diff --git a/README.md b/README.md
index 05a5a4d..4766e1f 100644
--- a/README.md
+++ b/README.md
@@ -41,7 +41,7 @@ apt-get -y update && apt-get -y upgrade && apt-get install -y --no-install-recom
 ## Running the worker using a CUDA-compatible GPU
 
 To run the worker with a CUDA-compatible GPU instead of the CPU, either:
-- skip steps 3 & 4 from "Docker CPU run" 
+- skip steps 3 & 4 from "Docker CPU run"
 - skip step 3 from "Local run"
 
 **(OUTDATED BUT STILL MIGHT BE RELEVANT)** To run it using a GPU via Docker, check [the instructions from the dane-example-worker](https://github.com/beeldengeluid/dane-example-worker/wiki/Containerization#running-the-container-locally-using-cuda-compatible-gpu).
@@ -50,7 +50,7 @@ Make sure to replace `dane-example-worker` in the `docker run` command with `dan
 
 ## Expected run
 
-The expected run of this worker (whose pipeline is defined in `asr.py`) should 
+The expected run of this worker (whose pipeline is defined in `asr.py`) should
 
 1. download the input file if it isn't downloaded already in `/data/input/` via `download.py`
 
@@ -80,4 +80,4 @@ The pre-trained Whisper model version can be adjusted in the `.env` file by edit
 
 We recommend version `large-v2` as it performs better than `large-v3` in our [benchmarks](https://opensource-spraakherkenning-nl.github.io/ASR_NL_results/).
 
-You can also specify an S3 URI if you have your own custom model available via S3 (by modifying the `W_MODEL` parameter).
\ No newline at end of file
+You can also specify an S3 URI if you have your own custom model available via S3 (by modifying the `W_MODEL` parameter).
diff --git a/asr.py b/asr.py
index 24c3f9c..11e97b8 100644
--- a/asr.py
+++ b/asr.py
@@ -1,8 +1,26 @@
 import logging
 import os
+import time
+import tomli
+
+from base_util import (
+    get_asset_info,
+    asr_output_dir,
+    save_provenance,
+    PROVENANCE_JSON_FILE,
+)
+from config import (
+    s3_endpoint_url,
+    s3_bucket,
+    s3_folder_in_bucket,
+    w_word_timestamps,
+    w_device,
+    w_model,
+    w_beam_size,
+    w_best_of,
+    w_vad,
+)
 
-from base_util import get_asset_info, asr_output_dir
-from config import s3_endpoint_url, s3_bucket, s3_folder_in_bucket
 from download import download_uri
 from whisper import run_asr, WHISPER_JSON_FILE
 from s3_util import S3Store
@@ -12,8 +30,19 @@
 logger = logging.getLogger(__name__)
 
 
-def run(input_uri: str, output_uri: str) -> bool:
+def _get_project_meta():
+    with open("pyproject.toml", mode="rb") as pyproject:
+        return tomli.load(pyproject)["tool"]["poetry"]
+
+
+pkg_meta = _get_project_meta()
+version = str(pkg_meta["version"])
+
+
+def run(input_uri: str, output_uri: str, model=None) -> bool:
     logger.info(f"Processing {input_uri} (save to --> {output_uri})")
+    start_time = time.time()
+    prov_steps = []  # track provenance
     # 1. download input
     result = download_uri(input_uri)
     logger.info(result)
@@ -21,39 +50,95 @@ def run(input_uri: str, output_uri: str) -> bool:
         logger.error("Could not obtain input, quitting...")
         return False
 
+    prov_steps.append(result.provenance)
+
     input_path = result.file_path
     asset_id, extension = get_asset_info(input_path)
     output_path = asr_output_dir(input_path)
 
     # 2. check if the input file is suitable for processing any further
-    transcoded_file_path = try_transcode(input_path, asset_id, extension)
-    if not transcoded_file_path:
+    transcode_output = try_transcode(input_path, asset_id, extension)
+    if not transcode_output:
         logger.error("The transcode failed to yield a valid file to continue with")
         return False
     else:
-        input_path = transcoded_file_path
+        input_path = transcode_output.transcoded_file_path
+        prov_steps.append(transcode_output.provenance)
 
     # 3. run ASR
     if not asr_already_done(output_path):
         logger.info("No Whisper transcript found")
-        run_asr(input_path, output_path)
+        whisper_prov = run_asr(input_path, output_path, model)
+        if whisper_prov:
+            prov_steps.append(whisper_prov)
     else:
         logger.info(f"Whisper transcript already present in {output_path}")
+        provenance = {
+            "activity_name": "Whisper transcript already exists",
+            "activity_description": "",
+            "processing_time_ms": "",
+            "start_time_unix": "",
+            "parameters": [],
+            "software_version": "",
+            "input_data": "",
+            "output_data": "",
+            "steps": [],
+        }
+        prov_steps.append(provenance)
 
     # 4. generate JSON transcript
     if not daan_transcript_already_done(output_path):
         logger.info("No DAAN transcript found")
-        success = generate_daan_transcript(output_path)
-        if not success:
+        daan_prov = generate_daan_transcript(output_path)
+        if daan_prov:
+            prov_steps.append(daan_prov)
+        else:
             logger.warning("Could not generate DAAN transcript")
     else:
         logger.info(f"DAAN transcript already present in {output_path}")
+        provenance = {
+            "activity_name": "DAAN transcript already exists",
+            "activity_description": "",
+            "processing_time_ms": "",
+            "start_time_unix": "",
+            "parameters": [],
+            "software_version": "",
+            "input_data": "",
+            "output_data": "",
+            "steps": [],
+        }
+        prov_steps.append(provenance)
+
+    end_time = (time.time() - start_time) * 1000
+    final_prov = {
+        "activity_name": "Whisper ASR Worker",
+        "activity_description": "Worker that gets a video/audio file as input and outputs JSON transcripts in various formats",
+        "processing_time_ms": end_time,
+        "start_time_unix": start_time,
+        "parameters": {
+            "word_timestamps": w_word_timestamps,
+            "device": w_device,
+            "vad": w_vad,
+            "model": w_model,
+            "beam_size": w_beam_size,
+            "best_of": w_best_of,
+        },
+        "software_version": version,
+        "input_data": input_uri,
+        "output_data": output_uri if output_uri else output_path,
+        "steps": prov_steps,
+    }
+
+    prov_success = save_provenance(final_prov, output_path)
+    if not prov_success:
+        logger.warning("Could not save the provenance")
 
     # 5. transfer output
     if output_uri:
         transfer_asr_output(output_path, asset_id)
     else:
         logger.info("No output_uri specified, so all is done")
+
     return True
 
 
@@ -84,19 +169,20 @@ def transfer_asr_output(output_path: str, asset_id: str) -> bool:
         [
             os.path.join(output_path, DAAN_JSON_FILE),
             os.path.join(output_path, WHISPER_JSON_FILE),
+            os.path.join(output_path, PROVENANCE_JSON_FILE),
         ],
     )
 
 
 # check if there is a whisper-transcript.json
-def asr_already_done(output_dir):
+def asr_already_done(output_dir) -> bool:
     whisper_transcript = os.path.join(output_dir, WHISPER_JSON_FILE)
     logger.info(f"Checking existence of {whisper_transcript}")
     return os.path.exists(os.path.join(output_dir, WHISPER_JSON_FILE))
 
 
 # check if there is a daan-es-transcript.json
-def daan_transcript_already_done(output_dir):
+def daan_transcript_already_done(output_dir) -> bool:
     daan_transcript = os.path.join(output_dir, DAAN_JSON_FILE)
     logger.info(f"Checking existence of {daan_transcript}")
     return os.path.exists(os.path.join(output_dir, DAAN_JSON_FILE))
diff --git a/base_util.py b/base_util.py
index 4ffd5fe..d0ea6fe 100644
--- a/base_util.py
+++ b/base_util.py
@@ -1,18 +1,19 @@
 import logging
-import ntpath
 import os
 import subprocess
+import json
 from typing import Tuple
 from config import data_base_dir
 
 
 LOG_FORMAT = "%(asctime)s|%(levelname)s|%(process)d|%(module)s|%(funcName)s|%(lineno)d|%(message)s"
+PROVENANCE_JSON_FILE = "provenance.json"
 logger = logging.getLogger(__name__)
 
 
 # the file name without extension is used as asset ID
 def get_asset_info(input_file: str) -> Tuple[str, str]:
-    file_name = ntpath.basename(input_file)
+    file_name = os.path.basename(input_file)
     asset_id, extension = os.path.splitext(file_name)
     logger.info(f"working with this asset ID {asset_id}")
     return asset_id, extension
@@ -56,3 +57,19 @@ def run_shell_command(cmd: str) -> bool:
     except Exception:
         logger.exception("Exception")
         return False
+
+
+def save_provenance(provenance: dict, asr_output_dir: str) -> bool:
+    logger.info(f"Saving provenance to: {asr_output_dir}")
+    try:
+        # write provenance.json
+        with open(
+            os.path.join(asr_output_dir, PROVENANCE_JSON_FILE), "w+", encoding="utf-8"
+        ) as f:
+            logger.info(provenance)
+            json.dump(provenance, f, ensure_ascii=False, indent=4)
+    except EnvironmentError as e:  # OSError or IOError...
+        logger.exception(os.strerror(e.errno))
+        return False
+
+    return True
diff --git a/daan_transcript.py b/daan_transcript.py
index 6c75526..ee77732 100644
--- a/daan_transcript.py
+++ b/daan_transcript.py
@@ -1,6 +1,7 @@
 import json
 import logging
 import os
+import time
 from typing import TypedDict, List, Optional
 from whisper import WHISPER_JSON_FILE
 
@@ -19,12 +20,13 @@ class ParsedResult(TypedDict):
 
 
 # asr_output_dir e.g /data/output/whisper-test/
-def generate_daan_transcript(asr_output_dir: str) -> bool:
+def generate_daan_transcript(asr_output_dir: str) -> Optional[dict]:
     logger.info(f"Generating transcript from: {asr_output_dir}")
+    start_time = time.time()
     whisper_transcript = load_whisper_transcript(asr_output_dir)
     if not whisper_transcript:
         logger.error("No whisper_transcript.json found")
-        return False
+        return None
 
     transcript = parse_whisper_transcript(whisper_transcript)
 
@@ -37,9 +39,21 @@ def generate_daan_transcript(asr_output_dir: str) -> bool:
             json.dump(transcript, f, ensure_ascii=False, indent=4)
     except EnvironmentError as e:  # OSError or IOError...
         logger.exception(os.strerror(e.errno))
-        return False
+        return None
 
-    return True
+    end_time = (time.time() - start_time) * 1000
+    provenance = {
+        "activity_name": "Whisper transcript -> DAAN transcript",
+        "activity_description": "Converts the output of Whisper to the DAAN index format",
+        "processing_time_ms": end_time,
+        "start_time_unix": start_time,
+        "parameters": [],
+        "software_version": "",
+        "input_data": whisper_transcript,
+        "output_data": transcript,
+        "steps": [],
+    }
+    return provenance
 
 
 def load_whisper_transcript(asr_output_dir: str) -> Optional[dict]:
diff --git a/download.py b/download.py
index ebbef59..5a55b90 100644
--- a/download.py
+++ b/download.py
@@ -17,7 +17,8 @@
 @dataclass
 class DownloadResult:
     file_path: str  # target_file_path,  # TODO harmonize with dane-download-worker
-    mime_type: str  # download_data.get("mime_type", "unknown"),
+    mime_type: str
+    provenance: dict
     download_time: float = -1  # time (ms) taken to receive data after request
     content_length: int = -1  # download_data.get("content_length", -1),
 
@@ -47,11 +48,25 @@ def http_download(url: str) -> Optional[DownloadResult]:
             os.makedirs(input_file_dir)
         with open(input_file, "wb") as file:
             response = requests.get(url)
+            if response.status_code >= 400:
+                logger.error(f"Could not download url: {response.status_code}")
+                return None
             file.write(response.content)
             file.close()
     download_time = (time.time() - start_time) * 1000  # time in ms
+    provenance = {
+        "activity_name": "Input download",
+        "activity_description": "Downloads the input file from INPUT_URI",
+        "processing_time_ms": download_time,
+        "start_time_unix": start_time,
+        "parameters": [],
+        "software_version": "",
+        "input_data": url,
+        "output_data": input_file,
+        "steps": [],
+    }
     return DownloadResult(
-        input_file, mime_type, download_time  # TODO add content_length
+        input_file, mime_type, provenance, download_time  # TODO add content_length
     )
 
 
@@ -86,7 +101,23 @@ def s3_download(s3_uri: str) -> Optional[DownloadResult]:
         if not success:
             logger.error("Failed to download input data from S3")
             return None
-    download_time = (time.time() - start_time) * 1000  # time in ms
+
+        download_time = int((time.time() - start_time) * 1000)  # time in ms
+    else:
+        download_time = -1  # Report back?
+
+    provenance = {
+        "activity_name": "Input download",
+        "activity_description": "Downloads the input file from INPUT_URI",
+        "processing_time_ms": download_time,
+        "start_time_unix": start_time,
+        "parameters": [],
+        "software_version": "",
+        "input_data": s3_uri,
+        "output_data": input_file,
+        "steps": [],
+    }
+
     return DownloadResult(
-        input_file, mime_type, download_time  # TODO add content_length
+        input_file, mime_type, provenance, download_time  # TODO add content_length
     )
diff --git a/main.py b/main.py
index ca31499..90a5e85 100644
--- a/main.py
+++ b/main.py
@@ -1,10 +1,6 @@
 import logging
 import sys
-
 from base_util import LOG_FORMAT
-from config import input_uri, output_uri
-import asr
-
 
 # initialises the root logger
 logging.basicConfig(
@@ -15,18 +11,41 @@
 logger = logging.getLogger()
 
 
+def run_api(port: int):
+    from whisper_api import api
+    import uvicorn
+
+    logger.info("Running Whisper as a service")
+    uvicorn.run(api, port=port, host="0.0.0.0")
+
+
+def run_job(input_uri: str, output_uri: str):
+    import asr
+
+    logger.info("Running Whisper as a one time job")
+    if not input_uri or not output_uri:
+        logger.error("Please supply the --input and --output params")
+        return False
+
+    return asr.run(input_uri, output_uri)
+
+
 # Start the worker
 if __name__ == "__main__":
-    from argparse import ArgumentParser
+    import sys
     from base_util import LOG_FORMAT
+    from config import input_uri, output_uri
+    from argparse import ArgumentParser
 
     # first read the CLI arguments
     parser = ArgumentParser(description="whisper-asr-worker")
+    parser.add_argument("--service", action="store", dest="service", default="n")
     parser.add_argument("--input", action="store", dest="input_uri", default=input_uri)
     parser.add_argument(
         "--output", action="store", dest="output_uri", default=output_uri
     )
     parser.add_argument("--log", action="store", dest="loglevel", default="INFO")
+    parser.add_argument("--port", action="store", dest="port", default="5333")
     args = parser.parse_args()
 
     # initialises the root logger
@@ -41,7 +60,13 @@
     logger.info(f"Logger initialized (log level: {log_level})")
     logger.info(f"Got the following CMD line arguments: {args}")
 
-    if args.input_uri:
-        asr.run(args.input_uri, args.output_uri)
+    run_as_service = args.service == "y"
+
+    if run_as_service:
+        try:
+            port = int(args.port)
+            run_api(port)
+        except ValueError:
+            logger.error("--port must be a valid integer, quitting")
     else:
-        logger.error("Please supply the --input param (--output is optional)")
+        run_job(args.input_uri, args.output_uri)
diff --git a/model_download.py b/model_download.py
index 86a5a79..bed7e18 100644
--- a/model_download.py
+++ b/model_download.py
@@ -6,6 +6,7 @@
 
 
 # makes sure the model is available locally, if not download it from S3, if that fails download from Huggingface
+# FIXME should also check if the correct w_model type is available locally!
 def check_model_availability() -> bool:
     logger = logging.getLogger(__name__)
     if os.path.exists(model_base_dir + "/model.bin"):
diff --git a/poetry.lock b/poetry.lock
index 011855d..b6184a1 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,35 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
+[[package]]
+name = "anyio"
+version = "4.6.0"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
+    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
+]
+
+[package.dependencies]
+idna = ">=2.8"
+sniffio = ">=1.1"
+
+[package.extras]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "av"
@@ -102,19 +133,30 @@ d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
+[[package]]
+name = "blinker"
+version = "1.8.2"
+description = "Fast, simple object-to-object and broadcast signaling"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "blinker-1.8.2-py3-none-any.whl", hash = "sha256:1779309f71bf239144b9399d06ae925637cf6634cf6bd131104184531bf67c01"},
+    {file = "blinker-1.8.2.tar.gz", hash = "sha256:8f77b09d3bf7c795e969e9486f39c2c5e9c39d4ee07424be2bc594ece9642d83"},
+]
+
 [[package]]
 name = "boto3"
-version = "1.35.10"
+version = "1.35.31"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.35.10-py3-none-any.whl", hash = "sha256:add26dd58e076dfd387013da4704716d5cff215cf14f6d4347c4b9b7fc1f0b8e"},
-    {file = "boto3-1.35.10.tar.gz", hash = "sha256:189ab1e2b4cd86df56f82438d89b4040eb140c92683f1bda7cb2e62624f20ea5"},
+    {file = "boto3-1.35.31-py3-none-any.whl", hash = "sha256:2e9af74d10d8af7610a8d8468d2914961f116912a024fce17351825260385a52"},
+    {file = "boto3-1.35.31.tar.gz", hash = "sha256:8c593af260c4ea3eb6f079c09908f94494ca2222aa4e40a7ff490fab1cee8b39"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.10,<1.36.0"
+botocore = ">=1.35.31,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -123,13 +165,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.10"
+version = "1.35.31"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.10-py3-none-any.whl", hash = "sha256:0d96d023b9b0cea99a0a428a431d011329d3a958730aee6ed6a6fec5d9bfbc03"},
-    {file = "botocore-1.35.10.tar.gz", hash = "sha256:6c8a1377b6636a0d80218115e1cd41bcceba0a2f050b79c206f4cf8d002c54d7"},
+    {file = "botocore-1.35.31-py3-none-any.whl", hash = "sha256:4cee814875bc78656aef4011d3d6b2231e96f53ea3661ee428201afb579d5c31"},
+    {file = "botocore-1.35.31.tar.gz", hash = "sha256:f7bfa910cf2cbcc8c2307c1cf7b93495d614c2d699883417893e0a337fe4eb63"},
 ]
 
 [package.dependencies]
@@ -138,93 +180,93 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.21.2)"]
+crt = ["awscrt (==0.21.5)"]
 
 [[package]]
 name = "certifi"
-version = "2024.7.4"
+version = "2024.8.30"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
-    {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
+    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
+    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
 ]
 
 [[package]]
 name = "cffi"
-version = "1.17.0"
+version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
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 [package.dependencies]
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 ]
 
 [package.dependencies]
@@ -543,6 +580,26 @@ numpy = "*"
 pyyaml = ">=5.3,<7"
 setuptools = "*"
 
+[[package]]
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+version = "0.115.0"
+description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"},
+    {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"},
+]
+
+[package.dependencies]
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
+starlette = ">=0.37.2,<0.39.0"
+typing-extensions = ">=4.8.0"
+
+[package.extras]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
+
 [[package]]
 name = "faster-whisper"
 version = "1.0.3"
@@ -567,19 +624,19 @@ dev = ["black (==23.*)", "flake8 (==6.*)", "isort (==5.*)", "pytest (==7.*)"]
 
 [[package]]
 name = "filelock"
-version = "3.15.4"
+version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"},
-    {file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"},
+    {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
+    {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)", "virtualenv (>=20.26.2)"]
-typing = ["typing-extensions (>=4.8)"]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
+typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "flake8"
@@ -597,6 +654,28 @@ mccabe = ">=0.7.0,<0.8.0"
 pycodestyle = ">=2.12.0,<2.13.0"
 pyflakes = ">=3.2.0,<3.3.0"
 
+[[package]]
+name = "flask"
+version = "3.0.3"
+description = "A simple framework for building complex web applications."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "flask-3.0.3-py3-none-any.whl", hash = "sha256:34e815dfaa43340d1d15a5c3a02b8476004037eb4840b34910c6e21679d288f3"},
+    {file = "flask-3.0.3.tar.gz", hash = "sha256:ceb27b0af3823ea2737928a4d99d125a06175b8512c445cbd9a9ce200ef76842"},
+]
+
+[package.dependencies]
+blinker = ">=1.6.2"
+click = ">=8.1.3"
+itsdangerous = ">=2.1.2"
+Jinja2 = ">=3.1.2"
+Werkzeug = ">=3.0.0"
+
+[package.extras]
+async = ["asgiref (>=3.2)"]
+dotenv = ["python-dotenv"]
+
 [[package]]
 name = "flatbuffers"
 version = "24.3.25"
@@ -610,13 +689,13 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2024.6.1"
+version = "2024.9.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2024.6.1-py3-none-any.whl", hash = "sha256:3cb443f8bcd2efb31295a5b9fdb02aee81d8452c80d28f97a6d0959e6cee101e"},
-    {file = "fsspec-2024.6.1.tar.gz", hash = "sha256:fad7d7e209dd4c1208e3bbfda706620e0da5142bebbd9c384afb95b07e798e49"},
+    {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"},
+    {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"},
 ]
 
 [package.extras]
@@ -647,15 +726,26 @@ test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,
 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "h11"
+version = "0.14.0"
+description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
+    {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
+]
+
 [[package]]
 name = "huggingface-hub"
-version = "0.24.6"
+version = "0.25.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.24.6-py3-none-any.whl", hash = "sha256:a990f3232aa985fe749bc9474060cbad75e8b2f115f6665a9fda5b9c97818970"},
-    {file = "huggingface_hub-0.24.6.tar.gz", hash = "sha256:cc2579e761d070713eaa9c323e3debe39d5b464ae3a7261c39a9195b27bb8000"},
+    {file = "huggingface_hub-0.25.1-py3-none-any.whl", hash = "sha256:a5158ded931b3188f54ea9028097312cb0acd50bffaaa2612014c3c526b44972"},
+    {file = "huggingface_hub-0.25.1.tar.gz", hash = "sha256:9ff7cb327343211fbd06e2b149b8f362fd1e389454f3f14c6db75a4999ee20ff"},
 ]
 
 [package.dependencies]
@@ -697,15 +787,18 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
 
 [[package]]
 name = "idna"
-version = "3.8"
+version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "idna-3.8-py3-none-any.whl", hash = "sha256:050b4e5baadcd44d760cedbd2b8e639f2ff89bbc7a5730fcc662954303377aac"},
-    {file = "idna-3.8.tar.gz", hash = "sha256:d838c2c0ed6fced7693d5e8ab8e734d5f8fda53a039c0164afb0b82e771e3603"},
+    {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
+    {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
 ]
 
+[package.extras]
+all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
+
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
@@ -717,6 +810,17 @@ files = [
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
+[[package]]
+name = "itsdangerous"
+version = "2.2.0"
+description = "Safely pass data to untrusted environments and back."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "itsdangerous-2.2.0-py3-none-any.whl", hash = "sha256:c6242fc49e35958c8b15141343aa660db5fc54d4f13a1db01a3f5891b98700ef"},
+    {file = "itsdangerous-2.2.0.tar.gz", hash = "sha256:e0050c0b7da1eea53ffaf149c0cfbb5c6e2e2b69c4bef22c81fa6eb73e5f6173"},
+]
+
 [[package]]
 name = "jinja2"
 version = "3.1.4"
@@ -827,13 +931,13 @@ files = [
 
 [[package]]
 name = "moto"
-version = "5.0.13"
+version = "5.0.16"
 description = ""
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "moto-5.0.13-py2.py3-none-any.whl", hash = "sha256:984377a9c4536543fc09f49a1d5210c61c4a4f55c79719f7d9f8dcdd9bf55ea5"},
-    {file = "moto-5.0.13.tar.gz", hash = "sha256:ddf8864f0d61af88fd07a4e5eac428c6bebf4fcd10023f8e756e65e9e7b7e4a5"},
+    {file = "moto-5.0.16-py2.py3-none-any.whl", hash = "sha256:4ce1f34830307f7b3d553d77a7ef26066ab3b70006203d4226b048c9d11a3be4"},
+    {file = "moto-5.0.16.tar.gz", hash = "sha256:f4afb176a964cd7a70da9bc5e053d43109614ce3cab26044bcbb53610435dff4"},
 ]
 
 [package.dependencies]
@@ -848,24 +952,24 @@ werkzeug = ">=0.5,<2.2.0 || >2.2.0,<2.2.1 || >2.2.1"
 xmltodict = "*"
 
 [package.extras]
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+all = ["PyYAML (>=5.1)", "antlr4-python3-runtime", "aws-xray-sdk (>=0.93,!=0.96)", "cfn-lint (>=0.40.0)", "docker (>=3.0.0)", "graphql-core", "joserfc (>=0.9.0)", "jsondiff (>=1.1.2)", "jsonpath-ng", "multipart", "openapi-spec-validator (>=0.5.0)", "py-partiql-parser (==0.5.6)", "pyparsing (>=3.0.7)", "setuptools"]
 apigateway = ["PyYAML (>=5.1)", "joserfc (>=0.9.0)", "openapi-spec-validator (>=0.5.0)"]
 apigatewayv2 = ["PyYAML (>=5.1)", "openapi-spec-validator (>=0.5.0)"]
 appsync = ["graphql-core"]
 awslambda = ["docker (>=3.0.0)"]
 batch = ["docker (>=3.0.0)"]
-cloudformation = ["PyYAML (>=5.1)", "aws-xray-sdk (>=0.93,!=0.96)", "cfn-lint (>=0.40.0)", "docker (>=3.0.0)", "graphql-core", "joserfc (>=0.9.0)", "jsondiff (>=1.1.2)", "openapi-spec-validator (>=0.5.0)", "py-partiql-parser (==0.5.5)", "pyparsing (>=3.0.7)", "setuptools"]
+cloudformation = ["PyYAML (>=5.1)", "aws-xray-sdk (>=0.93,!=0.96)", "cfn-lint (>=0.40.0)", "docker (>=3.0.0)", "graphql-core", "joserfc (>=0.9.0)", "jsondiff (>=1.1.2)", "openapi-spec-validator (>=0.5.0)", "py-partiql-parser (==0.5.6)", "pyparsing (>=3.0.7)", "setuptools"]
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-dynamodbstreams = ["docker (>=3.0.0)", "py-partiql-parser (==0.5.5)"]
+dynamodb = ["docker (>=3.0.0)", "py-partiql-parser (==0.5.6)"]
+dynamodbstreams = ["docker (>=3.0.0)", "py-partiql-parser (==0.5.6)"]
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 glue = ["pyparsing (>=3.0.7)"]
 iotdata = ["jsondiff (>=1.1.2)"]
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-resourcegroupstaggingapi = ["PyYAML (>=5.1)", "cfn-lint (>=0.40.0)", "docker (>=3.0.0)", "graphql-core", "joserfc (>=0.9.0)", "jsondiff (>=1.1.2)", "openapi-spec-validator (>=0.5.0)", "py-partiql-parser (==0.5.5)", "pyparsing (>=3.0.7)"]
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+proxy = ["PyYAML (>=5.1)", "antlr4-python3-runtime", "aws-xray-sdk (>=0.93,!=0.96)", "cfn-lint (>=0.40.0)", "docker (>=2.5.1)", "graphql-core", "joserfc (>=0.9.0)", "jsondiff (>=1.1.2)", "jsonpath-ng", "multipart", "openapi-spec-validator (>=0.5.0)", "py-partiql-parser (==0.5.6)", "pyparsing (>=3.0.7)", "setuptools"]
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 stepfunctions = ["antlr4-python3-runtime", "jsonpath-ng"]
 xray = ["aws-xray-sdk (>=0.93,!=0.96)", "setuptools"]
@@ -946,97 +1050,98 @@ files = [
 
 [[package]]
 name = "numpy"
-version = "2.1.0"
+version = "2.1.1"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.10"
 files = [
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 [[package]]
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 version = "3.2.0"
@@ -1155,24 +1384,27 @@ files = [
 
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+[package.extras]
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+
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 [package.dependencies]
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 [[package]]
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 check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.5.2)"]
-core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.text (>=3.7)", "more-itertools (>=8.8)", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
+core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.collections", "jaraco.functools", "jaraco.text (>=3.7)", "more-itertools", "more-itertools (>=8.8)", "packaging", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
@@ -1366,15 +1598,43 @@ files = [
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
 ]
 
+[[package]]
+name = "sniffio"
+version = "1.3.1"
+description = "Sniff out which async library your code is running under"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
+    {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
+]
+
+[[package]]
+name = "starlette"
+version = "0.38.6"
+description = "The little ASGI library that shines."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "starlette-0.38.6-py3-none-any.whl", hash = "sha256:4517a1409e2e73ee4951214ba012052b9e16f60e90d73cfb06192c19203bbb05"},
+    {file = "starlette-0.38.6.tar.gz", hash = "sha256:863a1588f5574e70a821dadefb41e4881ea451a47a3cd1b4df359d4ffefe5ead"},
+]
+
+[package.dependencies]
+anyio = ">=3.4.0,<5"
+
+[package.extras]
+full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
+
 [[package]]
 name = "sympy"
-version = "1.13.2"
+version = "1.13.3"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "sympy-1.13.2-py3-none-any.whl", hash = "sha256:c51d75517712f1aed280d4ce58506a4a88d635d6b5dd48b39102a7ae1f3fcfe9"},
-    {file = "sympy-1.13.2.tar.gz", hash = "sha256:401449d84d07be9d0c7a46a64bd54fe097667d5e7181bfe67ec777be9e01cb13"},
+    {file = "sympy-1.13.3-py3-none-any.whl", hash = "sha256:54612cf55a62755ee71824ce692986f23c88ffa77207b30c1368eda4a7060f73"},
+    {file = "sympy-1.13.3.tar.gz", hash = "sha256:b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9"},
 ]
 
 [package.dependencies]
@@ -1500,6 +1760,17 @@ dev = ["tokenizers[testing]"]
 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
 testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
+[[package]]
+name = "tomli"
+version = "2.0.1"
+description = "A lil' TOML parser"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
+    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+]
+
 [[package]]
 name = "tqdm"
 version = "4.66.5"
@@ -1522,13 +1793,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "types-requests"
-version = "2.32.0.20240712"
+version = "2.32.0.20240914"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-requests-2.32.0.20240712.tar.gz", hash = "sha256:90c079ff05e549f6bf50e02e910210b98b8ff1ebdd18e19c873cd237737c1358"},
-    {file = "types_requests-2.32.0.20240712-py3-none-any.whl", hash = "sha256:f754283e152c752e46e70942fa2a146b5bc70393522257bb85bd1ef7e019dcc3"},
+    {file = "types-requests-2.32.0.20240914.tar.gz", hash = "sha256:2850e178db3919d9bf809e434eef65ba49d0e7e33ac92d588f4a5e295fffd405"},
+    {file = "types_requests-2.32.0.20240914-py3-none-any.whl", hash = "sha256:59c2f673eb55f32a99b2894faf6020e1a9f4a402ad0f192bfee0b64469054310"},
 ]
 
 [package.dependencies]
@@ -1547,13 +1818,13 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.2.2"
+version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"},
-    {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"},
+    {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
+    {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
 ]
 
 [package.extras]
@@ -1562,6 +1833,24 @@ h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
+[[package]]
+name = "uvicorn"
+version = "0.30.6"
+description = "The lightning-fast ASGI server."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "uvicorn-0.30.6-py3-none-any.whl", hash = "sha256:65fd46fe3fda5bdc1b03b94eb634923ff18cd35b2f084813ea79d1f103f711b5"},
+    {file = "uvicorn-0.30.6.tar.gz", hash = "sha256:4b15decdda1e72be08209e860a1e10e92439ad5b97cf44cc945fcbee66fc5788"},
+]
+
+[package.dependencies]
+click = ">=7.0"
+h11 = ">=0.8"
+
+[package.extras]
+standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+
 [[package]]
 name = "validators"
 version = "0.33.0"
@@ -1607,4 +1896,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.11"
-content-hash = "9b2004da35d7ce67f7db01cb8e39881972c57ecdc846315b68d07eff4b99dc8f"
+content-hash = "499f96375940c9a93fadd4e6f91b91ed01b5a389bdbe7110df15c8358df9c15f"
diff --git a/pyproject.toml b/pyproject.toml
index d559910..af9feca 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [tool.poetry]
-name = "dane-whisper-asr-worker"
-version = "0.2.0"
-description = "Whisper worker"
+name = "whisper-asr-worker"
+version = "0.3.0"
+description = "Whisper speech-to-text worker"
 authors = ["Dragos Alexandru Balan <d.a.balan@utwente.nl>"]
 license = "MIT"
 readme = "README.md"
@@ -12,6 +12,9 @@ python = "^3.11"
 faster-whisper = "^1.0.1"
 validators = "^0.33.0"
 boto3 = "^1.35.10"
+fastapi = "^0.115.0"
+uvicorn = "^0.30.6"
+tomli = "^2.0.1"
 
 [tool.poetry.group.dev.dependencies]
 moto = "^5.0.13"
@@ -22,6 +25,12 @@ black = "^24.8.0"
 pytest = "^8.3.2"
 pytest-cov = "^5.0.0"
 
+[tool.poetry.group.service]
+optional = true
+
+[tool.poetry.group.service.dependencies]
+flask = "^3.0.3"
+
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
diff --git a/s3_util.py b/s3_util.py
index 842aee7..303d36e 100644
--- a/s3_util.py
+++ b/s3_util.py
@@ -1,10 +1,10 @@
 import boto3
 import logging
-import ntpath
 import os
 from pathlib import Path
 import tarfile
 from typing import List, Tuple, Optional
+from urllib.parse import urlparse
 
 
 logger = logging.getLogger(__name__)
@@ -16,12 +16,12 @@ def generate_asset_id_from_input_file(
     input_file: str, with_extension: bool = False
 ) -> str:
     logger.info(f"generating asset ID for {input_file}")
-    file_name = ntpath.basename(input_file)  # grab the file_name from the path
+    file_name = os.path.basename(input_file)  # grab the file_name from the path
     if with_extension:
         return file_name
 
     # otherwise cut off the extension
-    asset_id, extension = os.path.splitext(file_name)
+    asset_id, _ = os.path.splitext(file_name)
     return asset_id
 
 
@@ -60,10 +60,11 @@ def tar_list_of_files(archive_path: str, file_list: List[str]) -> bool:
 
 
 def validate_s3_uri(s3_uri: str) -> bool:
-    if s3_uri[0:5] != "s3://":
+    o = urlparse(s3_uri, allow_fragments=False)
+    if o.scheme != "s3":
         logger.error(f"Invalid protocol in {s3_uri}")
         return False
-    if len(s3_uri[5:].split("/")) < 2:
+    if o.path == "":
         logger.error(f"No object_name specified {s3_uri}")
         return False
     return True
@@ -72,9 +73,9 @@ def validate_s3_uri(s3_uri: str) -> bool:
 # e.g. "s3://beng-daan-visxp/jaap-dane-test/dane-test.tar.gz"
 def parse_s3_uri(s3_uri: str) -> Tuple[str, str]:
     logger.info(f"Parsing s3 URI {s3_uri}")
-    tmp = s3_uri[5:]
-    bucket = tmp[: tmp.find("/")]  # beng-daan-visxp
-    object_name = s3_uri[len(bucket) + 6 :]  # jaap-dane-test/dane-test.tar.gz
+    o = urlparse(s3_uri, allow_fragments=False)
+    bucket = o.netloc  # beng-daan-visxp
+    object_name = o.path.lstrip("/")  # jaap-dane-test/dane-test.tar.gz
     return bucket, object_name
 
 
diff --git a/scripts/run-api.sh b/scripts/run-api.sh
new file mode 100755
index 0000000..c953098
--- /dev/null
+++ b/scripts/run-api.sh
@@ -0,0 +1,16 @@
+#!/bin/bash
+
+SCRIPTPATH="$( cd "$(dirname "$0")" ; pwd -P )"
+
+# Load the environment vars
+if [ -f "$SCRIPTPATH/../.env.override" ]; then
+    set -a
+    source $SCRIPTPATH/../.env.override
+    set +a
+else
+    echo "No .env.override found"
+fi
+
+cd "$SCRIPTPATH/.."
+
+poetry run python main.py --service=y "$@"
diff --git a/transcode.py b/transcode.py
index 2a1231d..29f3982 100644
--- a/transcode.py
+++ b/transcode.py
@@ -1,22 +1,47 @@
+from dataclasses import dataclass
 import logging
 import os
 from typing import Optional
+import time
 
 import base_util
-from base_util import data_base_dir
+from config import data_base_dir
 
 logger = logging.getLogger(__name__)
 
 
-def try_transcode(input_path, asset_id, extension) -> Optional[str]:
+@dataclass
+class TranscodeOutput:
+    transcoded_file_path: str
+    provenance: dict
+
+
+def try_transcode(input_path, asset_id, extension) -> Optional[TranscodeOutput]:
     logger.info(
         f"Determining if transcode is required for input_path: {input_path} asset_id: ({asset_id}) extension: ({extension})"
     )
+    start_time = time.time()
+
+    provenance = {
+        "activity_name": "Transcoding",
+        "activity_description": "Checks if input needs transcoding, then transcodes if so",
+        "processing_time_ms": -1,
+        "start_time_unix": start_time,
+        "parameters": [],
+        "software_version": "",
+        "input_data": input_path,
+        "output_data": "",
+        "steps": [],
+    }
 
     # if it's alrady valid audio no transcode necessary
     if _is_audio_file(extension):
         logger.info("No transcode required, input is audio")
-        return input_path
+        end_time = (time.time() - start_time) * 1000
+        provenance["processing_time_ms"] = end_time
+        provenance["output_data"] = input_path
+        provenance["steps"].append("No transcode required, input is audio")
+        return TranscodeOutput(input_path, provenance)
 
     # if the input format is not supported, fail
     if not _is_transcodable(extension):
@@ -27,7 +52,13 @@ def try_transcode(input_path, asset_id, extension) -> Optional[str]:
     transcoded_file_path = os.path.join(data_base_dir, "input", f"{asset_id}.mp3")
     if os.path.exists(transcoded_file_path):
         logger.info("Transcoded file is already available, no new transcode needed")
-        return transcoded_file_path
+        end_time = (time.time() - start_time) * 1000
+        provenance["processing_time_ms"] = end_time
+        provenance["output_data"] = transcoded_file_path
+        provenance["steps"].append(
+            "Transcoded file is already available, no new transcode needed"
+        )
+        return TranscodeOutput(transcoded_file_path, provenance)
 
     # go ahead and transcode the input file
     success = transcode_to_mp3(
@@ -41,8 +72,11 @@ def try_transcode(input_path, asset_id, extension) -> Optional[str]:
     logger.info(
         f"Transcode of {extension} successful, returning: {transcoded_file_path}"
     )
-
-    return transcoded_file_path
+    end_time = (time.time() - start_time) * 1000
+    provenance["processing_time_ms"] = end_time
+    provenance["output_data"] = transcoded_file_path
+    provenance["steps"].append("Transcode successful")
+    return TranscodeOutput(transcoded_file_path, provenance)
 
 
 def transcode_to_mp3(path: str, asr_path: str) -> bool:
diff --git a/whisper.py b/whisper.py
index e0c01b8..d730d22 100644
--- a/whisper.py
+++ b/whisper.py
@@ -1,16 +1,19 @@
-import ast
+# import ast
 import json
 import logging
 import os
+import time
+from typing import Optional
 
 import faster_whisper
+from faster_whisper import WhisperModel
 from config import (
     model_base_dir,
     w_beam_size,
     w_best_of,
     w_device,
     w_model,
-    w_temperature,
+    # w_temperature,
     w_vad,
     w_word_timestamps,
 )
@@ -22,25 +25,40 @@
 logger = logging.getLogger(__name__)
 
 
-def run_asr(input_path, output_dir) -> bool:
-    logger.info(f"Starting ASR on {input_path}")
-    logger.info(f"Device used: {w_device}")
-    # checking if model needs to be downloaded from HF or not
-    model_location = model_base_dir if check_model_availability() else w_model
-    model = faster_whisper.WhisperModel(
-        model_location,
-        device=w_device,
+# loads the whisper model
+# FIXME does not check if the specific model_type is available locally!
+def load_model(model_base_dir: str, model_type: str, device: str) -> WhisperModel:
+    logger.info(f"Loading Whisper model {model_type} for device: {device}")
+
+    # change HuggingFace dir to where model is downloaded
+    os.environ["HF_HOME"] = model_base_dir
+
+    # determine loading locally or have Whisper download from HuggingFace
+    model_location = model_base_dir if check_model_availability() else model_type
+    model = WhisperModel(
+        model_location,  # either local path or e.g. large-v2 (means HuggingFace download)
+        device=device,
         compute_type=(  # float16 only works on GPU, float32 or int8 are recommended for CPU
-            "float16" if w_device == "cuda" else "float32"
+            "float16" if device == "cuda" else "float32"
         ),
     )
-    logger.info("Model loaded, now getting segments")
+    logger.info(f"Model loaded from location: {model_location}")
+    return model
+
+
+def run_asr(input_path, output_dir, model=None) -> Optional[dict]:
+    logger.info(f"Starting ASR on {input_path}")
+    start_time = time.time()
+    if not model:
+        logger.info("Model not passed as param, need to obtain it first")
+        model = load_model(model_base_dir, w_model, w_device)
+    logger.info("Processing segments")
     segments, _ = model.transcribe(
         input_path,
         vad_filter=w_vad,
         beam_size=w_beam_size,
         best_of=w_best_of,
-        temperature=ast.literal_eval(w_temperature),
+        # temperature=ast.literal_eval(w_temperature),
         language="nl",
         word_timestamps=w_word_timestamps,
     )
@@ -76,8 +94,24 @@ def run_asr(input_path, output_dir) -> bool:
     asset_id, _ = get_asset_info(input_path)
     # Also added "carrierId" because the DAAN format requires it
     transcript = {"carrierId": asset_id, "segments": segments_to_add}
+    end_time = time.time() - start_time
+
+    provenance = {
+        "activity_name": "Running Whisper",
+        "activity_description": "Runs Whisper to transcribe the input audio file",
+        "processing_time_ms": end_time,
+        "start_time_unix": start_time,
+        "parameters": [],
+        "software_version": faster_whisper.__version__,
+        "input_data": input_path,
+        "output_data": transcript,
+        "steps": [],
+    }
 
-    return write_whisper_json(transcript, output_dir)
+    if write_whisper_json(transcript, output_dir):
+        return provenance
+    else:
+        return None
 
 
 def write_whisper_json(transcript: dict, output_dir: str) -> bool:
diff --git a/whisper_api.py b/whisper_api.py
new file mode 100644
index 0000000..a3b7af3
--- /dev/null
+++ b/whisper_api.py
@@ -0,0 +1,182 @@
+import logging
+from typing import Optional
+from uuid import uuid4
+from fastapi import BackgroundTasks, FastAPI, HTTPException, status, Response
+from asr import run
+from whisper import load_model
+from enum import Enum
+from pydantic import BaseModel
+from config import (
+    model_base_dir,
+    w_device,
+    w_model,
+)
+
+logger = logging.getLogger(__name__)
+api = FastAPI()
+
+logger.info(f"Loading model on device {w_device}")
+
+# load the model in memory on API startup
+model = load_model(model_base_dir, w_model, w_device)
+
+
+class Status(Enum):
+    CREATED = "CREATED"
+    PROCESSING = "PROCESSING"
+    DONE = "DONE"
+    ERROR = "ERROR"
+
+
+class Task(BaseModel):
+    input_uri: str
+    output_uri: str
+    status: Status = Status.CREATED
+    id: str | None = None
+
+
+all_tasks = [
+    {
+        "input_uri": "http://modelhosting.beng.nl/whisper-asr.mp3",
+        "output_uri": "http://modelhosting.beng.nl/assets/whisper-asr",
+        "id": "test1",
+    }
+]
+
+current_task: Optional[Task] = None
+
+
+def get_task_by_id(task_id: str) -> Optional[dict]:
+    tasks_with_id = list(filter(lambda t: t.get("id", "") == task_id, all_tasks))
+    return tasks_with_id[0] if tasks_with_id else None
+
+
+def get_task_index(task_id: str) -> int:
+    for index, task in enumerate(all_tasks):
+        if task.get("id", "") == task_id:
+            return index
+    return -1
+
+
+def delete_task(task_id) -> bool:
+    task_index = get_task_index(task_id)
+    if task_index == -1:
+        return False
+    del all_tasks[task_index]
+    return True
+
+
+def update_task(task: Task) -> bool:
+    if not task or not task.id:
+        logger.warning("Tried to update task without ID")
+        return False
+    task_index = get_task_index(task.id)
+    if task_index == -1:
+        return False
+    all_tasks[task_index] = task.dict()
+    return True
+
+
+def try_whisper(task: Task):
+    logger.info(f"Trying to call Whisper for task {task.id}")
+
+    try:
+        task.status = Status.PROCESSING
+        update_task(task)
+        run(task.input_uri, task.output_uri, model)
+        task.status = Status.DONE
+    except Exception:
+        logger.exception("Failed to run whisper")
+        task.status = Status.ERROR
+    update_task(task)
+    logger.info(f"Done running Whisper for task {task.id}")
+
+
+@api.get("/tasks")
+def get_all_tasks():
+    return {"data": all_tasks}
+
+
+@api.post("/tasks", status_code=status.HTTP_201_CREATED)
+async def create_task(
+    task: Task, background_tasks: BackgroundTasks, response: Response
+):
+    global current_task
+    print(current_task)
+    if current_task and current_task.status == Status.PROCESSING:
+        response.status_code = status.HTTP_503_SERVICE_UNAVAILABLE
+        return {"msg": "The worker is currently processing a task. Try again later!"}
+    background_tasks.add_task(try_whisper, task)
+    task.id = str(uuid4())
+    task.status = Status.CREATED
+    current_task = task
+    task_dict = task.dict()
+    all_tasks.append(task_dict)
+    return {"data": task_dict, "msg": "Successfully added task", "task_id": task.id}
+
+
+@api.get("/tasks/{task_id}")
+async def get_task(task_id: str):
+    task = get_task_by_id(task_id)
+    if not task:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail=f"Task {task_id} not found"
+        )
+    return {"data": task}
+
+
+@api.delete("/tasks/{task_id}")
+async def remove_task(task_id: str):
+    success = delete_task(task_id)
+    if not success:
+        raise HTTPException(
+            status_code=status.HTTP_404_NOT_FOUND, detail=f"Task {task_id} not found"
+        )
+    return {
+        "msg": (
+            f"Successfully deleted task {task_id}"
+            if success
+            else f"Failed to delete task {task_id}"
+        ),
+        "task_id": task_id,
+    }
+
+
+@api.get("/ping")
+async def ping():
+    return "pong"
+
+
+if __name__ == "__main__":
+    import sys
+    import uvicorn
+    from argparse import ArgumentParser
+    from base_util import LOG_FORMAT
+
+    # first read the CLI arguments
+    parser = ArgumentParser(description="whisper-api")
+    parser.add_argument("--port", action="store", dest="port", default="5333")
+    parser.add_argument("--log", action="store", dest="loglevel", default="INFO")
+    args = parser.parse_args()
+
+    # initialises the root logger
+    logging.basicConfig(
+        stream=sys.stdout,  # configure a stream handler only for now (single handler)
+        format=LOG_FORMAT,
+    )
+
+    # setting the loglevel
+    log_level = args.loglevel.upper()
+    logger.setLevel(log_level)
+    logger.info(f"Logger initialized (log level: {log_level})")
+    logger.info(f"Got the following CMD line arguments: {args}")
+
+    port = 5333
+    try:
+        port = int(args.port)
+    except ValueError:
+        logger.error(
+            f"--port must be a valid integer, starting with default port {port}"
+        )
+
+    uvicorn.run(api, port=port, host="0.0.0.0")