alpha test for resume & technical

jiatastic · Jun 25, 2023 · ca4b2bd · ca4b2bd
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diff --git a/.idea/.gitignore b/.idea/.gitignore
diff --git a/.idea/GPTInterviewer.iml b/.idea/GPTInterviewer.iml
diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml
diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml
diff --git a/.idea/misc.xml b/.idea/misc.xml
diff --git a/.idea/modules.xml b/.idea/modules.xml
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
diff --git a/.streamlit/config.toml b/.streamlit/config.toml
@@ -0,0 +1,4 @@
+[theme]
+base = 'light'
+primaryColor = 'F63366'
+font = 'serif'
diff --git a/.streamlit/secrets.toml b/.streamlit/secrets.toml
@@ -0,0 +1,6 @@
+OPENAI_API_KEY = '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'
+ELEVEN_API_KEY = '395a093ac46c19c9dad5a0ecd29ace8a'
+SPEECH_KEY = '34372e8d5836409482ccbeec4358ba95'
+SPEECH_REGION = 'eastus'
+
+
diff --git a/GPTInterviewer/azure_service/__pycache__/__init__.cpython-310.pyc b/GPTInterviewer/azure_service/__pycache__/__init__.cpython-310.pyc
diff --git a/GPTInterviewer/interviews/__pycache__/__init__.cpython-310.pyc b/GPTInterviewer/interviews/__pycache__/__init__.cpython-310.pyc
diff --git a/GPTInterviewer/interviews/__pycache__/phonescreen.cpython-310.pyc b/GPTInterviewer/interviews/__pycache__/phonescreen.cpython-310.pyc
diff --git a/GPTInterviewer/prompts/__pycache__/__init__.cpython-310.pyc b/GPTInterviewer/prompts/__pycache__/__init__.cpython-310.pyc
diff --git a/GPTInterviewer/speech_recognition/__pycache__/__init__.cpython-310.pyc b/GPTInterviewer/speech_recognition/__pycache__/__init__.cpython-310.pyc
diff --git a/GPTInterviewer/st_audiorec/__pycache__/__init__.cpython-310.pyc b/GPTInterviewer/st_audiorec/__pycache__/__init__.cpython-310.pyc
diff --git a/GPTInterviewer/st_audiorec/frontend/build/index.html b/GPTInterviewer/st_audiorec/frontend/build/index.html
diff --git a/GPTInterviewer/temp/audio.wav b/GPTInterviewer/temp/audio.wav
diff --git a/GPTInterviewer/README.md → README.md b/GPTInterviewer/README.md → README.md
@@ -1,13 +1,13 @@
----
-title: AI Interviewer
-emoji: 🐨
-colorFrom: green
-colorTo: green
-sdk: streamlit
-sdk_version: 1.21.0
-app_file: homepage.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: AI Interviewer
+emoji: 🐨
+colorFrom: green
+colorTo: green
+sdk: streamlit
+sdk_version: 1.21.0
+app_file: homepage.py
+pinned: false
+license: apache-2.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/GPTInterviewer/azure_service/__init__.py → azure_service/__init__.py b/GPTInterviewer/azure_service/__init__.py → azure_service/__init__.py
diff --git a/azure_service/__pycache__/__init__.cpython-310.pyc b/azure_service/__pycache__/__init__.cpython-310.pyc
diff --git a/...ache__/speech_synthesizer.cpython-310.pyc → ...ache__/speech_synthesizer.cpython-310.pyc b/...ache__/speech_synthesizer.cpython-310.pyc → ...ache__/speech_synthesizer.cpython-310.pyc
diff --git a/...iewer/azure_service/speech_synthesizer.py → azure_service/speech_synthesizer.py b/...iewer/azure_service/speech_synthesizer.py → azure_service/speech_synthesizer.py
@@ -1,13 +1,13 @@
-import streamlit as st
-import azure.cognitiveservices.speech as speechsdk
-def speech_synthesizer(text):
-
-    speech_key, service_region = st.secrets["SPEECH_KEY"], st.secrets["SPEECH_REGION"]
-    speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
-
-    speech_config.speech_synthesis_voice_name = 'en-US-JennyMultilingualNeural'
-
-    speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config)
-    result = speech_synthesizer.speak_text_async(text).get()
-
-    return result
+import streamlit as st
+import azure.cognitiveservices.speech as speechsdk
+def speech_synthesizer(text):
+
+    speech_key, service_region = st.secrets["SPEECH_KEY"], st.secrets["SPEECH_REGION"]
+    speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
+
+    speech_config.speech_synthesis_voice_name = 'en-US-JennyMultilingualNeural'
+
+    speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config)
+    result = speech_synthesizer.speak_text_async(text).get()
+
+    return result
diff --git a/GPTInterviewer/homepage.py → homepage.py b/GPTInterviewer/homepage.py → homepage.py
@@ -1,85 +1,85 @@
-import streamlit as st
-import json
-from streamlit_lottie import st_lottie
-from streamlit_option_menu import option_menu
-from PIL import Image
-
-st.spinner(text="loading...")
-
-def load_lottiefile(filepath: str):
-    with open(filepath, "r") as f:
-        return json.load(f)
-
-im = Image.open("static/images/chat.png")
-st.set_page_config(page_title = "GPTInterviewer", page_icon = im, layout = "wide")
-
-with st.sidebar:
-
-    st.markdown('### GPTInterviewer - V0.1.1')
-    st.markdown("""  
-    
-    #### What's Next? 
-    
-    v0.1.2: 
-    1. A more robust llm-powered evaluation system.
-    We're trying to build a system that are close to human evaluation in real world.
-    
-    #### Powered by
-    
-    [OpenAI](https://openai.com/)
-    
-    [FAISS](https://github.com/facebookresearch/faiss)
-    
-    [Langchain](https://github.com/hwchase17/langchain)
-    
-    #### Addition
-    We're trying to access GPT-4 for everyone to use.
-    
-    Feel free to contact us if you have any questions or suggestions.
-    
-    (Email: [email protected])
-    
-                """)
-
-st.markdown("<hr>", unsafe_allow_html=True)
-
-st.markdown("<h1 style='text-align: center; color: black;'>Your Career Workshop Anytime from Anywhere</h1>", unsafe_allow_html=True)
-st.markdown("<p style='text-align: center; color: grey;'> GPT Interviewer is a generative AI powered tool that provides you with realistic interview experience</p>", unsafe_allow_html=True)
-st.markdown("<p style='text-align: center; color: grey;'> You're no longer practice with a static list of questions.</p>", unsafe_allow_html=True)
-
-col1, col2, col3 = st.columns(3)
-with col1:
-    st.write(' ')
-with col2:
-    st_lottie(load_lottiefile("images/talk.json"), speed=1, reverse=False, loop=True, quality="high")
-with col3:
-    st.write(' ')
-
-selected = option_menu(
-        menu_title= None,
-        options=["Resume Screen", "Technical Screen", "Behavioral Screen"],
-        icons = ["cloud-upload", "cast", "cast"],
-        default_index=0,
-        orientation="horizontal",
-    )
-
-st.markdown("#")
-st.markdown("<hr>", unsafe_allow_html=True)
-
-st.markdown("<h1 style='text-align: center; color: black;'>Features</h1>", unsafe_allow_html=True)
-st.markdown("#")
-col1, col2, col3 = st.columns(3)
-with col1:
-    st_lottie(load_lottiefile("images/brain.json"), speed=1, reverse=False, loop=True, quality="high", height=300)
-    st.markdown("<h3 style='text-align: center; color: black;'>ask questions relevant to your resume and job description</h3>", unsafe_allow_html=True)
-with col2:
-    st_lottie(load_lottiefile("images/recording.json"), speed=1, reverse=False, loop=True, quality="high", height=300)
-    st.markdown("<h3 style='text-align: center; color: black;'>voice interaction</h3>", unsafe_allow_html=True)
-with col3:
-    st_lottie(load_lottiefile("images/evaluation.json"), speed=1, reverse=False, loop=True, quality="high", height=300)
-    st.markdown("<h3 style='text-align: center; color: black;'>AI evaluation</h3>", unsafe_allow_html=True)
-
-
-st.markdown("<hr>", unsafe_allow_html=True)
-st.markdown("<p style='text-align: center; color: grey;'> Contact: [email protected] </p>", unsafe_allow_html=True)
+import streamlit as st
+import json
+from streamlit_lottie import st_lottie
+from streamlit_option_menu import option_menu
+from PIL import Image
+
+st.spinner(text="loading...")
+
+def load_lottiefile(filepath: str):
+    with open(filepath, "r") as f:
+        return json.load(f)
+
+im = Image.open("static/images/chat.png")
+st.set_page_config(page_title = "GPTInterviewer", page_icon = im, layout = "wide")
+
+with st.sidebar:
+
+    st.markdown('### GPTInterviewer - V0.1.1')
+    st.markdown("""  
+    
+    #### What's Next? 
+    
+    v0.1.2: 
+    1. A more robust llm-powered evaluation system.
+    We're trying to build a system that are close to human evaluation in real world.
+    
+    #### Powered by
+    
+    [OpenAI](https://openai.com/)
+    
+    [FAISS](https://github.com/facebookresearch/faiss)
+    
+    [Langchain](https://github.com/hwchase17/langchain)
+    
+    #### Addition
+    We're trying to access GPT-4 for everyone to use.
+    
+    Feel free to contact us if you have any questions or suggestions.
+    
+    (Email: [email protected])
+    
+                """)
+
+st.markdown("<hr>", unsafe_allow_html=True)
+
+st.markdown("<h1 style='text-align: center; color: black;'>Your Career Workshop Anytime from Anywhere</h1>", unsafe_allow_html=True)
+st.markdown("<p style='text-align: center; color: grey;'> GPT Interviewer is a generative AI powered tool that provides you with realistic interview experience</p>", unsafe_allow_html=True)
+st.markdown("<p style='text-align: center; color: grey;'> You're no longer practice with a static list of questions.</p>", unsafe_allow_html=True)
+
+col1, col2, col3 = st.columns(3)
+with col1:
+    st.write(' ')
+with col2:
+    st_lottie(load_lottiefile("images/talk.json"), speed=1, reverse=False, loop=True, quality="high")
+with col3:
+    st.write(' ')
+
+selected = option_menu(
+        menu_title= None,
+        options=["Resume Screen", "Technical Screen", "Behavioral Screen"],
+        icons = ["cloud-upload", "cast", "cast"],
+        default_index=0,
+        orientation="horizontal",
+    )
+
+st.markdown("#")
+st.markdown("<hr>", unsafe_allow_html=True)
+
+st.markdown("<h1 style='text-align: center; color: black;'>Features</h1>", unsafe_allow_html=True)
+st.markdown("#")
+col1, col2, col3 = st.columns(3)
+with col1:
+    st_lottie(load_lottiefile("images/brain.json"), speed=1, reverse=False, loop=True, quality="high", height=300)
+    st.markdown("<h3 style='text-align: center; color: black;'>ask questions relevant to your resume and job description</h3>", unsafe_allow_html=True)
+with col2:
+    st_lottie(load_lottiefile("images/recording.json"), speed=1, reverse=False, loop=True, quality="high", height=300)
+    st.markdown("<h3 style='text-align: center; color: black;'>voice interaction</h3>", unsafe_allow_html=True)
+with col3:
+    st_lottie(load_lottiefile("images/evaluation.json"), speed=1, reverse=False, loop=True, quality="high", height=300)
+    st.markdown("<h3 style='text-align: center; color: black;'>AI evaluation</h3>", unsafe_allow_html=True)
+
+
+st.markdown("<hr>", unsafe_allow_html=True)
+st.markdown("<p style='text-align: center; color: grey;'> Contact: [email protected] </p>", unsafe_allow_html=True)
 st.markdown("<p style='text-align: center; color: grey;'> Fordham University Center of Digital Transformation DesignLAB </p>", unsafe_allow_html=True)
diff --git a/GPTInterviewer/images/brain.json → images/brain.json b/GPTInterviewer/images/brain.json → images/brain.json
diff --git a/GPTInterviewer/images/evaluation.json → images/evaluation.json b/GPTInterviewer/images/evaluation.json → images/evaluation.json
diff --git a/GPTInterviewer/images/hello.json → images/hello.json b/GPTInterviewer/images/hello.json → images/hello.json
diff --git a/GPTInterviewer/images/icon.png → images/icon.png b/GPTInterviewer/images/icon.png → images/icon.png
diff --git a/GPTInterviewer/images/interview.json → images/interview.json b/GPTInterviewer/images/interview.json → images/interview.json
diff --git a/GPTInterviewer/images/recording.json → images/recording.json b/GPTInterviewer/images/recording.json → images/recording.json
diff --git a/GPTInterviewer/images/talk.json → images/talk.json b/GPTInterviewer/images/talk.json → images/talk.json
diff --git a/GPTInterviewer/interviews/__init__.py → interviews/__init__.py b/GPTInterviewer/interviews/__init__.py → interviews/__init__.py
diff --git a/GPTInterviewer/interviews/phonescreen.py → interviews/phonescreen.py b/GPTInterviewer/interviews/phonescreen.py → interviews/phonescreen.py
@@ -1,21 +1,21 @@
-import langchain.chat_models.base
-from PyPDF2 import PdfReader
-from langchain.embeddings import OpenAIEmbeddings
-from langchain.text_splitter import NLTKTextSplitter
-from langchain.chains import RetrievalQA
-from langchain.vectorstores import Chroma
-import streamlit as st
-class phonescreen:
-
-    def __init__(self, pdf_file, retriever = None):
-        self.pdf_file = pdf_file
-        self.retriever = None
-
-    def Chat_OpenAI(self, query: str, llm: langchain.chat_models.base.BaseChatModel, chain_type_kwargs: dict, retriever, memory):
-
-            # Conversational Retrieval chain
-            qa = RetrievalQA.from_chain_type(llm= llm, chain_type_kwargs = chain_type_kwargs, chain_type = 'stuff', retriever = retriever, memory = memory)
-
-            answers = qa.run(query)
-
+import langchain.chat_models.base
+from PyPDF2 import PdfReader
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.text_splitter import NLTKTextSplitter
+from langchain.chains import RetrievalQA
+from langchain.vectorstores import Chroma
+import streamlit as st
+class phonescreen:
+
+    def __init__(self, pdf_file, retriever = None):
+        self.pdf_file = pdf_file
+        self.retriever = None
+
+    def Chat_OpenAI(self, query: str, llm: langchain.chat_models.base.BaseChatModel, chain_type_kwargs: dict, retriever, memory):
+
+            # Conversational Retrieval chain
+            qa = RetrievalQA.from_chain_type(llm= llm, chain_type_kwargs = chain_type_kwargs, chain_type = 'stuff', retriever = retriever, memory = memory)
+
+            answers = qa.run(query)
+
             return answers