Configure chatgpt-academic Python package

.github/workflows/publish.yml

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+# This workflow will upload a Python Package using Twine when a release is created
+# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
+
+# This workflow uses actions that are not certified by GitHub.
+# They are provided by a third-party and are governed by
+# separate terms of service, privacy policy, and support
+# documentation.
+
+name: Publish to PyPI
+
+on:
+  release:
+    types: [published]
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.11"
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install build
+      - name: Build package
+        run: python -m build
+      - name: Publish package
+        uses: pypa/[email protected]
+        with:
+          user: hailin
+          password: ${{ secrets.PYPI_PASSWORD }}

README.md

@@ -1,3 +1,12 @@
+# ChatGPT Academic Wrapper
+
+使用以下命令安装 ChatGPT Academic：
+```sh
+pip install chatgpt-academic
+```
+配置项目请使用 [环境变量](https://github.com/binary-husky/gpt_academic/wiki/项目配置说明#4-环境变量格式说明)。
+安装完成后，使用 `chatgpt-academic` 或 `gpta` 命令启动程序。
+
 > **Note**
 >
 > 2023.10.8: Gradio, Pydantic依赖调整，已修改 `requirements.txt`。请及时**更新代码**，安装依赖时，请严格选择`requirements.txt`中**指定的版本**

gradio/.dockerignore

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+templates/frontend
+templates/frontend/**/*

gradio/__init__.py

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+import pkgutil
+
+import gradio.components as components
+import gradio.inputs as inputs
+import gradio.outputs as outputs
+import gradio.processing_utils
+import gradio.templates
+import gradio.themes as themes
+from gradio.blocks import Blocks
+from gradio.components import (
+    HTML,
+    JSON,
+    AnnotatedImage,
+    Annotatedimage,
+    Audio,
+    BarPlot,
+    Button,
+    Carousel,
+    Chatbot,
+    Checkbox,
+    CheckboxGroup,
+    Checkboxgroup,
+    Code,
+    ColorPicker,
+    DataFrame,
+    Dataframe,
+    Dataset,
+    Dropdown,
+    File,
+    Gallery,
+    Highlight,
+    HighlightedText,
+    Highlightedtext,
+    Image,
+    Interpretation,
+    Json,
+    Label,
+    LinePlot,
+    Markdown,
+    Model3D,
+    Number,
+    Plot,
+    Radio,
+    ScatterPlot,
+    Slider,
+    State,
+    StatusTracker,
+    Text,
+    Textbox,
+    TimeSeries,
+    Timeseries,
+    UploadButton,
+    Variable,
+    Video,
+    component,
+)
+from gradio.events import SelectData
+from gradio.exceptions import Error
+from gradio.external import load
+from gradio.flagging import (
+    CSVLogger,
+    FlaggingCallback,
+    HuggingFaceDatasetJSONSaver,
+    HuggingFaceDatasetSaver,
+    SimpleCSVLogger,
+)
+from gradio.helpers import EventData, Progress, make_waveform, skip, update
+from gradio.helpers import create_examples as Examples  # noqa: N812
+from gradio.interface import Interface, TabbedInterface, close_all
+from gradio.ipython_ext import load_ipython_extension
+from gradio.layouts import Accordion, Box, Column, Group, Row, Tab, TabItem, Tabs, Floating
+from gradio.mix import Parallel, Series
+from gradio.routes import Request, mount_gradio_app
+from gradio.templates import (
+    Files,
+    ImageMask,
+    ImagePaint,
+    List,
+    Matrix,
+    Mic,
+    Microphone,
+    Numpy,
+    Paint,
+    Pil,
+    PlayableVideo,
+    Sketchpad,
+    TextArea,
+    Webcam,
+)
+from gradio.themes import Base as Theme
+
+current_pkg_version = (
+    (pkgutil.get_data(__name__, "version.txt") or b"").decode("ascii").strip()
+)
+__version__ = current_pkg_version

gradio/analytics.py

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+""" Functions related to analytics and telemetry. """
+from __future__ import annotations
+
+import json
+import os
+import pkgutil
+import threading
+import warnings
+from distutils.version import StrictVersion
+from typing import Any
+
+import requests
+
+import gradio
+from gradio.context import Context
+from gradio.utils import GRADIO_VERSION
+
+ANALYTICS_URL = "https://api.gradio.app/"
+PKG_VERSION_URL = "https://api.gradio.app/pkg-version"
+
+
+def analytics_enabled() -> bool:
+    """
+    Returns: True if analytics are enabled, False otherwise.
+    """
+    return os.getenv("GRADIO_ANALYTICS_ENABLED", "True") == "True"
+
+
+def _do_analytics_request(url: str, data: dict[str, Any]) -> None:
+    try:
+        requests.post(url, data=data, timeout=5)
+    except (requests.ConnectionError, requests.exceptions.ReadTimeout):
+        pass  # do not push analytics if no network
+
+
+def version_check():
+    if not analytics_enabled():
+        return
+    try:
+        version_data = pkgutil.get_data(__name__, "version.txt")
+        if not version_data:
+            raise FileNotFoundError
+        current_pkg_version = version_data.decode("ascii").strip()
+        latest_pkg_version = requests.get(url=PKG_VERSION_URL, timeout=3).json()[
+            "version"
+        ]
+        if StrictVersion(latest_pkg_version) > StrictVersion(current_pkg_version):
+            print(
+                f"IMPORTANT: You are using gradio version {current_pkg_version}, "
+                f"however version {latest_pkg_version} is available, please upgrade."
+            )
+            print("--------")
+    except json.decoder.JSONDecodeError:
+        warnings.warn("unable to parse version details from package URL.")
+    except KeyError:
+        warnings.warn("package URL does not contain version info.")
+    except Exception:
+        pass
+
+
+def get_local_ip_address() -> str:
+    """
+    Gets the public IP address or returns the string "No internet connection" if unable
+    to obtain it or the string "Analytics disabled" if a user has disabled analytics.
+    Does not make a new request if the IP address has already been obtained in the
+    same Python session.
+    """
+    if not analytics_enabled():
+        return "Analytics disabled"
+
+    if Context.ip_address is None:
+        try:
+            ip_address = requests.get(
+                "https://checkip.amazonaws.com/", timeout=3
+            ).text.strip()
+        except (requests.ConnectionError, requests.exceptions.ReadTimeout):
+            ip_address = "No internet connection"
+        Context.ip_address = ip_address
+    else:
+        ip_address = Context.ip_address
+    return ip_address
+
+
+def initiated_analytics(data: dict[str, Any]) -> None:
+    if not analytics_enabled():
+        return
+
+    threading.Thread(
+        target=_do_analytics_request,
+        kwargs={
+            "url": f"{ANALYTICS_URL}gradio-initiated-analytics/",
+            "data": {**data, "ip_address": get_local_ip_address()},
+        },
+    ).start()
+
+
+def launched_analytics(blocks: gradio.Blocks, data: dict[str, Any]) -> None:
+    if not analytics_enabled():
+        return
+
+    blocks_telemetry, inputs_telemetry, outputs_telemetry, targets_telemetry = (
+        [],
+        [],
+        [],
+        [],
+    )
+
+    from gradio.blocks import BlockContext
+
+    for x in list(blocks.blocks.values()):
+        blocks_telemetry.append(x.get_block_name()) if isinstance(
+            x, BlockContext
+        ) else blocks_telemetry.append(str(x))
+
+    for x in blocks.dependencies:
+        targets_telemetry = targets_telemetry + [
+            str(blocks.blocks[y]) for y in x["targets"]
+        ]
+        inputs_telemetry = inputs_telemetry + [
+            str(blocks.blocks[y]) for y in x["inputs"]
+        ]
+        outputs_telemetry = outputs_telemetry + [
+            str(blocks.blocks[y]) for y in x["outputs"]
+        ]
+    additional_data = {
+        "version": GRADIO_VERSION,
+        "is_kaggle": blocks.is_kaggle,
+        "is_sagemaker": blocks.is_sagemaker,
+        "using_auth": blocks.auth is not None,
+        "dev_mode": blocks.dev_mode,
+        "show_api": blocks.show_api,
+        "show_error": blocks.show_error,
+        "title": blocks.title,
+        "inputs": blocks.input_components
+        if blocks.mode == "interface"
+        else inputs_telemetry,
+        "outputs": blocks.output_components
+        if blocks.mode == "interface"
+        else outputs_telemetry,
+        "targets": targets_telemetry,
+        "blocks": blocks_telemetry,
+        "events": [str(x["trigger"]) for x in blocks.dependencies],
+    }
+
+    data.update(additional_data)
+    data.update({"ip_address": get_local_ip_address()})
+
+    threading.Thread(
+        target=_do_analytics_request,
+        kwargs={
+            "url": f"{ANALYTICS_URL}gradio-launched-telemetry/",
+            "data": data,
+        },
+    ).start()
+
+
+def integration_analytics(data: dict[str, Any]) -> None:
+    if not analytics_enabled():
+        return
+
+    threading.Thread(
+        target=_do_analytics_request,
+        kwargs={
+            "url": f"{ANALYTICS_URL}gradio-integration-analytics/",
+            "data": {**data, "ip_address": get_local_ip_address()},
+        },
+    ).start()
+
+
+def error_analytics(message: str) -> None:
+    """
+    Send error analytics if there is network
+    Parameters:
+        message: Details about error
+    """
+    if not analytics_enabled():
+        return
+
+    data = {"ip_address": get_local_ip_address(), "error": message}
+
+    threading.Thread(
+        target=_do_analytics_request,
+        kwargs={
+            "url": f"{ANALYTICS_URL}gradio-error-analytics/",
+            "data": data,
+        },
+    ).start()