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.github/workflows/update_space.yml

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+name: Run Python script
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v2
+
+      - name: Set up Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: "3.9"
+
+      - name: Install Gradio
+        run: python -m pip install gradio
+
+      - name: Log in to Hugging Face
+        run: python -c 'import huggingface_hub; huggingface_hub.login(token="${{ secrets.hf_token }}")'
+
+      - name: Deploy to Spaces
+        run: gradio deploy

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+flagged/

README.md

@@ -1,12 +1,56 @@
 ---
-title: Gpt Demo
-emoji: 🌖
-colorFrom: indigo
-colorTo: blue
-sdk: gradio
-sdk_version: 3.39.0
+title: gpt-demo
 app_file: app.py
-pinned: false
+sdk: gradio
+sdk_version: 3.34.0
 ---
+# Chatbot with OpenAI API and Gradio
+
+This is a simple chatbot application that uses the OpenAI API and Gradio library to generate responses based on user input. It allows you to have interactive conversations with the chatbot.
+
+## Prerequisites
+
+- Python 3.6 or higher
+- Pip package manager
+
+## Installation
+
+```
+pip install -r requirements.txt
+```
+
+## Configuration
+
+1. Create an OpenAI account if you don't have one already: https://openai.com/
+2. Obtain an API key from OpenAI.
+3. Create a file named `.env` in the project directory.
+4. Open the `.env` file and add the following line, replacing `YOUR_API_KEY` with your actual OpenAI API key:
+
+```
+   OPENAI_API_KEY=YOUR_API_KEY
+```
+
+## Usage
+
+1. Run the application:
+
+```
+   python app.py
+```
+
+2. The application will start and display a URL in the terminal.
+3. Open the provided URL in your web browser.
+4. Enter a text input in the input area, and the chatbot will generate a response.
+5. The response will be displayed in the output area of the interface.
+
+## Customization
+
+- To modify the behavior of the chatbot, you can edit the `predict()` function in `app.py`. This function handles the interaction with the OpenAI API and the generation of responses.
+
+## Contributing
+
+Contributions are welcome! If you find any issues or have suggestions for improvements, please create an issue or submit a pull request.
+
+## License
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

app.py

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+import gradio as gr
+import openai
+from dotenv import load_dotenv
+import os
+
+# Load the environment variables from the .env file
+load_dotenv("flagged/.env")
+
+print(os.getenv("OPENAI_API_KEY"))
+# Get the API key from the environment variable
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+
+def predict(input):
+    response = openai.ChatCompletion.create(
+        model="gpt-4", messages=[{"role": "user", "content": input}]
+    )
+    return response.choices[0].message.content
+
+
+demo = gr.Interface(fn=predict, inputs="text", outputs="text")
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+openai
+python-dotenv