文件列表:

app.py (3484, 2023-08-21)
chat_log.json (135, 2023-08-21)
requirements.txt (14, 2023-08-21)
static/ (0, 2023-08-21)
static/index.html (8360, 2023-08-21)
static/profile_photo_chatbot1.png (1451, 2023-08-21)
static/profile_photo_chatbot2.png (1451, 2023-08-21)
static/profile_photo_chatbot3.png (1451, 2023-08-21)
static/your_profile_photo.png (1451, 2023-08-21)

# Flask Chatbot Simulator with OpenAI ## Overview This Flask-based application simulates a chatbot environment, leveraging the power of OpenAI's GPT-3.5-turbo model. Users can interact with multiple chatbot personalities, and the application responds in real-time using the GPT-3.5-turbo model. ## Features ### 1. Multiple Chatbot Personalities The application offers various chatbot personalities, each with a distinct behavior and response pattern: - DeveloperGPT: Answers coding questions and provides real-world code examples. - Helpful Assistant: Acts as a general-purpose helpful assistant. - Python Interpreter: Executes Python code provided by the user. ### 2. Dynamic Response Generation The chatbot dynamically generates responses based on the user's message and the selected chatbot personality. ### 3. Chat Log The application maintains a chat log, saving the history of interactions for each chatbot personality. This allows for context-aware responses. ### 4. Modular Code Structure The application's code is organized and modular, ensuring easy scalability and maintenance. ## Installation and Setup ### Prerequisites Ensure you have Flask and other necessary libraries installed: ``` pip install Flask openai ``` ### Running the Application 1. Clone/download the repository to your local machine. 2. Navigate to the project directory in the terminal. 3. Run the application using the command: ``` python app.py ``` 4. Open your browser and navigate to the provided address (usually `http://127.0.0.1:5000/`) to interact with the chatbot. ## Contributing Contributions are welcome! If you'd like to improve the application or add new features, please fork the repository, make your changes, and submit a pull request.

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