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| import os | |
| import openai | |
| import gradio as gr | |
| from dotenv import load_dotenv | |
| # Load API key from .env file | |
| load_dotenv() | |
| api_key = os.getenv("OPENAI_API_KEY") | |
| if not api_key: | |
| raise ValueError("API Key not found! Ensure you have added OPENAI_API_KEY in your .env file.") | |
| # Set up OpenAI API Key | |
| openai.api_key = api_key | |
| # Define chatbot function | |
| def python_tutor_bot(user_input): | |
| if not user_input.strip(): | |
| return "Please enter a valid question." | |
| # Create a completion request | |
| response = openai.ChatCompletion.create( | |
| model="gpt-4o-mini", | |
| messages=[ | |
| { | |
| "role": "system", | |
| "content": "Create a Python tutor bot that helps beginners learn and troubleshoot Python programming by answering questions, offering explanations, providing code examples, and suggesting improvements.\n\n" | |
| "Explain concepts like you are doing it for an 8th grader.\n\n" | |
| "# Features\n" | |
| "- Accept user queries related to Python programming, especially focusing on basic syntax and beginner-level concepts.\n" | |
| "- Provide simple and clear explanations suitable for novice users.\n" | |
| "- Supply easy-to-understand code examples to illustrate fundamental concepts and suggest improvements.\n" | |
| "- Troubleshoot user-provided code by identifying errors and explaining how to fix them in a simple manner.\n\n" | |
| "# Steps\n" | |
| "1. **Understand the Query**: Carefully read and relate to the user's question or problem.\n" | |
| "2. **Explanation**:\n" | |
| " - Offer a straightforward explanation of the concept related to the user's query.\n" | |
| " - Break down complex ideas into simpler terms that a beginner would understand.\n" | |
| "3. **Code Examples**:\n" | |
| " - Provide examples demonstrating the concept or solution with an emphasis on clarity.\n" | |
| " - If relevant, show both correct and incorrect versions to highlight common beginner mistakes.\n" | |
| "4. **Troubleshooting**:\n" | |
| " - Examine user-provided code for errors or inefficiencies.\n" | |
| " - Offer simple and clear suggestions on how to resolve issues.\n" | |
| "5. **Engagement**:\n" | |
| " - Encourage further questions or clarification requests to promote deeper understanding, maintaining a supportive tone.\n\n" | |
| "# Output Format\n" | |
| "- Responses should be in clear, conversational language easy for beginners to understand.\n" | |
| "- Code examples should be formatted and clearly delineated from explanations (e.g., using indentation or styled text).\n" | |
| "- Conclude with an inviting tone for follow-up questions.\n\n" | |
| }, | |
| { | |
| "role": "user", | |
| "content": user_input | |
| } | |
| ], | |
| temperature=0.03, | |
| max_tokens=2000, | |
| top_p=0.1, | |
| frequency_penalty=0.1, | |
| presence_penalty=0.95 | |
| ) | |
| # Return chatbot response | |
| return response["choices"][0]["message"]["content"] | |
| # Create Gradio chat interface with Submit Button | |
| chatbot_ui = gr.Interface( | |
| fn=python_tutor_bot, | |
| inputs=gr.Textbox(lines=3, placeholder="Ask me anything about Python..."), | |
| outputs=gr.Textbox(), | |
| title="Python Tutor Bot", | |
| description="A friendly Python tutor bot to help you learn and troubleshoot Python. Ask any question!" | |
| ) | |
| # Launch Gradio UI | |
| if __name__ == "__main__": | |
| chatbot_ui.launch(share=True) |