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3.8 kB
| import os | |
| import gradio as gr | |
| from dotenv import load_dotenv | |
| from openai import OpenAI | |
| from prompts.initial_prompt import INITIAL_PROMPT | |
| from prompts.main_prompt import MAIN_PROMPT | |
| # Load OpenAI API Key from .env file | |
| if os.path.exists(".env"): | |
| load_dotenv(".env") | |
| OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") | |
| client = OpenAI(api_key=OPENAI_API_KEY) | |
| def gpt_call(history, user_message, | |
| model="gpt-4o-mini", | |
| max_tokens=1024, | |
| temperature=0.7, | |
| top_p=0.95): | |
| """ | |
| Calls OpenAI Chat API to generate responses. | |
| - history: [(user_text, assistant_text), ...] | |
| - user_message: latest message from user | |
| """ | |
| messages = [{"role": "system", "content": MAIN_PROMPT}] | |
| # Add conversation history | |
| for user_text, assistant_text in history: | |
| if user_text: | |
| messages.append({"role": "user", "content": user_text}) | |
| if assistant_text: | |
| messages.append({"role": "assistant", "content": assistant_text}) | |
| messages.append({"role": "user", "content": user_message}) | |
| # OpenAI API Call | |
| completion = client.chat.completions.create( | |
| model=model, | |
| messages=messages, | |
| max_tokens=max_tokens, | |
| temperature=temperature, | |
| top_p=top_p | |
| ) | |
| response = completion.choices[0].message.content | |
| # Ensure AI always asks for reasoning first before answering | |
| if any(keyword in user_message.lower() for keyword in ["problem 2", "problem 3"]): | |
| response = "Interesting! Before we move on, what do you think about this problem? Is it proportional? Why or why not? Let's explore your reasoning first.\n\n" + response | |
| # Push for deeper explanations—even if the answer is correct | |
| if any(keyword in user_message.lower() for keyword in ["correct", "right", "exactly"]): | |
| response = "That’s a great insight! But let’s push further—can you explain it another way? Could someone misunderstand this concept? Let’s explore that.\n\n" + response | |
| # Ensure the AI always asks a follow-up before moving to the next question | |
| if any(keyword in user_message.lower() for keyword in ["move on", "next question"]): | |
| response = "Before we continue, let’s reflect for a moment—what was the biggest takeaway from this problem? Could we change something and still get a non-proportional relationship?\n\n" + response | |
| # Make the Problem-Posing Activity more interactive | |
| if "pose a problem" in user_message.lower(): | |
| response += "\n\nThat's a great start! But let's refine it—does your problem truly show a non-proportional relationship? What would happen if we removed the fixed cost? Try adjusting it and see if it still works!" | |
| return response | |
| def respond(user_message, history): | |
| """ | |
| Handles user input and chatbot responses. | |
| """ | |
| if not user_message: | |
| return "", history | |
| assistant_reply = gpt_call(history, user_message) | |
| history.append((user_message, assistant_reply)) | |
| return "", history | |
| ############################## | |
| # Gradio Blocks UI | |
| ############################## | |
| with gr.Blocks() as demo: | |
| gr.Markdown("## AI-Guided Math PD Chatbot") | |
| chatbot = gr.Chatbot( | |
| value=[("", INITIAL_PROMPT)], | |
| height=600 | |
| ) | |
| state_history = gr.State([("", INITIAL_PROMPT)]) | |
| user_input = gr.Textbox( | |
| placeholder="Type your message here...", | |
| label="Your Input" | |
| ) | |
| user_input.submit( | |
| respond, | |
| inputs=[user_input, state_history], | |
| outputs=[user_input, chatbot] | |
| ).then( | |
| fn=lambda _, h: h, | |
| inputs=[user_input, chatbot], | |
| outputs=[state_history] | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(server_name="0.0.0.0", server_port=7860, share=True) | |