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Update prompts/main_prompt.py
Browse files- prompts/main_prompt.py +0 -112
prompts/main_prompt.py
CHANGED
@@ -71,115 +71,3 @@ x = \frac{600}{2} = 300
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🔹 **Conclusion:**
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- *The new paint mixture has a **stronger red color** than before.*
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"""
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---
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### **🚀 Fully Updated `app.py` (Ensuring Proper OpenAI Handling & Math Formatting)**
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```python
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import os
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import gradio as gr
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from dotenv import load_dotenv
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from openai import OpenAI
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from prompts.initial_prompt import INITIAL_PROMPT
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from prompts.main_prompt import MAIN_PROMPT, PROBLEM_SOLUTIONS_PROMPT # Ensure both are imported
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# Load the API key from the .env file if available
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if os.path.exists(".env"):
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load_dotenv(".env")
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OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
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client = OpenAI(api_key=OPENAI_API_KEY)
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def gpt_call(history, user_message,
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model="gpt-4o",
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max_tokens=512,
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temperature=0.7,
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top_p=0.95):
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"""
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Calls the OpenAI API to generate a response.
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- history: [(user_text, assistant_text), ...]
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- user_message: The latest user message
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"""
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# 1) Start with the system message (MAIN_PROMPT) for context
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messages = [{"role": "system", "content": MAIN_PROMPT}]
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# 2) Append conversation history
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for user_text, assistant_text in history:
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if user_text:
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messages.append({"role": "user", "content": user_text})
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if assistant_text:
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messages.append({"role": "assistant", "content": assistant_text})
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# 3) Add the user's new message
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messages.append({"role": "user", "content": user_message})
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# 4) Call OpenAI API
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completion = client.chat.completions.create(
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model=model,
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messages=messages,
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max_tokens=max_tokens,
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temperature=temperature,
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top_p=top_p
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)
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return completion.choices[0].message.content
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def respond(user_message, history):
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"""
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Handles user input and gets GPT-generated response.
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- user_message: The message from the user
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- history: List of (user, assistant) conversation history
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"""
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if not user_message:
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return "", history
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# If the user asks for a solution, inject PROBLEM_SOLUTIONS_PROMPT
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if "solution" in user_message.lower():
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assistant_reply = gpt_call(history, PROBLEM_SOLUTIONS_PROMPT)
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else:
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assistant_reply = gpt_call(history, user_message)
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# Add conversation turn to history
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history.append((user_message, assistant_reply))
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return "", history
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##############################
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# Gradio Blocks UI
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##############################
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with gr.Blocks() as demo:
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gr.Markdown("## AI-Guided Math PD Chatbot")
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# Chatbot initialization with the first AI message
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chatbot = gr.Chatbot(
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value=[("", INITIAL_PROMPT)], # Initial system prompt
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height=500
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)
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# Stores the chat history
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state_history = gr.State([("", INITIAL_PROMPT)])
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# User input field
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user_input = gr.Textbox(
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placeholder="Type your message here...",
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label="Your Input"
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)
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# Submit action
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user_input.submit(
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respond,
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inputs=[user_input, state_history],
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outputs=[user_input, chatbot]
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).then(
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fn=lambda _, h: h,
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inputs=[user_input, chatbot],
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outputs=[state_history]
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)
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# Run the Gradio app
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860, share=True)
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🔹 **Conclusion:**
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- *The new paint mixture has a **stronger red color** than before.*
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"""
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