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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 |
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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, model="gpt-4o-mini", max_tokens=1024, temperature=0.7, top_p=0.95): |
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messages = [{"role": "system", "content": MAIN_PROMPT}] |
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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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messages.append({"role": "user", "content": user_message}) |
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completion = client.chat.completions.create(model=model, messages=messages, max_tokens=max_tokens, temperature=temperature, top_p=top_p) |
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return completion.choices[0].message.content |
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def respond(user_message, history): |
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if not user_message: |
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return "", history |
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assistant_reply = gpt_call(history, user_message) |
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history.append((user_message, assistant_reply)) |
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return "", history |
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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 = gr.Chatbot(value=[("", INITIAL_PROMPT)], height=600) |
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state_history = gr.State([("", INITIAL_PROMPT)]) |
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user_input = gr.Textbox(placeholder="Type your message here...", label="Your Input") |
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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]) |
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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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