| 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 |
|
|
| |
| 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): |
| messages = [{"role": "system", "content": MAIN_PROMPT}] |
| |
| 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}) |
| |
| completion = client.chat.completions.create(model=model, messages=messages, max_tokens=max_tokens, temperature=temperature, top_p=top_p) |
| |
| return completion.choices[0].message.content |
|
|
| def respond(user_message, history): |
| if not user_message: |
| return "", history |
|
|
| assistant_reply = gpt_call(history, user_message) |
| history.append((user_message, assistant_reply)) |
| return "", history |
|
|
| 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) |
|
|
