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import os | |
import gradio as gr | |
from openai import OpenAI | |
from prompts.main_prompt import MAIN_PROMPT | |
from prompts.initial_prompt import INITIAL_PROMPT | |
# ✅ Load API Key | |
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") | |
if not OPENAI_API_KEY: | |
raise ValueError("⚠️ Missing OpenAI API Key! Set it in Hugging Face 'Settings' → 'Secrets'.") | |
client = OpenAI(api_key=OPENAI_API_KEY) | |
# ✅ Ensure Conversation Happens Step by Step | |
def respond(user_message, history): | |
if not user_message: | |
return "", history | |
# ✅ AI only sends ONE response at a time (step-by-step) | |
try: | |
assistant_reply = client.chat.completions.create( | |
model="gpt-4o", | |
messages=[ | |
{"role": "system", "content": MAIN_PROMPT}, | |
*[ | |
{"role": "user", "content": u} if i % 2 == 0 else {"role": "assistant", "content": a} | |
for i, (u, a) in enumerate(history) | |
], | |
{"role": "user", "content": user_message} | |
], | |
max_tokens=256, # ✅ Limits response size (so AI doesn’t dump everything) | |
temperature=0.7, | |
).choices[0].message.content | |
except Exception as e: | |
assistant_reply = f"⚠️ Error: {str(e)}" | |
history.append((user_message, assistant_reply)) | |
return "", history | |
# ✅ Fix Gradio UI to Start Properly | |
with gr.Blocks() as demo: | |
gr.Markdown("# **AI-Guided Math PD Chatbot**") | |
chatbot = gr.Chatbot( | |
value=[("", INITIAL_PROMPT)], # ✅ Starts with an introduction message | |
height=500 | |
) | |
state_history = gr.State([("", INITIAL_PROMPT)]) # ✅ Ensures step-by-step history | |
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() | |