app.py

# app.py
import openai
import gradio as gr
import os

# ✅ Use the environment variable correctly
openai.api_key = os.environ.get("OPENAI_API_KEY")
openai.api_base = "https://api.groq.com/openai/v1"

# Tutor chatbot function
def tutor_chatbot(subject, question, chat_history=[]):
    try:
        messages = [
            {"role": "system", "content": f"You are a helpful and expert tutor in {subject}."},
            {"role": "user", "content": question}
        ]

        response = openai.ChatCompletion.create(
            model="llama3-8b-8192",  # Or "gemma-7b-it"
            messages=messages,
            temperature=0.5,
            max_tokens=800,
        )
        answer = response.choices[0].message.content
        chat_history.append((question, answer))
        return chat_history
    except Exception as e:
        return chat_history + [("Error", str(e))]

# List of available subjects
subjects = ["Math", "Physics", "Biology", "CSS Exam", "Computer Science", "History"]

# Gradio UI
with gr.Blocks() as demo:
    gr.Markdown("## 📚 AI Educational Tutor Chatbot (Groq API)")
    
    subject = gr.Dropdown(choices=subjects, label="Choose Subject")
    chatbot = gr.Chatbot()
    question = gr.Textbox(label="Ask your question:")
    state = gr.State([])

    submit_btn = gr.Button("Get Answer")
    submit_btn.click(fn=tutor_chatbot, inputs=[subject, question, state], outputs=[chatbot])

demo.launch()