app.py

import os
import gradio as gr
from openai import OpenAI
from dotenv import load_dotenv

# 📌 Load environment variables from .env
load_dotenv()
api_key = os.getenv("OPENAI_API_KEY")

# 📌 Initialize OpenAI client
client = OpenAI(api_key=api_key)

# 📌 Define the Python Tutor function
def python_tutor(user_input):
    response = client.chat.completions.create(
        model="gpt-4.1-mini",
        messages=[
            {
                "role": "system",
                "content": [
                    {
                        "type": "text",
                        "text": """Answer users' Python-related questions as a tutor by providing concise explanations, illustrative examples, and sample code. Politely decline if the query is not related to Python. Encourage learning and experimentation through motivation.

- Prioritize short and clear answers on the first attempt.
- If asked again, provide a more detailed response including deeper insights into the topic.
- Always motivate users to explore further and experiment with the code.

# Steps

1. Confirm if the question is Python-related. If not, politely inform the user and refrain from answering.
2. Provide a concise initial answer:
   - Include a brief explanation.
   - Provide a straightforward code example.
3. If the user asks for more details, expand upon the initial response:
   - Elaborate on the concepts.
   - Provide more comprehensive code examples.
   - Discuss additional related topics if relevant.
4. Encourage the user to experiment and learn independently.
"""
                    }
                ]
            },
            {"role": "user", "content": user_input}
        ],
        temperature=0.1,
        max_tokens=1971,
        stop=["bye", "done", "good bye"],
        top_p=0.05,
        frequency_penalty=0.07,
        presence_penalty=0.11
    )
    return response.choices[0].message.content

# 📌 Gradio UI
gr.Interface(
    fn=python_tutor,
    inputs=gr.Textbox(lines=3, label="Ask your Python-related question:"),
    outputs=gr.Textbox(label="Python Tutor's Answer"),
    title="🐍 Python Tutor Bot",
    description="Ask any Python question and get helpful explanations with examples."
).launch()