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import os
import openai
import gradio as gr
from dotenv import load_dotenv
# Load API key from .env file
load_dotenv()
api_key = os.getenv("openai")
if not api_key:
raise ValueError("API Key not found! Ensure you have set 'OPENAI_API_KEY' in your .env file.")
# Set up OpenAI API Key
openai.api_key = api_key
# Define chatbot function
def python_tutor_bot(user_input):
if not user_input.strip():
return "Please enter a valid question."
try:
response = openai.ChatCompletion.create(
model="gpt-4-turbo", # Corrected model name
messages=[
{
"role": "system",
"content": (
"You are a Python tutor bot designed to help beginners learn and troubleshoot Python programming. "
"Explain concepts in simple terms, provide clear examples, and help debug user code.\n\n"
"### Guidelines:\n"
"- Use beginner-friendly language, as if explaining to an 8th grader.\n"
"- Offer simple code examples to illustrate concepts.\n"
"- Identify and fix errors in user-provided code with explanations.\n"
"- Encourage follow-up questions to ensure understanding.\n"
),
},
{"role": "user", "content": user_input}
],
temperature=0.1,
max_tokens=1000,
top_p=0.9,
frequency_penalty=0,
presence_penalty=0.3
)
return response["choices"][0]["message"]["content"]
except openai.error.OpenAIError as e:
return f"Error: {str(e)}"
# Create Gradio chat interface
chatbot_ui = gr.Interface(
fn=python_tutor_bot,
inputs=gr.Textbox(lines=3, placeholder="Ask me anything about Python..."),
outputs=gr.Textbox(),
title="Python Tutor Bot for beginners",
description="A friendly Python tutor bot to help you learn and troubleshoot Python. Ask any question!"
)
# Launch Gradio UI
if __name__ == "__main__":
chatbot_ui.launch()
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