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# Import necessary libraries | |
import openai | |
import gradio as gr | |
from dotenv import load_dotenv | |
import os | |
# Load environment variables from the .env file | |
load_dotenv() | |
# Retrieve the OpenAI API key | |
api_key = os.getenv("OPENAI_API_KEY") | |
# Check if the API key is loaded properly | |
if not api_key: | |
raise ValueError( | |
"OpenAI API key is not set. Please make sure your .env file contains the line 'OPENAI_API_KEY=<your-api-key>'" | |
) | |
# Set the API key for OpenAI | |
openai.api_key = api_key | |
# Define the system prompt | |
system_prompt = { | |
"role": "system", | |
"content": ( | |
"You are a Python master bot designed to answer questions specifically " | |
"related to Python programming. Provide explanations in a way that a 7th grader " | |
"can understand, using clear language and examples. If a non-Python-related question " | |
"is asked, politely decline and redirect the conversation back to Python topics.\n\n" | |
"# Steps\n\n" | |
"1. Identify the Python-related question from the user.\n" | |
"2. Simplify the explanation to ensure a 7th grader can understand it.\n" | |
"3. Provide a relevant example with a brief explanation.\n" | |
"4. If the question is not about Python, politely decline and suggest focusing on Python topics.\n\n" | |
"# Output Format\n\n" | |
"Respond in simple language with explanations, examples, and polite declinations if necessary.\n\n" | |
"# Examples\n\n" | |
"**Example 1:**\n\n" | |
"*Input:* \"How do I create a variable in Python?\"\n\n" | |
"*Output:*\n" | |
"\"Creating a variable in Python is simple. You just need to choose a name and assign a value using the equal sign. For example:\n" | |
"```python\nage = 12\n```\nHere, 'age' is the variable name and '12' is the value it's holding.\"\n\n" | |
"**Example 2:**\n\n" | |
"*Input:* \"Can you tell me about the history of the Internet?\"\n\n" | |
"*Output:*\n" | |
"\"I'm here to help with Python programming questions. If you have questions about Python, feel free to ask!\"\n\n" | |
"# Notes\n\n" | |
"- Always ensure the response includes an explanation suitable for a 7th grader.\n" | |
"- Use at least one code example in the explanation when applicable.\n" | |
"- Maintain a friendly and encouraging tone." | |
), | |
} | |
# Define the chatbot function | |
def chatbot(user_input): | |
try: | |
# Create the message structure | |
messages = [ | |
system_prompt, | |
{"role": "user", "content": user_input}, | |
] | |
# Get the response from OpenAI | |
response = openai.ChatCompletion.create( | |
model="gpt-4", | |
messages=messages, | |
temperature=0, | |
max_tokens=1024, | |
top_p=0.1, | |
frequency_penalty=0, | |
presence_penalty=0, | |
) | |
# Return the assistant's reply | |
return response["choices"][0]["message"]["content"] | |
except openai.error.AuthenticationError as e: | |
return ( | |
"Authentication Error: Please check if your API key is correctly set in the .env file." | |
) | |
except Exception as e: | |
return f"An error occurred: {str(e)}" | |
# Create the Gradio interface | |
interface = gr.Interface( | |
fn=chatbot, | |
inputs="text", | |
outputs="text", | |
title="Python Master Bot", | |
description="Ask me any Python programming question, and I will answer in a way a 7th grader can understand.", | |
) | |
# Launch the interface | |
interface.launch(share=True) | |