app.py

import openai
import os
import gradio as gr

# Fetching API key from environment variable
API_KEY = os.environ['API_KEY']

# Setting up OpenAI API credentials
openai.api_key = API_KEY
model_engine = 'text-davinci-002'
prompt = 'Please solve the following math problem: '

# Defining the function to solve math problems
def math_tutor(problem):
    response = openai.Completion.create(
        engine='gpt-3.5-turbo-0301',
        prompt=prompt + problem,
        max_tokens=50,
        n=1,
        stop=None,
        temperature=0.7,
    )
    answer = response.choices[0].text.strip()
    return answer

# Creating a Gradio interface for the math tutor
iface = gr.Interface(
    fn=math_tutor, 
    inputs=gr.inputs.Textbox(label="Enter a math problem"), 
    outputs="text",
    title="Math Tutor",
    description="Enter a math problem and the Math Tutor will solve it for you!",
    theme="compact"
)

# Running the Gradio interface
if __name__ == '__main__':
    iface.launch()