app.py

import gradio as gr
import openai

# Set up the OpenAI API credentials
openai.api_key = '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'

# Define a function that takes a user's input as a prompt and uses the OpenAI API to generate a response
def generate_response(prompt):
    # Set up the OpenAI API parameters
    model_engine = "text-davinci-002"
    temperature = 0.7
    max_tokens = 100

    # Generate the response using the OpenAI API
    response = openai.Completion.create(
        engine=model_engine,
        prompt=prompt,
        temperature=temperature,
        max_tokens=max_tokens
    )

    # Extract the generated text from the API response
    generated_text = response.choices[0].text.strip()

    return generated_text

# Define a Gradio interface for the medical bot
def medical_bot(prompt):
    # Generate a response using the OpenAI API
    response = generate_response(prompt)

    # Return the response to the user
    return response

# Set up the Gradio interface for the medical bot
interface = gr.Interface(
    fn=medical_bot,
    inputs=gr.inputs.Textbox(label="Ask for a health tip or benefit:"),
    outputs="text",
    title="Medical Bot",
    description="Get health tips and benefits from the OpenAI API."
)

# Run the Gradio interface
interface.launch()