app.py

import os
import gradio as gr

# Import the OpenAI Python library
from openai import OpenAI

# Load your API key from an environment variable or secret management service
%set_env OPENAI_API_KEY="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"

# Define a function that uses the OpenAI Completion API to generate text
def chatgpt(prompt, examples=[]):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=prompt + "\n\nExamples:\n" + "\n".join(examples),
        temperature=0.5,
        max_tokens=100,
        top_p=1,
        frequency_penalty=0,
        presence_penalty=0,
        stop=["\n"]
    )
    return response.choices[0].text

# Define the Gradio interface
# Define the Gradio interface
interface = gr.Interface(
    fn=chatgpt,
    inputs=[
        gr.Textbox(
            show_label=False,
            placeholder="Enter your prompt here..."
        ),
        gr.Textbox(
            show_label=False,
            placeholder="Enter some examples, separated by newlines..."
        )
    ],
    outputs="text",
    title="Convera",
    description="A conversational AI powered by OpenAI and Gradio."
)

# Launch the interface
interface.launch(share=True)