app.py

import gradio as gr
import openai
from huggingface_hub import HfApi
import os

# Initialize Hugging Face API to fetch secrets
api = HfApi()

# Fetch the OpenAI API key from Hugging Face secrets
openai.api_key = api.get_repo_secret(
    repo_id="tchans123/gpt2-deployment",  # Replace with your Hugging Face repository ID
    secret_name="OPENAI_API_KEY"  # Name of the secret in Hugging Face
)

def generate_text(prompt, max_length=100, temperature=1.0):
    try:
        # Generate text using OpenAI's GPT-3 (text-davinci-003)
        response = openai.Completion.create(
            engine="text-davinci-003",  # Specify the engine
            prompt=prompt,
            max_tokens=max_length,
            temperature=temperature,
            n=1,
            stop=None
        )
        return response.choices[0].text.strip()
    except openai.error.OpenAIError as e:
        return f"An OpenAI error occurred: {str(e)}"
    except Exception as e:
        return f"An unexpected error occurred: {str(e)}"

# Create a Gradio interface
iface = gr.Interface(
    fn=generate_text,
    inputs=[
        gr.Textbox(lines=3, placeholder="Enter your prompt here...", label="Prompt"),
        gr.Slider(minimum=50, maximum=500, value=100, label="Max Length"),
        gr.Slider(minimum=0.1, maximum=1.5, value=1.0, label="Temperature"),
    ],
    outputs=gr.Textbox(label="Generated Text"),
    title="GPT Text Generator",
    description="Enter a prompt and generate text using OpenAI's GPT (text-davinci-003)."
)

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