app.py

import gradio as gr
import torch
import os
from diffusers import DiffusionPipeline
from huggingface_hub import InferenceApi

hf_api_key = os.getenv("PRODIGY_GA_02")
if hf_api_key is None:
    raise ValueError("Hugging Face API key 'PRODIGY_GA_02' not found. Ensure it is set as a secret.")

# Initialize the Hugging Face API with the restricted model and token
inference = InferenceApi(repo_id="stabilityai/stable-diffusion-3.5-medium", token=hf_api_key)

# Example inference request
response = inference(inputs="Your input text here")
print(response)

# Load model
model_id = "stable-diffusion-v1-5/stable-diffusion-v1-5"
pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")

pipe.to("cpu")# If you have GPU access; otherwise, use "cpu"



# Define Gradio interface
def generate_image(prompt):
    images = pipe(prompt).images
    return images[0]


# Create Gradio UI
iface = gr.Interface(
    fn=generate_image,
    inputs="text",
    outputs="image",
    title="Stable Diffusion Generator",
    description="Enter a text prompt to generate an image",
)

# Launch the interface
iface.launch()