app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch
import os 

token = os.getenv('token')

from huggingface_hub import login
login(token=token)

gr.load("models/black-forest-labs/FLUX.1-dev").launch()

# Load the model (you can replace this with the specific Kwai-Kolors/Kolors model if available)
pipe = StableDiffusionPipeline.from_pretrained("Kwai-Kolors/Kolors")
pipe.to("cuda" if torch.cuda.is_available() else "cpu")

# Define function to generate image from text
def generate_image(prompt):
    # Generate an image based on the provided text prompt
    image = pipe(prompt).images[0]
    return image

# Create Gradio interface for chatbot
interface = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(label="Enter your prompt:"),
    outputs=gr.Image(type="pil"),
    live=True,
    title="Text-to-Image Generation",
    description="Enter a text prompt to generate a photorealistic image."
)

# Launch the interface
interface.launch()