app.py

from diffusers import StableDiffusionPipeline
import torch
import gradio as gr

# Load the model on CPU
model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(model_id)

# Move the pipeline to CPU
pipe = pipe.to("cpu")

def generate_image(prompt):
    image = pipe(prompt).images[0]
    return image

# Define the chatbot function
def chatbot(prompt):
    image = generate_image(prompt)
    return image

# Create the Gradio interface
interface = gr.Interface(
    fn=chatbot,
    inputs="text",
    outputs="image",
    title="Text to Image Chatbot",
    description="Generate images from text using Stable Diffusion"
)

# Launch the interface
interface.launch()