app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch
from transformers import pipeline

# 🎨 Load Stable Diffusion model
pipe = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0")
pipe.to("cpu")

# 🗣️ Load Text-to-Speech model
tts = pipeline("text-to-speech", model="nineninesix/kani-tts-370m")

# Image generation function
def generate_media(prompt):
    image = pipe(prompt).images[0]
    audio = tts(prompt)
    return image, (audio["audio"],)

# Gradio UI
demo = gr.Interface(
    fn=generate_media,
    inputs=gr.Textbox(label="Enter your prompt"),
    outputs=[gr.Image(label="Generated Image"), gr.Audio(label="AI Voice")],
    title="AI Image + Voice Generator",
    description="Generates an image with a matching AI voiceover using Stable Diffusion XL and KaniTTS"
)

demo.launch()