app.py

import gradio as gr
from transformers import pipeline

# Load the Stable Diffusion TTS model
tts_demo = gr.Interface.load(
    "models/runwayml/stable-diffusion-v1-5",
    title=None,
    description="Give me something to paint!"
)

# Load the text-to-image prompt generator model
stt_demo = gr.Interface.load(
    "models/succinctly/text2image-prompt-generator",
    title=None,
    description="Let me try to guess what you're saying!"
)

# Load the image classification model
image_classification = pipeline("image-classification")

# Create the tabbed interface
demo = gr.TabbedInterface([tts_demo, stt_demo, gr.Interface.from_pipeline(image_classification)], ["Paint", "Text", "Image"])


# Launch the interface
demo.launch()