Delete app.py

app.py

@@ -1,31 +0,0 @@
-import streamlit as st
-from diffusers import StableDiffusionPipeline
-from PIL import Image
-import torch
-
-# Function to load the model
-@st.cache(allow_output_mutation=True)
-def load_model():
-    # Replace 'your_token_here' with your actual Hugging Face token
-    YOUR_TOKEN = ""
-    pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", use_auth_token=YOUR_TOKEN)
-    return pipe
-
-# Load the model
-pipe = load_model()
-
-# Streamlit interface
-st.title("Text-to-Image Generation with Stable Diffusion")
-
-# Text input for the prompt
-prompt = st.text_input("Enter your prompt:")
-
-# Generate button
-if st.button("Generate Image"):
-    with st.spinner('Generating image...'):
-        # Generate image
-        image = pipe(prompt).images[0]
-
-        # Convert to PIL Image to display
-        img = Image.fromarray(image)
-        st.image(img, caption="Generated Image")