delete app.py

app.py

@@ -1,29 +0,0 @@
-import streamlit as st
-from diffusers import StableDiffusionPipeline
-import torch
-
-# Load the model
-@st.cache_resource
-def load_model():
-    model_id = "CompVis/stable-diffusion-v1-4"
-    pipe = StableDiffusionPipeline.from_pretrained(model_id)
-    pipe = pipe.to("cpu")  # Ensure the model runs on CPU
-    return pipe
-
-pipe = load_model()
-
-# Streamlit UI
-st.title("Text-to-Image Generator")
-st.write("Enter a description, and the AI model will generate an image!")
-
-# User input
-text_input = st.text_input("Enter your description:")
-
-# Generate and display image
-if text_input:
-    with st.spinner("Generating image... Please wait ⏳"):
-        try:
-            image = pipe(text_input).images[0]  # Generate image
-            st.image(image, caption="Generated Image", use_column_width=True)
-        except Exception as e:
-            st.error(f"Error generating image: {e}")