Delete demotwotext.py

demotwotext.py

@@ -1,27 +0,0 @@
-import streamlit as st
-from diffusers import DiffusionPipeline
-import base64
-import io
-
-# Load the pre-trained model
-pipeline = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-512x512", use_safetensors=True)
-
-# Create a Streamlit interface
-st.title("Image Generation Model")
-st.write("Enter a prompt for the image generation model:")
-
-# Generate the image
-prompt = st.text_input("Prompt", label_visibility="collapsed")
-if st.button("Generate Image"):
-    with st.spinner("Generating image..."):
-        # Generate the image
-        image = pipeline(prompt, num_inference_steps=20).images[0]
-
-        # Convert the image to bytes
-        buf = io.BytesIO()
-        image.save(buf, format='JPEG')
-        img_bytes = buf.getvalue()
-
-        # Display the generated image
-        st.write("Generated image:")
-        st.image(img_bytes, caption="Generated image", use_column_width=True)