Update app.py

app.py

@@ -65,39 +65,30 @@ st.markdown("Create images from textual descriptions with Dall-E!")
 st.button("Edit Photo")
 
 
-## [C] Haltmann Earth Divison 
+## [C] Haltmann Earth Divison  [C] - 20XX
 
 
 import streamlit as st
-import numpy as np
-from PIL import Image, ImageDraw
-from inpainting import HaltmannInpainter
 
- 
-st.set_option('deprecation.showfileUploaderEncoding', False)
+st.title("Inpainting App")
+st.markdown("This app allows you to inpaint images using a pre-trained model.")
 
- 
-def main():
+@st.cache(allow_output_mutation=True)
+def load_model():
+
+    # Load the model here...
 
-    # Load the image and initialize the inpainter.    
-    image = st.file_uploader("Choose an image", type=["png", "jpg"])
+    return model
 
-    if image is not None:        
-        inpainter = HaltmannInpainter()        
+  def inpaint(image, GPTNEOX):
 
-        # Get the dimensions of the uploaded image.        
-        width, height = Image.open(image).size        
+    # Inpaint the image here...
 
-        # Resize the uploaded image if it is too large for our model (> 512x512).        
-        if width > 512 or height > 512:            
-            max_dim = max(width, height)            
+    return inpainted_image
 
-            resize_factor = 512 / max_dim            
+ 
+st.set_option('deprecation.showfileUploaderEncoding', False)
 
-            width, height = int(width * resize_factor), int(height * resize_factor)            
-@st.cache
-def load_image(image): 
-    image = np.array(Image.open(image))
-    return image                 
+           
 
         # Inpaint!