Update app.py

app.py

@@ -2,20 +2,19 @@ import os
 import requests
 from tqdm import tqdm
 import logging
+import gradio as gr
 
-def download_sam_model(url="https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth", 
-                      save_dir="."):
+def download_sam_model():
     """
-    Download the SAM model weights to the root directory with progress tracking.
-    
-    Args:
-        url (str): URL of the model weights
-        save_dir (str): Directory to save the downloaded file (defaults to current directory)
+    Download the SAM model weights to the Hugging Face Space repository root
     """
+    url = "https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth"
+    
     try:
-        # Extract filename from URL
+        # Get the repository root directory (same level as app.py)
+        root_dir = os.path.dirname(os.path.abspath(__file__))
         filename = url.split('/')[-1]
-        save_path = os.path.join(save_dir, filename)
+        save_path = os.path.join(root_dir, filename)
         
         # Setup logging
         logging.basicConfig(level=logging.INFO)
@@ -23,15 +22,14 @@ def download_sam_model(url="https://dl.fbaipublicfiles.com/segment_anything/sam_
         
         # Check if file already exists
         if os.path.exists(save_path):
-            logger.info(f"File {filename} already exists in {save_dir}")
-            return save_path
+            return gr.Info("Model file already exists in the repository root")
             
-        # Send a HEAD request to get the file size
+        # Send a HEAD request to get file size
         response = requests.head(url)
         file_size = int(response.headers.get('content-length', 0))
         
         # Download the file with progress bar
-        logger.info(f"Downloading {filename} to root directory")
+        logger.info(f"Downloading {filename} to Space repository root")
         response = requests.get(url, stream=True)
         progress = tqdm(total=file_size, unit='iB', unit_scale=True)
         
@@ -43,21 +41,19 @@ def download_sam_model(url="https://dl.fbaipublicfiles.com/segment_anything/sam_
         progress.close()
         
         if file_size != 0 and progress.n != file_size:
-            logger.error("Error during download - incomplete file")
             raise Exception("Downloaded file size does not match expected size")
             
-        logger.info(f"Successfully downloaded {filename}")
-        return save_path
+        return gr.Info("Model downloaded successfully!")
         
     except Exception as e:
         logger.error(f"Error downloading file: {str(e)}")
-        raise
-        
+        return gr.Error(f"Failed to download model: {str(e)}")
+
+# Create a simple Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Download SAM Model")
+    download_button = gr.Button("Download Model")
+    download_button.click(fn=download_sam_model)
+
 if __name__ == "__main__":
-    MODEL_URL = "https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth"
-    
-    try:
-        downloaded_path = download_sam_model(MODEL_URL)
-        print(f"Model downloaded successfully to: {downloaded_path}")
-    except Exception as e:
-        print(f"Failed to download model: {str(e)}")
+    demo.launch()