Update app.py (#4)

- Update app.py (8bf8e951b839aa33e382731d53443b73b02eb075)

app.py

@@ -32,7 +32,7 @@ def fetch_manifest(image, tag):
 
 def upload_to_huggingface(repo_id, folder_path):
     api = HfApi(token=HF_TOKEN)
-    repo_path = create_repo(repo_id, "model")
+    repo_path = api.create_repo(repo_id, "model", exist_ok=True,)
     print(f"Repo created {repo_path}")
     try:
         api.upload_folder(
@@ -46,51 +46,54 @@ def upload_to_huggingface(repo_id, folder_path):
 
 def process_image_tag(image_tag, repo_id):
     # Extract image and tag from the input
-    image, tag = image_tag.split(':')
-
-    # Fetch the manifest JSON
-    manifest_json = fetch_manifest(image, tag)
-    if not manifest_json or 'errors' in manifest_json:
-        return f"Failed to fetch the manifest for {image}:{tag}"
-
-    # Save the manifest JSON to the blobs folder
-    manifest_file_path = "blobs/manifest.json"
-    os.makedirs(os.path.dirname(manifest_file_path), exist_ok=True)
-    with open(manifest_file_path, 'w') as f:
-        json.dump(manifest_json, f)
-
-    # Extract the digest values from the JSON
-    digests = [layer['digest'] for layer in manifest_json.get('layers', [])]
-
-    # Download each file
-    for digest in digests:
-        download_file(digest, image)
-
-    # Download the config file
-    config_digest = manifest_json.get('config', {}).get('digest')
-    if config_digest:
-        download_file(config_digest, image)
-
-    # Upload to Hugging Face Hub
-    upload_result = upload_to_huggingface(repo_id, 'blobs/*')
-
-    # Delete the blobs folder
     try:
+        image, tag = image_tag.split(':')
+    
+        # Fetch the manifest JSON
+        manifest_json = fetch_manifest(image, tag)
+        if not manifest_json or 'errors' in manifest_json:
+            return f"Failed to fetch the manifest for {image}:{tag}"
+    
+        # Save the manifest JSON to the blobs folder
+        manifest_file_path = "blobs/manifest.json"
+        os.makedirs(os.path.dirname(manifest_file_path), exist_ok=True)
+        with open(manifest_file_path, 'w') as f:
+            json.dump(manifest_json, f)
+    
+        # Extract the digest values from the JSON
+        digests = [layer['digest'] for layer in manifest_json.get('layers', [])]
+    
+        # Download each file
+        for digest in digests:
+            download_file(digest, image)
+    
+        # Download the config file
+        config_digest = manifest_json.get('config', {}).get('digest')
+        if config_digest:
+            download_file(config_digest, image)
+    
+        # Upload to Hugging Face Hub
+        upload_result = upload_to_huggingface(repo_id, 'blobs/*')
+    
+        # Delete the blobs folder
+    
         os.rmtree('blobs')
         return f"Successfully fetched and downloaded files for {image}:{tag}\n{upload_result}\nBlobs folder deleted"
     except Exception as e:
-        return f"Failed to delete blobs folder: {str(e)}"
+        os.rmtree('blobs')
+        return f"Error found: {str(e)}"
 
 # Create the Gradio interface
 iface = gr.Interface(
     fn=process_image_tag,
     inputs=[
-        gr.Textbox(placeholder="Enter image:tag", label="Image and Tag"),
-        gr.Textbox(placeholder="Enter Hugging Face repo ID", label="Hugging Face Repo ID")
+        gr.Textbox(placeholder="Enter Ollama ID", label="Image and Tag"),
+        gr.Textbox(placeholder="Enter Hugging Face repo ID", label="Hugging Face Repo ID"),
+    )
     ],
     outputs=gr.Textbox(label="Result"),
-    title="Registry File Downloader and Uploader",
-    description="Enter the image and tag to download the corresponding files from the registry and upload them to the Hugging Face Hub."
+    title="Ollama <> HF Hub 🤝",
+    description="Enter the image and tag to download the corresponding files from the Ollama registry and upload them to the Hugging Face Hub."
 )
 
 # Launch the Gradio app