Update app.py

app.py

@@ -16,7 +16,7 @@ model = pipeline("image-feature-extraction", model="nomic-ai/nomic-embed-vision-
 # Function to generate embeddings from an image
 def generate_embedding(image):
     if image is None:
-        return None
+        return None, "No image provided"
     
     # Convert to PIL Image if needed
     if not isinstance(image, Image.Image):
@@ -47,14 +47,14 @@ def generate_embedding(image):
                     embedding_list = list(result)
                 else:
                     print("Result is None")
-                    return None
+                    return None, "Failed to generate embedding"
             except:
                 print(f"Couldn't convert result of type {type(result)} to list")
-                return None
+                return None, "Failed to process embedding"
         
         # Ensure we have a valid embedding list
         if embedding_list is None:
-            return None
+            return None, "Failed to generate embedding"
             
         # Calculate embedding dimension
         embedding_dim = len(embedding_list)
@@ -62,10 +62,10 @@ def generate_embedding(image):
         return {
             "embedding": embedding_list,
             "dimension": embedding_dim
-        }
+        }, f"Dimension: {embedding_dim}"
     except Exception as e:
         print(f"Error generating embedding: {str(e)}")
-        return None
+        return None, f"Error: {str(e)}"
 
 # Function to generate embeddings from an image URL
 def embed_image_from_url(image_url):