Updates

app.py

@@ -37,6 +37,7 @@ def patch_tqdm_for_gradio(progress):
 
         def update(self, n=1):
             super().update(n)
+            # Update Gradio progress bar every update_interval steps
             if self.n % self.update_interval == 0 or self.n == self.total_batches:
                 self.progress(self.n / self.total_batches)
 
@@ -44,7 +45,7 @@ def patch_tqdm_for_gradio(progress):
 
 def patch_model2vec_tqdm(progress):
     patched_tqdm = patch_tqdm_for_gradio(progress)
-    model2vec.tqdm = patched_tqdm  # Replace tqdm in the StaticModel's module
+    model2vec.tqdm = patched_tqdm  # Replace tqdm in model2vec
 
 # Function to patch the original encode function with our Gradio tqdm
 def original_encode_with_tqdm(original_encode_func, patched_tqdm):
@@ -160,7 +161,11 @@ def perform_deduplication(
             #model.encode = original_encode_with_tqdm(model.encode, patched_tqdm)
             # Compute embeddings
             status = "Computing embeddings for Dataset 1..."
+            
+            # Remove?
             yield status, ""
+            
+            
             embedding_matrix = model.encode(texts, show_progressbar=True)
             # embedding_matrix = compute_embeddings(
             #     texts,