Update app.py

app.py

@@ -109,7 +109,9 @@ class Pipeline:
         text = ""
         with torch.autocast(self.device):
             for start, stop, frames in iter_clips(video_path):
-                text += f"{'-'*30} Predictions From: {start:2.3f}-{stop:2.3f} seconds {'-'*30}\n"
+                text_to_add = f"{'-'*30} Predictions From: {start:2.3f}-{stop:2.3f} seconds {'-'*30}\n"
+                print(text_to_add)
+                text += text_to_add
                 frames = self.val_transform(frames).unsqueeze(0)
                 if self.device == 'cuda':
                     frames = frames.to(self.device).half()
@@ -129,7 +131,9 @@ class Pipeline:
                     )
                 for i in range(num_return_sequences):
                     generated_text_str = self.decode_one(generated_text_ids[i], self.tokenizer)
-                    text += '\t{}: {}\n'.format(i, generated_text_str)
+                    text_to_add = '\t{}: {}\n'.format(i, generated_text_str)
+                    print(text_to_add)
+                    text += text_to_add
         return text
 
 interface = gr.Interface(