Update app.py

app.py

@@ -110,7 +110,9 @@ def run(bucket_folder, person_name, req_id):
     for _ in range(n_samples):
         img = pipeline.inference(prompt, (1, H, W), neg_prompt, id_embeddings, id_scale, scale, steps)[0]
         ims.append(np.array(img))
-
+    print('IMS is ', ims)
+    print('Length of ims is ',len(ims))
+    
     file_paths = []
     for i, img in enumerate(ims):
         if isinstance(img, torch.Tensor):
@@ -121,6 +123,7 @@ def run(bucket_folder, person_name, req_id):
         temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".png")
         img.save(temp_file.name)
         file_paths.append(temp_file.name)
+    print('File paths are ',file_paths)
 
     # Upload images to S3
     OUTPUT_BUCKET_FOLDER = os.path.join(os.path.dirname(os.path.dirname(bucket_folder)), 'output') #'user_id/request_id/output/'