Update app.py

app.py

@@ -273,17 +273,15 @@ device = "cuda:0" if torch.cuda.is_available() else "cpu"
 # from clip_retrieval.load_clip import load_clip, get_tokenizer 
 # model, preprocess = load_clip(clip_model, use_jit=True, device=device)
 # tokenizer = get_tokenizer(clip_model)
-model, preprocess, tokenizer = None, None, None
-
-clip_retrieval_client = ClipClient(
-    url=clip_retrieval_service_url, 
-    indice_name=clip_model_id,
-    use_safety_model = False,
-    use_violence_detector = False,
-    # modality = Modality.TEXT,
-    )
-# results = clip_retrieval_client.query(text="an image of a cat")
-# results[0]
+# clip_retrieval_client = ClipClient(
+#     url=clip_retrieval_service_url, 
+#     indice_name=clip_model_id,
+#     use_safety_model = False,
+#     use_violence_detector = False,
+#     # modality = Modality.TEXT,
+#     )
+model, preprocess, tokenizer, clip_retrieval_client = None, None, None, None
+
 
 examples = [
     # ["SohoJoeEth.jpeg", "Ray-Liotta-Goodfellas.jpg", "SohoJoeEth + Ray.jpeg"],