Update app.py

app.py

@@ -12,16 +12,16 @@ client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 model_path = "liuhaotian/llava-v1.6-mistral-7b"
 model_name = get_model_name_from_path(model_path)
-# tokenizer = AutoTokenizer.from_pretrained(model_path)
-# model = LlavaMistralForCausalLM.from_pretrained(
-#                     model_path,
-#                     low_cpu_mem_usage=True,
-#                     # offload_folder="/content/sample_data"
-#                 )
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = LlavaMistralForCausalLM.from_pretrained(
+                    model_path,
+                    low_cpu_mem_usage=True,
+                    # offload_folder="/content/sample_data"
+                )
 
-tokenizer, model, image_processor, context_len = load_pretrained_model(
-        model_path, None, model_name
-    )
+# tokenizer, model, image_processor, context_len = load_pretrained_model(
+#         model_path, None, model_name
+#     )
 
 
 def respond(