Update app.py

app.py

@@ -343,7 +343,7 @@ import gradio as gr
 #print(torch.cuda.is_available())  # Check if a GPU is available
 #a = torch.Tensor([1]).cuda()  # Should succeed without errors
 #print(a)
-
+'''
 # Define HuggingFace LLM
 def create_llm():
     model_name = "Qwen/Qwen2.5-7B-Instruct-1M"
@@ -447,6 +447,7 @@ def gradio_interface(visitor_name, visitor_mobile, doctor_name, department_name)
     # Execute workflow
     result = compiled_graph.invoke(state.dict())
     return result["messages"][0]
+    '''
 
 iface = gr.Interface(
     fn=gradio_interface,
@@ -460,7 +461,7 @@ iface = gr.Interface(
 )
 
 if __name__ == "__main__":
-    iface.launch(share=True)
+    iface.launch()