Update app.py

app.py

@@ -1,4 +1,4 @@
-'''
+
 import gradio as gr
 from huggingface_hub import InferenceClient
 
@@ -64,7 +64,7 @@ demo = gr.ChatInterface(
 if __name__ == "__main__":
     demo.launch()
 
-
+'''
 
 import gradio as gr
 from langchain.chains import LLMChain
@@ -329,7 +329,9 @@ try:
     print(f"[TRACE] Workflow Result: {result}")  # Final workflow result
 except Exception as e:
     print(f"[ERROR] Workflow execution failed: {e}")
-'''
+
+
+
 from typing import Dict
 from pydantic import BaseModel
 from langgraph.graph import StateGraph, END
@@ -343,7 +345,7 @@ 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"
@@ -447,7 +449,6 @@ 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,
@@ -463,5 +464,5 @@ iface = gr.Interface(
 if __name__ == "__main__":
     iface.launch()
 
-
+'''