tool debug

app.py

@@ -59,19 +59,6 @@ llm = HuggingFaceEndpoint(
 
 model = ChatHuggingFace(llm=llm, verbose=True)
 
-"""
-def predict(message, history):
-    history_langchain_format = []
-    for msg in history:
-        if msg['role'] == "user":
-            history_langchain_format.append(HumanMessage(content=msg['content']))
-        elif msg['role'] == "assistant":
-            history_langchain_format.append(AIMessage(content=msg['content']))
-    history_langchain_format.append(HumanMessage(content=message))
-    gpt_response = model.invoke(history_langchain_format)
-    return gpt_response.content
-"""
-
 def predict(message, history):
     # Convert Gradio history to LangChain message format
     history_langchain_format = []
@@ -100,7 +87,7 @@ guest_info_tool = Tool(
     func=extract_text,
     description="Retrieves detailed information about gala guests based on their name or relation."
 )
-
+"""
 search_tool = DuckDuckGoSearchRun()
 
 def get_weather_info(location: str) -> str:
@@ -143,7 +130,7 @@ hub_stats_tool = Tool(
     func=get_hub_stats,
     description="Fetches the most downloaded model from a specific author on the Hugging Face Hub."
 )
-
+"""
 #tools = [guest_info_tool, search_tool, weather_info_tool, hub_stats_tool]
 tools = [guest_info_tool]
 chat_with_tools = model.bind_tools(tools)