Update app.py

app.py

@@ -6,7 +6,7 @@ from typing import List
 from datetime import datetime, timezone
 from pydantic import BaseModel, Field
 from trafilatura import fetch_url, extract
-from langchain import HuggingFaceHub
+from langchain_community.llms import HuggingFaceHub
 
 from llama_cpp_agent import MessagesFormatterType
 from llama_cpp_agent.chat_history import BasicChatHistory
@@ -17,7 +17,7 @@ from llama_cpp_agent.llm_output_settings import (
 )
 from llama_cpp_agent.tools import WebSearchTool
 from llama_cpp_agent.prompt_templates import web_search_system_prompt, research_system_prompt
-from langchain import HuggingFaceHub
+from langchain_community.llms import HuggingFaceHub
 from llama_cpp_agent.llm_output_settings import LlmStructuredOutputSettings, LlmStructuredOutputType
 from llama_cpp_agent.llm_output_settings import LlmStructuredOutputType
 
@@ -110,15 +110,27 @@ class HuggingFaceHubWrapper:
 
     def get_provider_default_settings(self):
         return LlmStructuredOutputSettings(
-            output_type=LlmStructuredOutputType.no_structured_output,  # Changed to a valid option
+            output_type=LlmStructuredOutputType.no_structured_output,
             include_system_prompt=False,
             include_user_prompt=False,
             include_assistant_prompt=False,
         )
 
+    def get_provider_identifier(self):
+        return "HuggingFaceHub"
+
     def __call__(self, *args, **kwargs):
         return self.model(*args, **kwargs)
 
+    # Add any other methods that might be required by WebSearchTool
+    def get_num_tokens(self, text):
+        # This is a placeholder. You might need to implement a proper token counting method
+        return len(text.split())
+
+    def get_max_tokens(self):
+        # This is a placeholder. Return the actual max tokens for your model
+        return 2048
+
 # Utility functions
 def get_server_time():
     utc_time = datetime.now(timezone.utc)