working llama

model.py

@@ -117,7 +117,7 @@ class Model:
         
         if provider == LLMProvider.HUGGINGFACE_LLAMA:
             llm = HuggingFaceEndpoint(
-            repo_id="meta-llama/Llama-2-7b-chat-hf",
+            repo_id="meta-llama/Llama-3.3-70B-Instruct",
             huggingfacehub_api_token=api_token,
             temperature=0
         )
@@ -130,16 +130,7 @@ class Model:
                 model="gemini-2.5-flash",
                 temperature=0
             )
-            # search = GoogleSearchAPIWrapper()
-
-            # # Define the Google Search tool correctly
-            # google_search_tool = Tool(
-            #     name="Google Search",
-            #     description="Search Google for recent information.",
-            #     func=search.run, # Use the run method to execute the search directly
-            # )
-
-            # tools.append(google_search_tool)
+            
             return chat.bind_tools(tools)
     
         else:
@@ -211,7 +202,7 @@ def main():
     load_dotenv(find_dotenv())
     csv = CSVSCache()
     df = csv.get_all_entries()
-    model = Model(LLMProvider.HUGGINGFACE)
+    model = Model(LLMProvider.HUGGINGFACE_LLAMA)
     #update_mode(model)
     test_questions = [0, 6, 10, 12, 15]
     for row in test_questions: