Update app.py

app.py

@@ -1051,35 +1051,35 @@ REMEMBER: One tool per turn. No reasoning without tools. Exact answer format.
 """
 
         #. Initialize the LLM ()
-#        print("Initializing Groq LLM...")   
-#        try:
-#            self.llm_with_tools = ChatGroq(
-#                temperature=0,
-#                groq_api_key=GROQ_API_KEY,
-#                model_name="llama-3.1-8b-instant",
-#                max_tokens=4096,
-#                timeout=60
-#                ).bind_tools(self.tools, tool_choice="auto")  
-#            print("✅ LLM initialized without FORCED tool usage.")
-#
-#        except Exception as e:
-#            print(f"❌ Error initializing HuggingFace: {e}")
-#            raise
-#        print("Initializing LLM Endpoint...")
-        print("Initializing HuggingFace LLM...")
-        
-        llm = HuggingFaceEndpoint(
-            repo_id="mistralai/Mixtral-8x7B-Instruct-v0.1",  # Free on HF Inference API
-            huggingfacehub_api_token=HUGGINGFACEHUB_API_TOKEN,
-            max_new_tokens=4096,
-            temperature=0.01,
-        )
-        chat_llm = ChatHuggingFace(llm=llm)
-        print("✅ HuggingFace LLM Endpoint initialized.")
-        
-        # Bind tools to the LLM
-        self.llm_with_tools = chat_llm.bind_tools(self.tools)
-        print("✅ Tools bound to LLM.")
+        print("Initializing Groq LLM...")   
+        try:
+            self.llm_with_tools = ChatGroq(
+                temperature=0,
+                groq_api_key=GROQ_API_KEY,
+                model_name="llama-3.1-8b-instant",
+                max_tokens=4096,
+                timeout=60
+                ).bind_tools(self.tools, tool_choice="auto")  
+            print("✅ LLM initialized without FORCED tool usage.")
+
+        except Exception as e:
+            print(f"❌ Error initializing HuggingFace: {e}")
+            raise
+        print("Initializing LLM Endpoint...")
+#        print("Initializing HuggingFace LLM...")
+#        
+#        llm = HuggingFaceEndpoint(
+#            repo_id="mistralai/Mixtral-8x7B-Instruct-v0.1",  # Free on HF Inference API
+#            huggingfacehub_api_token=HUGGINGFACEHUB_API_TOKEN,
+#           max_new_tokens=4096,
+#            temperature=0.01,
+#        )
+#        chat_llm = ChatHuggingFace(llm=llm)
+#        print("✅ HuggingFace LLM Endpoint initialized.")
+#        
+#        # Bind tools to the LLM
+#        self.llm_with_tools = chat_llm.bind_tools(self.tools)
+#        print("✅ Tools bound to LLM.")
 #        print("Initializing Google Gemini LLM...")
 #        try:
 #            self.llm_with_tools = ChatGoogleGenerativeAI(