Update app.py

app.py

@@ -2,13 +2,13 @@ import streamlit as st
 import requests
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-# Load the Llama 3.2 model and tokenizer
-model_name = "your-llama-3-2-model"  # Replace with the correct model path in Hugging Face Hub
+# Load the Llama model and tokenizer (replace with actual model name in Hugging Face Model Hub)
+model_name = "meta-llama/Llama-3.2"  # Adjust to the actual model path if needed
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)
 
 def search_api_call(query: str):
-    api_key = '614e992d87c496fb15a81a2039e00e6a42530f5c'  # Replace with your actual API key
+    api_key = '614e992d87c496fb15a81a2039e00e6a42530f5c'  # Replace with your actual Serper.dev API key
     url = f"https://api.serper.dev/search?api_key={api_key}&q={query}"
     
     try:
@@ -50,7 +50,7 @@ if st.button("Submit"):
                 combined_response = llm_response  # Fallback to the original LLM response
         else:
             combined_response = llm_response
-        
+            
         st.markdown("### Response:")
         st.markdown(combined_response)