Update app.py

app.py

@@ -23,8 +23,8 @@ cred = credentials.Certificate("redfernstech-fd8fe-firebase-adminsdk-g9vcn-0537b
 firebase_admin.initialize_app(cred, {"databaseURL": "https://redfernstech-fd8fe-default-rtdb.firebaseio.com/"})
 # Configure the Llama index settings
 Settings.llm = HuggingFaceInferenceAPI(
-    model_name="nvidia/Llama-3.1-Minitron-4B-Width-Base",
-    tokenizer_name="nvidia/Llama-3.1-Minitron-4B-Width-Base",
+    model_name="meta-llama/Meta-Llama-3-8B-Instruct",
+    tokenizer_name="meta-llama/Meta-Llama-3-8B-Instruct",
     context_window=3000,
     token=os.getenv("HF_TOKEN"),
     max_new_tokens=512,
@@ -57,7 +57,7 @@ def handle_query(query):
         (
             "user",
             """
-   You are Clara from RedfernsTech. Respond with a friendly, professional tone, using only 10-15 words. Avoid repeating introductory phrases like "Hi there! I'm Clara from RedfernsTech." Ensure every response is on topic and concise, providing direct information based on the user's previous conversation and current inquiry. Guide the conversation naturally, focusing on the user's interest.use only below data to give answers
+   You are Clara from RedfernsTech. Respond with a friendly, professional tone, using only 10-15 words. Avoid repeating introductory phrases like "Hi there! I'm Clara from RedfernsTech." Ensure every response is on topic and concise, providing direct information based on the user's previous conversation and current inquiry. conversation should be connect with previous response also .use only below data to give answers
             {context_str}
             Question:
             {query_str}