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app.py

@@ -4,7 +4,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
 from peft import PeftModel
 import torch
 
-BASE_MODEL = "unsloth/Llama-3.2-3B-Instruct-bnb-4bit" ###TinyLlama/TinyLlama-1.1B-Chat-v1.0
+BASE_MODEL = "TinyLlama/TinyLlama-1.1B-Chat-v1.0" ###TinyLlama/TinyLlama-1.1B-Chat-v1.0 #unsloth/Llama-3.2-3B-Instruct-bnb-4bit
 ADAPTER    = "Parth03034/finbot-lora-adapter"
 
 print("Loading tokenizer...")
@@ -54,7 +54,7 @@ def ask_finbot(message, history):
 demo = gr.ChatInterface(
     fn          = ask_finbot,
     title       = "🤖 FinBot — Indian Finance Assistant",
-    description = "SIP, CIBIL, Nifty, Tax — kuch bhi poochho!",
+    description = "SIP, CIBIL, Nifty, Tax — I am here to help you!",
     examples    = ["Tell me about SIP?", "How to improve CIBIL Score?", "Explain NIFTY 50?"],
 )