updated app.py

app.py

@@ -4,12 +4,12 @@ import torch
 
 
 # Load the model for inference
-model = AutoModelForSeq2SeqLM.from_pretrained('SantiagoPG/chatbot_customer_service')
+model1 = AutoModelForSeq2SeqLM.from_pretrained('SantiagoPG/chatbot_customer_service')
 tokenizer = AutoTokenizer.from_pretrained("Kaludi/Customer-Support-Assistant-V2")
 
 def get_chatbot_response(message):
     inputs = tokenizer.encode(message, return_tensors='pt')
-    reply_ids = model.generate(inputs)
+    reply_ids = model1.generate(inputs)
     return tokenizer.decode(reply_ids[0], skip_special_tokens=True)
 
 # Streamlit interface