Update app.py

app.py

@@ -65,7 +65,7 @@ with st.container():
         #chat_response = demo_chat.demo_chain(input_text=input_text, memory=st.session_state.memory, model= chat_model)
         #first_answer = chat_response.split("Human")[0] #Because of Predict it prints the whole conversation.Here we seperate the first answer only.
         tokenized_chat = tokenizer.apply_chat_template(st.session_state.chat_history, tokenize=True, add_generation_prompt=True, return_tensors="pt")
-        st.write(tokenizer.decode(tokenized_chat[0]))
+        #st.write(tokenizer.decode(tokenized_chat[0]))
         outputs = model.generate(tokenized_chat, max_new_tokens=128) 
         first_answer = tokenizer.decode(outputs[0],skip_special_tokens=True)