Update app.py

app.py

@@ -3,26 +3,9 @@ import streamlit as st
 st.title("custom chatbot with HF model")
 
 
-
-from transformers import AutoModelForCausalLM, AutoTokenizer
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-
-
-
-model_name = "facebook/blenderbot-400M-distill"
-model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-
 def get_response(input_text):
 
-    # Tokenize the input text and history
-    inputs = tokenizer.encode_plus(input_text, return_tensors="pt")
-
-    # Generate the response from the model
-    outputs = model.generate(**inputs)
-
-    # Decode the response
-    response = tokenizer.decode(outputs[0], skip_special_tokens=True).strip()
+    response = f"this is response for {input_text}"
 
     return response