Create app.py

app.py

@@ -0,0 +1,23 @@
+import streamlit as st
+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()
+
+    return response
+
+answer = get_response("is apple a fruit?")
+st.write(answer)