Create app.py

app.py

@@ -0,0 +1,26 @@
+import streamlit as st
+from transformers import pipeline
+chatbot = pipeline(task="text2text-generation", model="facebook/blenderbot-400M-distill")
+
+st.title("Assistant pro")
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+    # Add a welcome message
+    welcome_message = "Welcome to the chat! How can I assist you today?"
+    st.session_state.messages.append({"role": "bot", "content": welcome_message})
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+if prompt := st.chat_input("What is up?"):
+
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    response = chatbot(prompt)[0]['generated_text']
+  
+    with st.chat_message("bot"):
+        st.markdown(response)
+    st.session_state.messages.append({"role": "bot", "content": response})