Create app.py

app.py

@@ -0,0 +1,27 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the sentiment analysis model
+sentiment_analysis = pipeline("sentiment-analysis")
+
+# Load the chatbot model
+chatbot = pipeline("conversational")
+
+# Define a function to generate responses from the chatbot
+def generate_response(input_text):
+    # Get the sentiment of the input
+    sentiment = sentiment_analysis(input_text)[0]['label']
+    # Generate a response from the chatbot using the sentiment as context
+    response = chatbot(input_text, context=sentiment)[0]['generated_text']
+    return response
+
+# Create a title for the app
+st.title("Sentiment-Aware Chatbot")
+
+# Create a text input for the user to enter their message
+user_input = st.text_input("Enter your message:")
+
+# When the user submits their message, generate a response from the chatbot and display it
+if st.button("Submit"):
+    response = generate_response(user_input)
+    st.write("Chatbot:", response)