app.py

import streamlit as st
from transformers import pipeline

sentiment = pipeline("sentiment-analysis")
text_generator = pipeline("text-generation")

st.title("Sentiment Analysis and Text Generation")

# For sentiment analysis
sentiment_text = st.text_area("Enter some text for sentiment analysis:")
if sentiment_text:
    sentiment_result = sentiment(sentiment_text)
    st.write(sentiment_result)

# For text generation
generator_text = st.text_area("Enter prompt for text generation:")
if generator_text:
    generation_result = text_generator(generator_text, max_length=50)
    st.write(generation_result)