app.py

import streamlit as st
from transformers import pipeline

# Set up the sentiment analysis pipeline
pipe = pipeline("sentiment-analysis")

# Create a header for the app
st.set_page_config(page_title="Sentiment Analysis", page_icon=":chart_with_upwards_trend:", layout="wide")
st.title("Sentiment Analysis for Text")

# Add a text area for user input
text = st.text_area("Enter your text:", height=150)

# Add a button for processing the input
if st.button("Check Sentiment", key="check_button"):
    if text:
        with st.spinner('Analyzing...'):
            out = pipe(text)
        st.json(out)
    else:
        st.error("Please add text before checking sentiment!")

# Add some additional styling
st.markdown(
    """
    <style>
    .stTextInput>div>div>input {
        border: 2px solid #007BFF;
        border-radius: 8px;
        padding: 10px;
        font-size: 16px;
    }
    .stButton>button {
        background-color: #007BFF;
        color: white;
        border-radius: 8px;
        padding: 10px;
        font-size: 16px;
        border: none;
    }
    .stButton>button:hover {
        background-color: #0056b3;
    }
    </style>
    """, unsafe_allow_html=True
)