app.py

import streamlit as st
from transformers import pipeline

# Define the sentiment analysis pipeline
pipe = pipeline('sentiment-analysis')

st.title("Plataforma de Diálogos Participativos")

# Split the page into two columns. The first column will occupy 1/4 of the page width and the second column 3/4.
col1, col2 = st.beta_columns([1,3])

with col1:
    # Text area for input
    text = st.text_area("Añade el texto a evaluar")

    # Buttons for different analysis (for this example, I'm assuming just sentiment analysis, you can add more)
    run_analysis = st.button("Evaluar Sentimiento")

with col2:
    st.write("Resultados")
    
    # Create a container for output to occupy the lower half of the layout
    output_container = st.beta_container()

    if run_analysis and text:
        with output_container:
            out = pipe(text)
            st.json(out)
    elif run_analysis and not text:
        st.warning("Por favor, añade un texto para evaluar.")