import streamlit as st
from transformers import pipeline

st.set_page_config(
    page_title="Detector de comentarios toxicos en twitter",
    page_icon="🎈",
)


def _max_width_():
    max_width_str = f"max-width: 1400px;"
    st.markdown(
        f"""
    <style>
    .reportview-container .main .block-container{{
        {max_width_str}
    }}
    </style>    
    """,
        unsafe_allow_html=True,
    )


_max_width_()

c30, c31, c32 = st.columns([2.5, 1, 3])

with c30:
    # st.image("logo.png", width=400)
    st.title("🔑 Detector de comentarios toxicos en twitter")
    st.header("")

txt = st.text_area('Text to analyze')
# print(txt)

# pipe = pipeline(model="dehatebert-mono-spanish")
# result = pipe(txt)
# st.write("result")