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import streamlit as st
import wna_googlenews as wna
from transformers import pipeline
st.title("WNA Google News App")
st.subheader("Search for News")
# create a dropdown menu for selecting days range
days_range = st.selectbox("Select Days Range", ["1d", "7", "30d"])
query = st.text_input("Enter Query")
settings = {
"lang": "fr",
"region": "FR",
"period": days_range
}
classifier = pipeline(task="text-classification", model="SamLowe/roberta-base-go_emotions", top_k=None)
if st.button("Search"):
df = wna.get_news(settings, query)
st.dataframe(df)
sentences = ["I am not having a great day"]
model_outputs = classifier(sentences)
st.write(model_outputs[0])
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