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import streamlit as st | |
import yaml | |
from models import predict_model | |
def visualize(): | |
st.write("# Summarization UI") | |
st.markdown( | |
""" | |
*For additional questions and inquiries, please contact **Gagan Bhatia** via [LinkedIn]( | |
https://www.linkedin.com/in/gbhatia30/) or [Github](https://github.com/gagan3012).* | |
""" | |
) | |
text = st.text_area("Enter text here") | |
if st.button("Generate Summary"): | |
with st.spinner("Connecting the Dots..."): | |
sumtext = predict_model(text=text) | |
st.write("# Generated Summary:") | |
st.write("{}".format(sumtext)) | |
with open("reports/visualization_metrics.txt", "w") as file1: | |
file1.writelines(text) | |
file1.writelines(sumtext) | |
if __name__ == "__main__": | |
with open("params.yml") as f: | |
params = yaml.safe_load(f) | |
if params["visualise"]: | |
visualize() | |