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Download app.py from chanyaphas/text_classification: direct link, hf CLI and curl.
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https://huggingface.co/spaces/chanyaphas/text_classification/resolve/main/app.py
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curl -L -o app.py https://huggingface.co/spaces/chanyaphas/text_classification/resolve/main/app.py
493 Bytes
| import streamlit as st | |
| from transformers import pipeline | |
| classifier = pipeline("sentiment-analysis", model="chanyaphas/finetuned_yelp") | |
| def main(): | |
| st.title("Yelp review") | |
| with st.form("text_field"): | |
| text = st.text_area('enter some text:') | |
| # clicked==True only when the button is clicked | |
| clicked = st.form_submit_button("Submit text") | |
| if clicked: | |
| results = classifier([text]) | |
| st.json(results) | |
| if __name__ == "__main__": | |
| main() |