Ammarzahid commited on
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b905aff
1 Parent(s): b3973e3

Create app.py

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  1. app.py +25 -0
app.py ADDED
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+ import streamlit as st
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+ from transformers import pipeline
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+
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+ model_path = "citizenlab/twitter-xlm-roberta-base-sentiment-finetunned"
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+
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+ st.set_page_config(page_title="Sentiment Analysis App")
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+
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+
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+ sentiment_classifier = pipeline("text-classification", model=model_path, tokenizer=model_path)
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+
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+ st.title("Sentiment Analysis App")
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+
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+ user_input = st.text_area("Enter a message:")
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+
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+ if st.button("Analyze Sentiment"):
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+ if user_input:
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+ # Perform sentiment analysis
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+ results = sentiment_classifier(user_input)
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+ sentiment_label = results[0]["label"]
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+ sentiment_score = results[0]["score"]
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+
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+ st.write(f"Sentiment: {sentiment_label}")
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+ st.write(f"Confidence Score: {sentiment_score:.2f}")
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+
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+ # Run the Streamlit app