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Update app.py
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app.py
CHANGED
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import streamlit as st
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from transformers import pipeline
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def summarize_text(text):
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unmasker = pipeline("
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def main():
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user_input = st.text_area("Input Text Here")
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if st.button("
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if __name__ == "__main__":
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main()
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import pandas as pd
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import streamlit as st
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import altair as alt
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from transformers import pipeline
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def summarize_text(text):
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unmasker = pipeline("sentiment-analysis", model="stevhliu/my_awesome_model")
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sentiment_output = unmasker(text)[0]
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sentiment_label = sentiment_output["label"]
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sentiment_score = sentiment_output["score"]
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return sentiment_label, sentiment_score
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def main():
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user_input = st.text_area("Input Text Here")
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if st.button("Analyze Sentiment"):
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sentiment_label, sentiment_score = summarize_text(user_input)
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if sentiment_label == "LABEL_1":
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sentiment_label = "Positive"
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pos_score = sentiment_score
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neg_score = 1 - sentiment_score
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else:
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sentiment_label = "Negative"
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neg_score = sentiment_score
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pos_score = 1 - sentiment_score
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st.write(f"Sentiment Label: {sentiment_label}")
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st.write(f"Positive Score: {pos_score:.2f}")
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st.write(f"Negative Score: {neg_score:.2f}")
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chart_data = pd.DataFrame({"Sentiment Score": [pos_score, neg_score]}, index=["Positive", "Negative"])
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chart = alt.Chart(chart_data.reset_index()).mark_bar().encode(
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x=alt.X('index:N', title=None),
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y=alt.Y('Sentiment Score:Q', title="Sentiment Score"),
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color=alt.Color('index:N', scale=alt.Scale(domain=['Positive', 'Negative'], range=['green', 'red']), legend=None)
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).properties(
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width=300,
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height=200
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)
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st.altair_chart(chart, use_container_width=True)
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if __name__ == "__main__":
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main()
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