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Runtime error
Update app.py
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app.py
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@@ -17,10 +17,6 @@ st.write("Sentiment classification: positive, neutral, negative")
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text = st.text_area("Enter the customer review", "")
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def sentiment_class(text):
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# Check if the input text is empty or contains only whitespace
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if not text.strip():
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return None
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results = sentiment_classifier(text)[0]
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max_score = float('-inf')
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max_label = ''
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@@ -31,24 +27,21 @@ def sentiment_class(text):
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return max_score, max_label
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def summarize_text(text):
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results = summarizer(text)
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return results
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# Perform sentiment analysis when the user clicks the "Classify Sentiment" button
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if st.button("Classify Sentiment"):
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# Check if the user has entered
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if
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st.warning("Please enter a customer review first.")
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else:
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# Perform sentiment analysis on the input text
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sentiment_result = sentiment_class(text)
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st.write("Review summary:", summary)
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else:
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st.warning("Please enter a non-empty customer review.")
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text = st.text_area("Enter the customer review", "")
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def sentiment_class(text):
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results = sentiment_classifier(text)[0]
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max_score = float('-inf')
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max_label = ''
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return max_score, max_label
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def summarize_text(text):
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results = summarizer(text, max_length=100, min_length=5, do_sample=False)
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return results[0]['summary_text']
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# Perform sentiment analysis when the user clicks the "Classify Sentiment" button
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if st.button("Classify Sentiment"):
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# Check if the user has entered review
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if text is None or text.strip() == '':
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st.warning("Please enter a customer review first.")
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else:
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# Perform sentiment analysis on the input text
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sentiment_result = sentiment_class(text)
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st.write("This review sentiment is ", sentiment_result[1])
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st.write("Prediction score is ", sentiment_result[0])
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# Perform text summarization when the review sentiment is classified as negative
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if sentiment_result[1] == 'LABEL_2': # Change this to match the negative label in your model
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summary = summarize_text(text)
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st.write("Review summary: ", summary)
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