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122e16f
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Parent(s):
728de76
Updated app.py
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app.py
CHANGED
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@@ -1,7 +1,8 @@
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import gradio as gr
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from textblob import TextBlob
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def sentiment_analysis(text: str) ->
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"""
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Analyze the sentiment of the given text.
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@@ -9,22 +10,24 @@ def sentiment_analysis(text: str) -> dict:
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text (str): The text to analyze
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Returns:
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"""
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blob = TextBlob(text)
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sentiment = blob.sentiment
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"polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive)
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"subjectivity": round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective)
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"assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
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}
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# Create the Gradio interface
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demo = gr.Interface(
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fn=sentiment_analysis,
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inputs=gr.Textbox(placeholder="Enter text to analyze..."),
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outputs=gr.JSON()
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title="Text Sentiment Analysis",
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description="Analyze the sentiment of text using TextBlob"
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)
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import json
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import gradio as gr
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from textblob import TextBlob
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def sentiment_analysis(text: str) -> str:
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"""
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Analyze the sentiment of the given text.
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text (str): The text to analyze
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Returns:
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str: A JSON string containing polarity, subjectivity, and assessment
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"""
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blob = TextBlob(text)
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sentiment = blob.sentiment
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result = {
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"polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive)
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"subjectivity": round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective)
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"assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
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}
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return json.dumps(result)
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# Create the Gradio interface
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demo = gr.Interface(
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fn=sentiment_analysis,
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inputs=gr.Textbox(placeholder="Enter text to analyze..."),
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outputs=gr.Textbox(), # Changed from gr.JSON() to gr.Textbox()
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title="Text Sentiment Analysis",
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description="Analyze the sentiment of text using TextBlob"
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)
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