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Update app.py
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app.py
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@@ -51,14 +51,10 @@ def getPrediction(input):
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return result, confidence_score
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def getSentiment(idx):
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case 0:
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return "Negative"
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case 1:
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return "Positive"
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case default:
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return "Neutral"
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text = st.text_area("Enter Text...")
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if text:
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@@ -67,3 +63,13 @@ if text:
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response = {"prediction": getSentiment(prediction[0]) + " Statement",
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"confidence": "{:.2f}".format(float(confidence_score[0] * 100)) + "%"} # Adjust as necessary for output formatting
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st.json(response)
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return result, confidence_score
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def getSentiment(idx):
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return {0: "Negative", 1: "Positive", 2: "Neutral"}.get(idx, "Neutral")
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# Streamlit UI
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st.title("Sentiment Analysis")
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text = st.text_area("Enter Text...")
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if text:
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response = {"prediction": getSentiment(prediction[0]) + " Statement",
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"confidence": "{:.2f}".format(float(confidence_score[0] * 100)) + "%"} # Adjust as necessary for output formatting
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st.json(response)
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# Add a POST endpoint
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def api_predict(text):
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prediction, confidence_score = getPrediction(text)
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return {
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"prediction": getSentiment(prediction) + " Statement",
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"confidence": f"{confidence_score * 100:.2f}%"
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}
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st.experimental_set_query_params(api_predict=api_predict)
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