testblob tester up

app.py

@@ -17,24 +17,16 @@ preds = [{"score": round(pred["score"], 4), "label": pred["label"]} for pred in
 st.write('According to Pipeline, input text is ', preds[0]['label'], ' with a confidence of ', preds[0]['score'])
 
 # textblob
-polarity = TextBlob(textIn).sentiment.polarity
-sentiment = ''
-if score < 0:
-    sentiment = 'Negative'
-elif score == 0:
-    sentiment = 'Neutral'
-else:
-    sentiment = 'Positive'
-st.write('According to textblob, input text is ', sentiment, ' with a polarity (subjectivity score) of ', polarity)
-
-
-# def getAnalysis(score):
-#     if score < 0:
-#         return 'Negative'
-#     elif score == 0:
-#         return 'Neutral'
-#     else:
-#         return 'Positive'
-# df['polarity'] = df[text].apply(textblob_polarity)
-# df['classification'] = df['polarity'].apply(getAnalysis)
+def textblob_polarity(text):
+    return TextBlob(text).sentiment.polarity
+def getAnalysis(score):
+    if score < 0:
+        return 'Negative'
+    elif score == 0:
+        return 'Neutral'
+    else:
+        return 'Positive'
+df['polarity'] = df[text].apply(textblob_polarity)
+df['classification'] = df['polarity'].apply(getAnalysis)
+st.write('According to textblob, input text is ', df['classification'], ' with a polarity (subjectivity score) of ', df['polarity'])