Update app.py

app.py

@@ -92,14 +92,15 @@ def analizar_tweets(search_words, number_of_tweets):
           for tweet in tweets:
               if (tweet.full_text.startswith('RT')):
                   continue
-              elif not tweet.full_text.strip():
-                  continue
               else:
                   datos = preprocess(tweet.full_text)
-                  prediction = pipeline_nlp(datos)
-                  for predic in prediction:
-                      etiqueta = {'Tweets': datos,'Prediccion': predic['label'], 'Probabilidad': predic['score']}
-                      result.append(etiqueta)         
+                  if datos == "":
+                      continue 
+                  else:
+                      prediction = pipeline_nlp(datos)
+                      for predic in prediction:
+                          etiqueta = {'Tweets': datos,'Prediccion': predic['label'], 'Probabilidad': predic['score']}
+                          result.append(etiqueta)         
           df = pd.DataFrame(result)
           df['Prediccion'] = np.where( df['Prediccion'] == 'LABEL_1', 'Sexista', 'No Sexista')
           df = df[df["Prediccion"] == 'Sexista']