clear plot area after first plot

app.py

@@ -133,7 +133,6 @@ labelencoderOffice.classes_ = np.load("classes_office.npy")
 
 
 def textclassification(SubmittedText):
-    plt.clf()
     language = detect(SubmittedText)
 
     # Translate the input to german if necessary
@@ -150,6 +149,7 @@ def textclassification(SubmittedText):
     labelsOffice = labelencoderOffice.classes_
 
     for pipe, barnames in zip((pipeDep, pipeOffice), (labelsDep, labelsOffice)):
+        plt.clf()
         prediction = pipe(SubmittedText[0:1000], return_all_scores=True)
         rates = [row["score"] for row in prediction[0]]