text preprocessing added

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+import string
 from fastai.text.all import *
 
 #loading the model from pretrained weights
@@ -7,6 +8,11 @@ model = load_learner('emot.pkl')
 labels = ['sadnesss','joy','love','anger','fear','surprise']
 
 def make_prediction(text):
+    #text preprocessing
+    tr = str.maketrans('','',string.punctuation)
+    text=text.translate(tr).lower()
+    
+    #making prediction by passing to model 
     choice,pos,preds= model.predict(text)
     return {labels[i]:float(preds[i]) for i in range(len(labels))}