updated app

app.py

@@ -72,7 +72,8 @@ tokenizer, model = get_model()
 
 if text:
     text_sample = tokenizer([text], padding = 'max_length')
-    output = model(text_sample)
-    st.write("Logits: ",output.logits)
-    y_pred = np.argmax(output.logits.detach().numpy(),axis =1)
-    st.write("Prediction :",d[y_pred[0]])
+    print(text_sample)
+    # output = model(text_sample)
+    # st.write("Logits: ",output.logits)
+    # y_pred = np.argmax(output.logits.detach().numpy(),axis =1)
+    # st.write("Prediction :",d[y_pred[0]])