Update app.py

app.py

@@ -50,27 +50,27 @@ if Cont:
     model = AutoModelForSequenceClassification.from_pretrained(model_path)
 
     
-#pass text to model
-output=pipe(text)
-output_dict=output[0]
-lable=output_dict['label']
-score=output_dict['score']
-
-    #output
-if lable=='NEGATIVE':
-    with col1:
-        com.iframe("https://embed.lottiefiles.com/animation/125694")
-    col2.write('NEGATIVE')
-    col3.write(f'{score*100:.2f}%')
-elif lable=='POSITIVE':
-    with col1:
-        com.iframe("https://embed.lottiefiles.com/animation/148485")
-    col2.write('POSITIVE')
-    col3.write(f'{score*100:.2f}%')
-else:
-    with col1:
-        com.iframe("https://embed.lottiefiles.com/animation/136052")
-    col2.write('NEUTRAL')
-    col3.write(f'{score*100:.2f}%')
+    #pass text to model
+    output=pipe(text)
+    output_dict=output[0]
+    lable=output_dict['label']
+    score=output_dict['score']
+    
+        #output
+    if lable=='NEGATIVE':
+        with col1:
+            com.iframe("https://embed.lottiefiles.com/animation/125694")
+        col2.write('NEGATIVE')
+        col3.write(f'{score*100:.2f}%')
+    elif lable=='POSITIVE':
+        with col1:
+            com.iframe("https://embed.lottiefiles.com/animation/148485")
+        col2.write('POSITIVE')
+        col3.write(f'{score*100:.2f}%')
+    else:
+        with col1:
+            com.iframe("https://embed.lottiefiles.com/animation/136052")
+        col2.write('NEUTRAL')
+        col3.write(f'{score*100:.2f}%')