Update app.py

app.py

@@ -17,9 +17,9 @@ tokenizer = BertTokenizer.from_pretrained('rpratap2102/The_Misfits')
 nlp = pipeline("sentiment-analysis", model=finbert, tokenizer=tokenizer)
 
 c_labels = {
-    'Negative': {'text': 'This does not look good for the Market.', 'image': 'negative.png'},
-    'Positive': {'text': 'This seems to be good news for the market.', 'image': 'positive.png'},
-    'Neutral': {'text': "This is normal in the market.", 'image': 'neutral.png'}
+    'Negative': {'text': 'This does not look good for the Market.', 'image': 'negative.gif'},
+    'Positive': {'text': 'This seems to be good news for the market.', 'image': 'positive.gif'},
+    'Neutral': {'text': "This is normal in the market.", 'image': 'neutral.gif'}
 }
 
 def load_image(file_name):