Update app.py

app.py

@@ -54,9 +54,9 @@ EXPLANATIONS = {
 def custom_sentiment(text):
     inputs = sentiment_tokenizer(text, return_tensors="pt", truncation=True, padding=True)
     with torch.no_grad():
-    outputs = sentiment_model(**inputs)
-    probs = torch.nn.functional.softmax(outputs.logits, dim=1)
-    label_idx = torch.argmax(probs).item()
+        outputs = sentiment_model(**inputs)
+        probs = torch.nn.functional.softmax(outputs.logits, dim=1)
+        label_idx = torch.argmax(probs).item()
 
     label_map = {0: "supportive", 1: "undermining"}
     label = label_map[label_idx]