Resize input box

app.py

@@ -10,8 +10,8 @@ model = AutoModelForSequenceClassification.from_pretrained(repo_name)
 labels = model.config.id2label
 print(labels)
 
-def predict(review):
-	inputs = tokenizer(review, padding=True, truncation=True, return_tensors="pt")
+def predict(lyrics):
+	inputs = tokenizer(lyrics, padding=True, truncation=True, return_tensors="pt")
 	outputs = model(**inputs)
 	predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)
 	predictions = predictions.detach().numpy()[0]
@@ -23,5 +23,7 @@ def predict(review):
 		predictions[sorted_indexes[-2]], labels[sorted_indexes[-2]],
 		predictions[sorted_indexes[-3]], labels[sorted_indexes[-3]])
 
-iface = gr.Interface(fn=predict, inputs="text", outputs="text")
+input = gr.inputs.Textbox(lines=20)
+
+iface = gr.Interface(fn=predict, inputs=input, outputs="text")
 iface.launch()