App update for placeholder 2

app.py

@@ -11,16 +11,17 @@ with open("label_types_encoded.json", "r") as fp:
 genres = list(encode_genre_types.keys())
 
 inf_session = rt.InferenceSession('news-classifier-quantized.onnx')
-input_name = inf_session.get_inputs(placeholder="Enter a news article here")[0].name
+input_name = inf_session.get_inputs()[0].name
 output_name = inf_session.get_outputs()[0].name
 
-def classify_news_label(Body):
-    input_ids = tokenizer(Body)['input_ids'][:512]
+def classify_news_label(article):
+    input_ids = tokenizer(article)['input_ids'][:512]
     logits = inf_session.run([output_name], {input_name: [input_ids]})[0]
     logits = torch.FloatTensor(logits)
     probs = torch.sigmoid(logits)[0]
     return dict(zip(genres, map(float, probs)))
 
 label = gr.outputs.Label(num_top_classes=4)
+text_input = gr.inputs.Text(placeholder="Enter an article here") # Added placeholder
 iface = gr.Interface(fn=classify_news_label, inputs="text", outputs=label)
 iface.launch(inline=False)