app.py changed

app.py

@@ -5,22 +5,22 @@ import torch, json
 
 tokenizer = AutoTokenizer.from_pretrained("distilroberta-base")
 
-with open("genre_types_encoded.json", "r") as fp:
-  encode_genre_types = json.load(fp)
+with open("tag_types_encoded.json", "r") as fp:
+  encode_tag_types = json.load(fp)
 
-genres = list(encode_genre_types.keys())
+tags = list(encode_tag_types.keys())
 
-inf_session = rt.InferenceSession('book-classifier-quantized.onnx')
+inf_session = rt.InferenceSession('quote-classifier-quantized.onnx')
 input_name = inf_session.get_inputs()[0].name
 output_name = inf_session.get_outputs()[0].name
 
-def classify_book_genre(description):
+def classify_book_tag(description):
   input_ids = tokenizer(description)['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))) 
+  return dict(zip(tags, map(float, probs))) 
 
 label = gr.outputs.Label(num_top_classes=5)
-iface = gr.Interface(fn=classify_book_genre, inputs="text", outputs=label)
+iface = gr.Interface(fn=classify_book_tag, inputs="text", outputs=label)
 iface.launch(inline=False)