Rimi98 commited on
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c5ae673
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1 Parent(s): ec658f5

Create app.py

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  1. app.py +28 -0
app.py ADDED
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+ import gradio as gr
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+ import onnxruntime
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+ from transformers import AutoTokenizer
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+ import torch, json
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+
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+ token = AutoTokenizer.from_pretrained('pablocosta/bertabaporu-large-uncased')
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+
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+ with open("genre_types_encoded.json", "r") as fp:
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+ types = json.load(fp)
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+
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+ types = list(types)
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+
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+
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+ inf_session = onnxruntime.InferenceSession('https://drive.google.com/file/d/1-8Iru2d_NjNmZ_czxu87IjIX1meBea4E/view?usp=sharing')
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+ input_name = inf_session.get_inputs()[0].name
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+ output_name = inf_session.get_outputs()[0].name
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+
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+ def classify(review):
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+ input_ids = token(review)['input_ids'][:512]
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+ logits = inf_session.run([output_name], {input_name: [input_ids]})[0]
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+ logits = torch.FloatTensor(logits)
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+ probs = torch.sigmoid(logits)[0]
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+ return dict(zip(types, map(float, probs)))
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+
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+
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+ label = gr.outputs.Label(num_top_classes=5)
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+ iface = gr.Interface(fn=classify, inputs="text", outputs=label)
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+ iface.launch(inline=False)