mhdhrubo commited on
Commit
e72da31
1 Parent(s): ac0e965

adding files

Browse files
app.py ADDED
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+ import gradio as gr
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+ import onnxruntime as rt
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+ from transformers import AutoTokenizer
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+ import torch, json
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+
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+ tokenizer = AutoTokenizer.from_pretrained("distilroberta-base")
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+
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+ with open("genre_types_encoded.json", "r") as fp:
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+ encode_genre_types = json.load(fp)
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+
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+ genres = list(encode_genre_types.keys())
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+
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+ inf_session = rt.InferenceSession('movie_gnere-classifier-quantized.onnx')
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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_book_genre(Description):
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+ input_ids = tokenizer(Description)['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(genres, map(float, probs)))
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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_book_genre, inputs="text", outputs=label)
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+ iface.launch(inline=False)
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+
genre_types_encoded.json ADDED
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+ {"Action": 0, "Adventure": 1, "Drama": 2, "Comedy": 3, "Thriller": 4, "Mystery": 5, "Family": 6, "Fantasy": 7, "Romance": 8, "Biography": 9, "History": 10, "Sport": 11, "Crime": 12, "Musical": 13, "Sci-fi": 14, "Horror": 15, "Animation": 16, "Music": 17, "War": 18, "Documentary": 19, "Western": 20}
movie_gnere-classifier-quantized.onnx ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:7dfa4f9cce8138fee42090760ec87fdb0e7139b23574fcd51e5b2e092cae5d66
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+ size 82573551
requirements.txt ADDED
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