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4ea6b57
1
Parent(s):
b6aa4bf
Update app.py
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app.py
CHANGED
@@ -3,17 +3,27 @@ from transformers import pipeline
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pipeline = pipeline("feature-extraction", model="WhereIsAI/UAE-Large-V1")
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def predict(text):
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semantic_score = cosine_similarity(title_embedding.flatten(), term_embedding.flatten()) * 100
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return str(format(semantic_score,'.2f'))
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gradio_app = gr.Interface(
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predict,
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inputs='text',
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outputs='text',
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title="
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)
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if __name__ == "__main__":
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pipeline = pipeline("feature-extraction", model="WhereIsAI/UAE-Large-V1")
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def predict(text):
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title_outputs = pipeline(text)
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title_outputs = torch.tensor(title_outputs)
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# Mean pooling
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title_embedding = title_outputs.mean(dim=1)
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#title_embedding = title_outputs.last_hidden_state.mean(dim=1)
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term_outputs = pipeline('multivitamin for men')
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term_outputs = torch.tensor(term_outputs)
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term_embedding = term_outputs.mean(dim=1)
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#term_embedding = term_outputs.last_hidden_state.mean(dim=1)
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semantic_score = cosine_similarity(title_embedding.flatten(), term_embedding.flatten()) * 100
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return str(format(semantic_score,'.2f'))
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gradio_app = gr.Interface(
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predict,
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inputs='text',
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outputs='text',
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title="Keyword Score",
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)
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if __name__ == "__main__":
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