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nitinbhayana
commited on
Commit
•
6ac529c
1
Parent(s):
6650ff5
Update app.py
Browse files
app.py
CHANGED
@@ -1,15 +1,20 @@
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import gradio as gr
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#gr.load("models/WhereIsAI/UAE-Large-V1").launch()
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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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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import gradio as gr
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from transformers import pipeline
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pipeline = pipeline("feature-extraction", model="WhereIsAI/UAE-Large-V1")
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def similarity(text):
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title_embedding = pipeline(text)
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term_embedding = pipeline('multivitamin for men')
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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="Yes Or No?",
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)
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if __name__ == "__main__":
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gradio_app.launch()
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