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Update app.py
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app.py
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@@ -84,7 +84,7 @@ def semantic_search(query,top_k):
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return bi_df, cross_df
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title = """<h1 id="title">Voice Activated Netflix
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description = """
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Semantic Search is a way to generate search results based on the actual meaning of the query instead of a standard keyword search. I believe this way of searching provides more meaning results when trying to find a good show to watch on Netflix. For example, one could say "Success, rags to riches story" as provided in the example below to generate shows or movies with a description that is semantically similar to the query.
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return bi_df, cross_df
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title = """<h1 id="title">Voice Activated Netflix Semantic Search</h1>"""
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description = """
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Semantic Search is a way to generate search results based on the actual meaning of the query instead of a standard keyword search. I believe this way of searching provides more meaning results when trying to find a good show to watch on Netflix. For example, one could say "Success, rags to riches story" as provided in the example below to generate shows or movies with a description that is semantically similar to the query.
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