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Update app.py
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app.py
CHANGED
@@ -48,14 +48,13 @@ def generate_vis(df, mode='Document'):
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return '\n'.join(result)
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def predict_query(input, agg):
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code = f'''import
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import pyt_splade
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splade = pyt_splade.Splade(agg={agg!r})
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query_pipeline = splade.query_encoder()
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query_pipeline({
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'''
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pipeline = {
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'max': factory_max,
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@@ -63,17 +62,17 @@ query_pipeline({df2code(input)})
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}[agg].query_encoder()
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res = pipeline(input)
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vis = generate_vis(res, mode='Query')
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return (res, code2md(code, COLAB_INSTALL, COLAB_NAME), vis)
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def predict_doc(input, agg):
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code = f'''import
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import pyt_splade
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splade = pyt_splade.Splade(agg={repr(agg)})
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doc_pipeline = splade.doc_encoder()
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doc_pipeline({
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'''
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pipeline = {
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'max': factory_max,
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return '\n'.join(result)
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def predict_query(input, agg):
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code = f'''import pyt_splade
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splade = pyt_splade.Splade(agg={agg!r})
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query_pipeline = splade.query_encoder()
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query_pipeline({df2list(input)})
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'''
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pipeline = {
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'max': factory_max,
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}[agg].query_encoder()
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res = pipeline(input)
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vis = generate_vis(res, mode='Query')
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res['query_toks'] = [json.dumps({k: round(v, 4) for k, v in t.items()}) for t in res['query_toks']]
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return (res, code2md(code, COLAB_INSTALL, COLAB_NAME), vis)
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def predict_doc(input, agg):
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code = f'''import pyt_splade
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splade = pyt_splade.Splade(agg={repr(agg)})
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doc_pipeline = splade.doc_encoder()
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doc_pipeline({df2list(input)})
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'''
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pipeline = {
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'max': factory_max,
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