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0657cdd
1
Parent(s):
c554a0a
Create app.py
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app.py
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import gradio as gr
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from dataset_recommender import DatasetRecommender
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db_lookup = DatasetRecommender()
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def predict(input_text, option):
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if option == "Semantic search":
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response = db_lookup.recommend_based_on_text(input_text)
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output = f"Message: {response['message']} \n Datasets: {', '.join([x for x in response['datasets']])}"
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elif option == 'Dataset similarity':
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response = db_lookup.get_similar_datasets(input_text)
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output = f"Similar Datasets: {', '.join([x for x in response['datasets']])}"
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else:
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output = "Please select an option"
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return output
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input_type = gr.inputs.Textbox(label="Input Text")
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checkbox = gr.inputs.Radio(["Semantic search", "Dataset similarity"], label="Please select search type:")
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iface = gr.Interface(fn=predict, inputs=[input_type, checkbox], outputs="text", title="SearchingFace")
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iface.launch()
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