Spaces:
Sleeping
Sleeping
Create app.py
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app.py
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import gradio as gr
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import pandas as pd
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# Load your dataset from HF Dataset repo
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url = "https://huggingface.co/datasets/SleepyTerr/RB_music/resolve/main/rnb_dataset.csv"
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df = pd.read_csv(url)
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# Define a simple API function
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def get_song(index: int):
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if index < 0 or index >= len(df):
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return "Invalid index"
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song = df.iloc[index]
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return {
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"Song": song['Song'],
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"Artist": song['Artist'],
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"Album": song['Album'],
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"Release Year": song['Release Year'],
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"Monthly Listeners": song['Monthly Listeners']
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}
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# Gradio interface
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api = gr.Interface(
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fn=get_song,
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inputs=gr.Number(label="Song Index"),
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outputs="json",
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title="R&B Music Dataset API",
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description="Returns song info by index"
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)
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api.launch()
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