Spaces:
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added dataset server
Browse files
app.py
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import streamlit as st
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x = st.slider('Select a value')
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st.write(x, 'squared is', x * x)
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import streamlit as st
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import requests
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import pandas as pd
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# Slider to select a value
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x = st.slider('Select a value')
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st.write(x, 'squared is', x * x)
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# Function to get data from Hugging Face datasets server
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def get_arxiv_data():
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url = "https://datasets-server.huggingface.co/first-rows?dataset=arxiv_dataset&config=default&split=train"
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response = requests.get(url)
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if response.status_code == 200:
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return response.json()
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else:
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st.error("Failed to retrieve data")
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return None
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# Button to load data
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if st.button('Load ArXiv Data'):
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data = get_arxiv_data()
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if data:
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# Assuming the data is in a format that can be directly converted to a DataFrame
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df = pd.DataFrame(data)
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st.write(df)
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# import streamlit as st
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# x = st.slider('Select a value')
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# st.write(x, 'squared is', x * x)
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# from datasets import load_dataset
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# dataset = load_dataset("arxiv_dataset", data_dir="")
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# print(dataset)
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