Spaces:
Sleeping
Sleeping
File size: 1,257 Bytes
c7cc986 ff82de9 c7cc986 b75c1aa 360bd52 c7cc986 360bd52 c7cc986 360bd52 ff82de9 360bd52 c7cc986 b75c1aa c7cc986 b75c1aa 360bd52 c7cc986 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 |
import streamlit as st
from datasets import load_dataset, concatenate_datasets
def load_and_combine_datasets():
python_codes_dataset = load_dataset('flytech/python-codes-25k', split='train')
streamlit_issues_dataset = load_dataset("andfanilo/streamlit-issues", split='train')
streamlit_docs_dataset = load_dataset("sai-lohith/streamlit_docs", split='train')
combined_dataset = concatenate_datasets([python_codes_dataset, streamlit_issues_dataset, streamlit_docs_dataset])
return combined_dataset
def save_combined_dataset(combined_dataset, dataset_name):
combined_dataset.save_to_disk(dataset_name)
def main():
st.title("Combined Dataset Viewer")
# Load and combine datasets
combined_dataset = load_and_combine_datasets()
# Display a subset of the combined dataset
st.write("Subset of Combined Dataset:", combined_dataset[:10])
# Add option to save the combined dataset
if st.button("Save Combined Dataset"):
dataset_name = st.text_input("Enter a name for the combined dataset:")
if dataset_name:
save_combined_dataset(combined_dataset, dataset_name)
st.success(f"Combined dataset saved as '{dataset_name}'!")
if __name__ == "__main__":
main()
|