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import streamlit as st | |
from datasets import load_dataset, concatenate_datasets | |
import json | |
import os | |
import base64 | |
from datetime import datetime | |
def load_and_combine_datasets(): | |
try: | |
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 | |
except Exception as e: | |
st.error(f"Error loading datasets: {e}") | |
return None | |
def datetime_serializer(o): | |
if isinstance(o, datetime): | |
return o.strftime('%Y-%m-%d %H:%M:%S') | |
def save_combined_dataset_as_jsonl(combined_dataset, file_path): | |
try: | |
with open(file_path, 'w', encoding='utf-8') as f: | |
for example in combined_dataset: | |
json.dump(example, f, ensure_ascii=False, default=datetime_serializer) | |
f.write('\n') | |
st.success(f"Combined dataset saved as JSONL file: {file_path}") | |
except Exception as e: | |
st.error(f"Error saving dataset: {e}") | |
def main(): | |
st.title("Combined Dataset Viewer and Downloader") | |
# Load and combine datasets | |
combined_dataset = load_and_combine_datasets() | |
if combined_dataset is not None: | |
# Display a subset of the combined dataset | |
st.write("Subset of Combined Dataset:", combined_dataset[:10]) | |
# Take input for output dataset name | |
output_dataset_name = st.text_input("Enter output dataset name (without extension):", "combined_dataset") | |
# Add option to save the combined dataset as JSONL | |
if st.button("Save Combined Dataset (JSONL)"): | |
file_path = os.path.join(os.getcwd(), f"{output_dataset_name}.jsonl") | |
save_combined_dataset_as_jsonl(combined_dataset, file_path) | |
# Add option to download the JSONL file | |
if st.button("Download Combined Dataset (JSONL)"): | |
file_path = os.path.join(os.getcwd(), f"{output_dataset_name}.jsonl") | |
save_combined_dataset_as_jsonl(combined_dataset, file_path) | |
try: | |
with open(file_path, "rb") as f: | |
bytes_data = f.read() | |
b64 = base64.b64encode(bytes_data).decode() | |
href = f'<a href="data:file/jsonl;base64,{b64}" download="{output_dataset_name}.jsonl">Download JSONL File</a>' | |
st.markdown(href, unsafe_allow_html=True) | |
# Provide download button | |
st.download_button(label="Click to Download", | |
data=bytes_data, | |
file_name=f"{output_dataset_name}.jsonl", | |
mime="application/jsonl") | |
except Exception as e: | |
st.error(f"Error preparing download: {e}") | |
if __name__ == "__main__": | |
main() | |