PyStreamGPT / app.py
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Update app.py
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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()