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import gradio as gr
import pandas as pd
from src.types import TableMapping
from src.core import get_dataframes, get_table_mapping, save_csv_file, sanitize_python_output
source_df, template_df = get_dataframes()
with gr.Blocks() as demo:
with gr.Column():
gr.Markdown("# Step 1\n### Upload a Template CSV and a Source CSV file.")
with gr.Row():
gr.inputs.File(label="Template", type="file", file_count='single')
gr.inputs.File(label="Source", type="file", file_count='single')
with gr.Column():
gr.Markdown("## Mapping from Source to Template")
with gr.Row():
table_mapping: TableMapping = get_table_mapping(source_df, template_df)
table_mapping_df = pd.DataFrame(table_mapping.dict()['table_mappings'])
gr.DataFrame(value=table_mapping_df)
save_mapping_btn = gr.Button(value="Save Mapping", variant="secondary")
save_mapping_btn.click(fn=lambda : save_csv_file(table_mapping_df, 'table_mapping'))
with gr.Row():
generate_code_btn = gr.Button(value="Generate Code from Mapping", variant="primary")
# generate_code_btn.click(fn=generate_code, outputs=test)
# with gr.Column():
# gr.Markdown("## Here is the code that will be used to transform the source file into the template schema:")
# gr.Code(language="python", value=sanitize_python_output(transform_code))
# with gr.Row():
# gr.Button(value="Transform Source", variant="primary", trigger="transform_source")
# gr.Button(value="Save Code", variant="secondary", trigger="save_code")
# with gr.Row():
# with gr.Column():
# gr.Dataframe(label='Target (template)', type='pandas', value=template_df)
# with gr.Column():
# gr.Dataframe(label='Source (transformed)', type='pandas', value=PythonAstREPLTool(locals={'source_df': table_1_df}).run(transform_code))
demo.launch()
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