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import gradio as gr | |
import pandas as pd | |
from BHEL import parse_bhel_pdf | |
from FederalElectric import parse_federal_electric_pdf | |
from ALNISF import parse_alnisf_pdf | |
def process_pdf(file, format_type): | |
# Select the appropriate parser based on format type | |
if format_type == "BHEL.py": | |
df = parse_bhel_pdf(file.name) | |
elif format_type == "Federal Electric.py": | |
df = parse_federal_electric_pdf(file.name) | |
elif format_type == "AL-NISF": | |
df = parse_alnisf_pdf(file.name) | |
else: | |
return "Unsupported format selected", None | |
# Save the DataFrame to an Excel file | |
output_file = f"{format_type}_Data.xlsx" | |
df.to_excel(output_file, index=False) | |
return output_file | |
# Gradio Interface | |
iface = gr.Interface( | |
fn=process_pdf, | |
inputs=[ | |
gr.File(label="Upload PDF"), | |
gr.Dropdown(choices=["BHEL.py", "Federal Electric.py", "AL-NISF"], label="Select Format") | |
], | |
outputs=gr.File(label="Download Excel") | |
) | |
if __name__ == "__main__": | |
iface.launch() | |