app.py

import gradio as gr
import pandas as pd
from fpdf import FPDF
import os

# Function to generate the EIA report
def generate_eia_report(file):
    try:
        # Check the file extension and load the file with the appropriate engine
        file_extension = os.path.splitext(file.name)[1].lower()
        
        if file_extension == '.xlsx':
            # Attempt to read the file with the openpyxl engine
            try:
                df = pd.read_excel(file, engine='openpyxl')
            except Exception as e:
                return f"Error reading .xlsx file: {str(e)}", None
        elif file_extension == '.xls':
            # Attempt to read the file with the xlrd engine
            try:
                df = pd.read_excel(file, engine='xlrd')
            except Exception as e:
                return f"Error reading .xls file: {str(e)}", None
        else:
            return "Unsupported file format. Please upload a valid Excel file (.xlsx or .xls).", None

        # Prepare a PDF report
        pdf = FPDF()
        pdf.set_auto_page_break(auto=True, margin=15)
        pdf.add_page()
        pdf.set_font("Arial", size=12)

        # Add title
        pdf.set_font("Arial", style="B", size=16)
        pdf.cell(0, 10, "ENVIRONMENT IMPACT ASSESSMENT REPORT", ln=True, align="C")
        pdf.ln(10)

        # Add table of contents
        pdf.set_font("Arial", style="B", size=14)
        pdf.cell(0, 10, "TABLE OF CONTENTS", ln=True)
        pdf.set_font("Arial", size=12)
        table_of_contents = [
            "EXECUTIVE SUMMARY",
            "PROJECT TITLE AND LOCATION",
            "PROJECT PROPONENT",
            "THE EIA STUDY CONSULTANT",
            "BRIEF DESCRIPTION OF THE PROJECT",
            "ENVIRONMENTAL CONDITIONS OF THE SITE",
            "MAJOR IMPACTS & PROPOSED MITIGATION",
            "PROPOSED ENVIRONMENTAL MONITORING",
            "CHAPTER # 1: INTRODUCTION",
            "CHAPTER # 2: DESCRIPTION OF PROJECT",
            "CHAPTER # 3: ENVIRONMENTAL & SOCIAL BASELINE CONDITIONS",
            "CHAPTER # 4: POTENTIAL ENVIRONMENTAL IMPACTS & MITIGATION MEASURES",
            "CHAPTER # 5: ENVIRONMENTAL MANAGEMENT AND MONITORING PROGRAM",
            "CHAPTER # 6: STAKEHOLDERS AND PUBLIC CONSULTATION",
            "CHAPTER # 7: CONCLUSION & RECOMMENDATIONS",
            "REFERENCES",
            "GLOSSARY",
        ]
        for idx, item in enumerate(table_of_contents, 1):
            pdf.cell(0, 10, f"{idx}. {item}", ln=True)
        pdf.ln(10)

        # Add content dynamically from the Excel file
        pdf.set_font("Arial", style="B", size=14)
        pdf.cell(0, 10, "EXECUTIVE SUMMARY", ln=True)
        pdf.set_font("Arial", size=12)
        summary = df.get("Executive Summary", "No data provided.")
        if isinstance(summary, pd.Series):
            summary = summary.iloc[0]  # Take the first entry if it's a series
        pdf.multi_cell(0, 10, str(summary))

        # Example: Add more sections from the Excel data
        sections = ["Project Title", "Project Proponent", "Environmental Conditions"]
        for section in sections:
            pdf.add_page()
            pdf.set_font("Arial", style="B", size=14)
            pdf.cell(0, 10, section, ln=True)
            pdf.set_font("Arial", size=12)
            content = df.get(section, "No data provided.")
            if isinstance(content, pd.Series):
                content = content.iloc[0]  # Take the first entry if it's a series
            pdf.multi_cell(0, 10, str(content))

        # Save the PDF to a local path that Gradio can access
        output_file = "EIA_Report.pdf"  # Save in the current working directory
        pdf.output(output_file)

        return "Report generated successfully!", output_file

    except Exception as e:
        return f"Error occurred: {str(e)}", None


# Gradio interface
def process_file(file):
    status, pdf_path = generate_eia_report(file)
    if pdf_path:
        return status, pdf_path
    else:
        return status, None


with gr.Blocks() as demo:
    gr.Markdown("# Environmental Impact Assessment Tool with PDF Report")
    with gr.Row():
        with gr.Column():
            file_input = gr.File(label="Upload EIA Excel File", file_types=[".xlsx", ".xls"])
            submit_button = gr.Button("Submit")
        with gr.Column():
            status_output = gr.Textbox(label="Status")
            file_output = gr.File(label="Generated EIA Report (PDF)")

    submit_button.click(process_file, inputs=[file_input], outputs=[status_output, file_output])

demo.launch()