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import gradio as gr
import pandas as pd
from processAttendance import *
import os
def findMismatchedStudents(file):
# Use the corrected path
base_dir = r"C:\Users\Sarath\Documents\College\transportProject\adminDashboard\processAttendance"
# Construct file paths
csvFileName = os.path.join(base_dir, "attendance.csv")
busAssignedListFile = os.path.join(base_dir, "busAssignedList.csv")
mismatchedStudentsFile = os.path.join(base_dir, "mismatchedStudents.csv")
# Process the files
extract_route_emails_and_timestamps(file.name, csvFileName)
find_mismatched_students(busAssignedListFile, csvFileName, mismatchedStudentsFile)
# Return the mismatched students data
return pd.read_csv(mismatchedStudentsFile)
# Define the Gradio interface
interface = gr.Interface(
fn=findMismatchedStudents, # Function to call
inputs=gr.File(type='filepath', label="Upload Excel File"), # File input
outputs=gr.Dataframe(), # DataFrame output
title="Bus Boarding", # Title of the app
description="Upload Attendance file to find the students who boarded the wrong bus", # Description
allow_flagging="never"
)
# Launch the app
interface.launch()