Added app.py file
Browse files
app.py
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| 1 |
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import pandas as pd
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| 2 |
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import re
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| 3 |
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import gradio as gr
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| 4 |
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| 5 |
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def load_timetable_data(files):
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| 6 |
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"""Load all timetable CSV files into a single DataFrame"""
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all_data = []
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| 8 |
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for file in files:
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df = pd.read_csv(file)
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all_data.append(df)
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return pd.concat(all_data, ignore_index=True)
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def parse_time_input(time_str):
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"""Convert time input like '8:00' to minutes since midnight"""
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try:
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if ':' in time_str:
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hours, minutes = map(int, time_str.split(':'))
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else:
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hours = int(time_str)
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minutes = 0
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return hours * 60 + minutes
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except:
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return None
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def parse_slot_time(slot_str):
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"""Convert slot string like 'S2.05pm - 2.55pm' to time range in minutes"""
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match = re.search(r'S?(\d+\.\d+)(am|pm)?\s*-\s*(\d+\.\d+)(am|pm)?', slot_str, re.IGNORECASE)
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if not match:
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return None, None
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start_time_str, start_period, end_time_str, end_period = match.groups()
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def convert_to_minutes(time_str, period):
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time_str = time_str.replace('.', ':')
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if ':' in time_str:
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hours, minutes = map(int, time_str.split(':'))
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else:
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hours = int(time_str)
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minutes = 0
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if period and period.lower() == 'pm' and 1 <= hours <= 11:
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period = 'am'
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if period and period.lower() == 'pm' and hours != 12:
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hours += 12
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elif period and period.lower() == 'am' and hours == 12:
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hours = 0
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return hours * 60 + minutes
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start_minutes = convert_to_minutes(start_time_str, start_period)
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end_minutes = convert_to_minutes(end_time_str, end_period)
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return start_minutes, end_minutes
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def find_free_classrooms(day, time_str, df):
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"""Find free classrooms for a given day and time"""
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time_minutes = parse_time_input(time_str)
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if time_minutes is None:
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return "Invalid time format. Please use HH:MM format.", None
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day_data = df[df['Day'].str.lower() == day.lower()]
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if day_data.empty:
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return f"No data available for {day}.", None
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| 64 |
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free_classrooms = []
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occupied_classrooms = []
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for _, row in day_data.iterrows():
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start_minutes, end_minutes = parse_slot_time(row['Slot'])
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if start_minutes is None or end_minutes is None:
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continue
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if start_minutes <= time_minutes < end_minutes:
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subject = str(row['Subject'])
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if (pd.isna(subject) or subject.strip() == '' or subject == 'nan' or
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subject.lower() == 'break' or subject.lower() == 'mentor hour'):
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free_classrooms.append(f"{row['Department']} - {row['Block']} - {row['Classroom']} ({row['Slot']})")
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else:
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occupied_classrooms.append(f"{row['Department']} - {row['Block']} - {row['Classroom']}: {subject} ({row['Slot']})")
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return free_classrooms, occupied_classrooms
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| 81 |
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| 82 |
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# Load all timetable data once
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| 83 |
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csv_files = ['civil_timetable_neat.csv', 'datascience.csv', 'eee.csv']
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| 84 |
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df = load_timetable_data(csv_files)
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| 85 |
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def gradio_interface(day, time_str):
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| 87 |
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free_classrooms, occupied_classrooms = find_free_classrooms(day, time_str, df)
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| 88 |
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if isinstance(free_classrooms, str):
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return free_classrooms, ""
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| 90 |
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free_text = "\n".join(free_classrooms) if free_classrooms else "No free classrooms"
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| 91 |
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occupied_text = "\n".join(occupied_classrooms) if occupied_classrooms else "No occupied classrooms"
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| 92 |
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return free_text, occupied_text
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| 93 |
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| 94 |
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# Gradio UI
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| 95 |
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iface = gr.Interface(
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| 96 |
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fn=gradio_interface,
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| 97 |
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inputs=[
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| 98 |
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gr.Dropdown(choices=["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"], label="Day"),
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| 99 |
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gr.Textbox(label="Enter time (e.g., 8:00, 14:45)")
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| 100 |
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],
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| 101 |
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outputs=[
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| 102 |
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gr.Textbox(label="Free Classrooms"),
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| 103 |
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gr.Textbox(label="Occupied Classrooms")
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| 104 |
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],
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| 105 |
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title="Classroom Availability Finder",
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| 106 |
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description="Select a day and enter a time (HH:MM) to check free and occupied classrooms."
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| 107 |
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)
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| 108 |
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| 109 |
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if __name__ == "__main__":
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| 110 |
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iface.launch(server_name=" 0.0.0.0",server_port=7860,pwa=True,debug=True)
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