Create app.py

app.py

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+# Automatic Time Table Generation Agent (Genetic Algorithm)
+return "\n".join(lines)
+
+
+# Gradio app - interactive UI
+
+
+def parse_courses(text: str) -> List[Course]:
+# expects lines like: C1,T1,30
+lines = [l.strip() for l in text.splitlines() if l.strip()]
+out = []
+for ln in lines:
+parts = [p.strip() for p in ln.split(",")]
+if len(parts) >= 3:
+out.append(Course(parts[0], parts[1], int(parts[2])))
+return out
+
+
+def parse_rooms(text: str) -> List[Room]:
+# expects lines like: R1,40
+lines = [l.strip() for l in text.splitlines() if l.strip()]
+out = []
+for ln in lines:
+parts = [p.strip() for p in ln.split(",")]
+if len(parts) >= 2:
+out.append(Room(parts[0], int(parts[1])))
+return out
+
+
+
+
+def generate_handler(courses_text, rooms_text, pop_size, generations, mutation_rate):
+courses = parse_courses(courses_text)
+rooms = parse_rooms(rooms_text)
+if not courses:
+courses = DEFAULT_COURSES
+if not rooms:
+rooms = DEFAULT_ROOMS
+
+
+best = run_ga(courses, rooms, int(pop_size), int(generations), elite_frac=0.05, mutation_rate=float(mutation_rate))
+score, genome = best
+timetable = format_timetable(genome)
+# Also return a compact list
+assignments = "\n".join([f"{c}@{DAYS[d]} S{slot+1} in {r}" for c,d,slot,r in genome])
+return f"Fitness: {score}\n\nTimetable:\n{timetable}", assignments
+
+
+with gr.Blocks(title="Automatic Time Table Generation Agent (Genetic Algorithm)") as demo:
+gr.Markdown("# Automatic Time Table Generation Agent (Genetic Algorithm)")
+with gr.Row():
+with gr.Column(scale=2):
+courses_input = gr.Textbox(lines=8, label="Courses (format: id,teacher,size)" , value='\n'.join([f"{c.id},{c.teacher},{c.size}" for c in DEFAULT_COURSES]))
+rooms_input = gr.Textbox(lines=6, label="Rooms (format: id,capacity)", value='\n'.join([f"{r.id},{r.capacity}" for r in DEFAULT_ROOMS]))
+pop_size = gr.Slider(10, 500, value=200, step=10, label="Population Size")
+generations = gr.Slider(10, 1000, value=200, step=10, label="Generations")
+mutation_rate = gr.Slider(0.0, 1.0, value=0.1, step=0.01, label="Mutation Rate")
+run_btn = gr.Button("Generate Timetable")
+with gr.Column(scale=1):
+out_text = gr.Textbox(lines=20, label="Result (timetable)")
+out_assign = gr.Textbox(lines=12, label="Assignments (compact)")
+
+
+run_btn.click(generate_handler, inputs=[courses_input, rooms_input, pop_size, generations, mutation_rate], outputs=[out_text, out_assign])
+
+
+if __name__ == "__main__":
+demo.launch(server_name="0.0.0.0", server_port=7860)