Optimizing Classroom Time: Using Lyzr-Automata to Generate Effective Timetables

# Subjects
subjects_input = st.text_area(
“SUBJECTS“,
”’Mathematics
Science
English
Social Studies
History
Geography
Physical Education
Computer
Art
Music”’
)

# Constraints
constraints_input = st.text_area(
“CONSTRAINTS“,
”’1. Mathematics – 5 classes a week
2. Science – 5 classes a week
3. English – 4 classes a week
4. Social Studies – 4 classes a week
5. History – 3 classes a week
6. Geography – 3 classes a week
7. Physical Education – 4 classes a week
8. Computer – 5 classes a week
9. Art – 2 class a week
10. Music – 2 class a week
11. Each classroom is allocated once per time slot on any given day.
12. Same subjects cannot be assigned consecutively”’
)

# Submit button
submit_inputs = st.button(“Submit“, type=“primary“)

my_file.write(“SUBJECTS“)
my_file.write(“n n“)
my_file.write(subjects_input)
my_file.write(“n n“)

my_file.write(“CONSTRAINTS“)
my_file.write(“n n“)
my_file.write(constraints_input)

# Call timetable generator
generate_basic_timetable()

# Read and display from result file
with open(“example_result.txt“, “r“) as my_file:
content = my_file.read()

st.write(content)

from dotenv import load_dotenv
import os

load_dotenv()

OPENAI_API_KEY = os.getenv(“OPENAI_API_KEY“)

# OpenAI Memory file
timetable_memory = OpenAIMemory(
file_path=‘example_slot.txt‘
)

# Timetable generator Agent
timetable_agent = Agent(
prompt_persona=“You are an intelligent agent that can create efficient class timetables for a week in a simple, structured format. Do not assign more classes than required, assign free slots instead. Generate timetable for every day from Monday to Friday.“,
role=“Timetable creator“,
memory=timetable_memory
)

# Timetable generator Task
timetable_task = Task(
name=“Timetable Creator“,
agent=timetable_agent,
output_type=OutputType.TEXT,
input_type=InputType.TEXT,
model=open_ai_model_text,
instructions=“Using the time slots, subject details and requirements, create a timetable that satisfies every constraint. Return the timetable in a simple format and a count of number of classes scheduled for each subject.“,
log_output=True,
enhance_prompt=False,
).execute()

# Save output to a file
with open(“example_result.txt“, “w“) as my_file:
my_file.write(“# GENERATED TIMETABLE – Timetable Agent“)
my_file.write(“n n“)
my_file.write(timetable_task)
my_file.write(“n“)

# Timetable verification Agent
timetable_checker_agent = Agent(
prompt_persona=“You are an intelligent agent that can verify if a generated timetable fulfills all the constraints or not. Make sure all classes meet the exact requirements; not more, not less.“,
role=“Timetable checker“,
memory=timetable_memory
)

# Timetable verification Task
timetable_checker_task = Task(
name=“Timetable Checker“,
agent=timetable_checker_agent,
output_type=OutputType.TEXT,
input_type=InputType.TEXT,
model=open_ai_model_text,
instructions=“Verify that the generated timetable input fulfills the requirements mentioned in the file. If VALID, return <!VALID!> and the timetable in a table format; If INVALID, return <!INVALID!> the reason why invalid. Do not return anything else.“,
log_output=True,
enhance_prompt=False,
previous_output=timetable_task
).execute()

# Save output to a file
with open(“example_result.txt“, “a“) as my_file:
my_file.write(“n n“)
my_file.write(“# GENERATED VERIFICATION – Verification Agent“)
my_file.write(“n n“)
my_file.write(timetable_checker_task)
my_file.write(“n“)