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from __future__ import annotations
from pathlib import Path
import gradio as gr
from typing import Any, Callable
import contextvars
from uw_programmatic.uw_machine import UWMachine
from dotenv import load_dotenv
import os
def run_with_context(func: Callable) -> Callable:
ctx = contextvars.copy_context()
def wrapper(*args, **kwargs) -> Any:
return ctx.run(func, *args, **kwargs)
return wrapper
def generate_questions(
page_lower, page_higher, question_number, taxonomy
) -> tuple[str, dict[str, Any],dict[str, Any]]:
if machine.value and machine.value.current_state_value == "start":
machine.value.start_machine() # Start the machine!
if not question_number or question_number <= 0:
msg = "Choose a valid question number."
raise gr.Error(msg)
if not page_lower or not page_higher or page_higher < page_lower:
msg = "Choose a valid page range."
raise gr.Error(msg)
if page_higher - page_lower <= 6:
msg = "Page range must be >6."
raise gr.Error(msg)
if not taxonomy or len(taxonomy) == 0:
msg = "Choose at least one taxonomy."
raise gr.Error(msg)
try:
machine.value.send(
"process_event",
event_={
"type": "user_input",
"value": {
"page_range": (page_lower, page_higher),
"question_number": question_number,
"taxonomy": taxonomy,
},
},
)
except AttributeError:
create_statemachine()
machine.value.start_machine()
machine.value.send(
"process_event",
event_={
"type": "user_input",
"value": {
"page_range": (page_lower, page_higher),
"question_number": question_number,
"taxonomy": taxonomy,
},
},
)
return (
"## Questions Ready for Download Below",
gr.update(
visible=True, value=f"{Path.cwd().joinpath('outputs/professor_guide.csv')}"
),
gr.update(
visible=False
)
)
def create_statemachine() -> None:
# Creates GoapMachine from the config.yaml in current directory
cwd_path = Path.cwd() / "uw_programmatic"
config_path = cwd_path.joinpath(Path("config.yaml"))
try:
machine.value = UWMachine.from_config_file(config_path)
except Exception as e:
raise gr.Error(str(e)) from e
def questions_downloaded() -> dict[str,Any]:
return gr.update(interactive=True, visible=True)
with gr.Blocks() as demo:
gr.Markdown("# UW Quiz Generator")
machine = gr.State(value=None)
with gr.Row():
with gr.Column(scale=2):
taxonomy = gr.CheckboxGroup(
choices=["Knowledge", "Comprehension", "Application"],
label="Taxonomy",
value="Knowledge",
)
question_number = gr.Number(
minimum=1, maximum=15, label="Number of Questions", value=3
)
gr.Markdown("For Chapter 3 - Pages 88-309")
with gr.Row():
page_lower = gr.Number(
label="First Page", minimum=88, value=88, maximum=309
)
page_higher = gr.Number(
label="Last Page", minimum=88, value=309, maximum=309
)
start_button = gr.Button(value="Generate Questions")
with gr.Column(scale=1):
output = gr.Markdown("## Questions Not Ready for Download", visible=True)
download_professor = gr.DownloadButton(
label="Download Questions", visible=False
)
create_statemachine()
start_button.click(
fn=run_with_context(generate_questions),
inputs=[page_lower, page_higher, question_number, taxonomy],
outputs=[output, download_professor, start_button],
)
download_professor.click(
fn=run_with_context(questions_downloaded),
outputs=[start_button]
)
load_dotenv()
demo.launch(share=True, ssr_mode=False,
auth=(os.environ.get('HF_USERNAME',''),os.environ.get('HF_PASSWORD','')))
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