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import gradio as gr
import random
from backend.utils import (
generate_quiz,
get_closed_book_answers,
get_web_rag_answers_and_snippets,
)
def goto_llm_tab():
return gr.Tabs(selected="llm_tab")
def populate_quiz(quiz, url):
quiz = None
max_tries = 2
tries = 0
while quiz is None and tries < max_tries:
try:
quiz = generate_quiz(url)
except:
tries += 1
quiz_header = gr.Markdown("## 📝 Quiz")
options, md_blocks = [], []
for i in range(5):
option = gr.Radio(
value=None,
choices=quiz["questions"][i]["options"],
interactive=True,
label=quiz["questions"][i]["question"],
visible=True,
)
options.append(option)
md_blocks.append(gr.Markdown(visible=False))
submit_btn = gr.Button(value="Submit", variant="primary", visible=True)
let_llm_play_btn = gr.Button(visible=True, value="🤖 Let the LLM play 🎮")
score_label = gr.Label(visible=False)
llm_tab = gr.TabItem("🤖 Let the LLM play 🎮", id="llm_tab", visible=True)
closed_book_btn = gr.Button(value="Try", visible=True, variant="primary")
closed_score_label = gr.Label("Results")
closed_book_accordion = gr.Accordion(visible=False)
web_rag_btn = gr.Button(value="Try", visible=True, variant="primary")
web_score_label = gr.Label("Results")
web_rag_accordion = gr.Accordion(visible=False)
return (
quiz,
quiz_header,
*options,
*md_blocks,
submit_btn,
let_llm_play_btn,
score_label,
llm_tab,
closed_book_btn,
closed_score_label,
closed_book_accordion,
web_rag_btn,
web_score_label,
web_rag_accordion,
)
def compute_display_results(quiz, answer0, answer1, answer2, answer3, answer4):
md_blocks = []
score = 0
for i, answer in enumerate([answer0, answer1, answer2, answer3, answer4]):
right_option = quiz["questions"][i]["right_option"]
if isinstance(answer, str) and answer[0] == right_option:
score += 1
md_blocks.append(gr.Markdown("Correct", visible=True))
else:
md_blocks.append(
gr.Markdown("Wrong. Correct answer: " + right_option, visible=True)
)
score = score / 5
score_label = gr.Label(
f"Your score is {score*100}%", visible=True, show_label=False
)
options = []
for i in range(5):
option = gr.Radio(
choices=quiz["questions"][i]["options"],
interactive=False,
label=quiz["questions"][i]["question"],
visible=True,
)
options.append(option)
submit_btn = gr.Button(visible=False)
return score_label, *md_blocks, *options, submit_btn
def compute_display_closed_book(quiz):
answers = get_closed_book_answers(quiz)
details = ""
score = 0
for i, answer in enumerate(answers):
details += f"**Question**: {quiz['questions'][i]['question']}\n\n"
details += f"**Answer from LLM**: {quiz['questions'][i]['options'][ord(answer) - ord('a')]}\n\n"
details += f"**Correct answer**: {quiz['questions'][i]['options'][ord(quiz['questions'][i]['right_option']) - ord('a')]}\n\n"
details += "---\n\n"
if answer == quiz["questions"][i]["right_option"]:
score += 1
score = score / 5
closed_book_label = gr.Label(
f"LLM closed book score is {score*100}%", visible=True, show_label=False
)
closed_book_btn = gr.Button(visible=False)
closed_book_accordion = gr.Accordion("Details", visible=True, open=False)
closed_book_details = gr.Markdown(details, visible=True)
return (
closed_book_label,
closed_book_btn,
closed_book_accordion,
closed_book_details,
)
def compute_display_web_rag(quiz):
answers, snippets = get_web_rag_answers_and_snippets(quiz)
details = ""
score = 0
for i, answer in enumerate(answers):
details += f"**Question**: {quiz['questions'][i]['question']}\n\n"
details += f"**Answer from LLM**: {quiz['questions'][i]['options'][ord(answer) - ord('a')]}\n\n"
details += f"**Correct answer**: {quiz['questions'][i]['options'][ord(quiz['questions'][i]['right_option']) - ord('a')]}\n\n"
details += f"**Top 3 snippets from Google search**:\n\n"
for snippet in snippets[i]:
details += f"- {snippet}\n"
details += "---\n\n"
if answer == quiz["questions"][i]["right_option"]:
score += 1
score = score / 5
web_rag_label = gr.Label(
f"LLM Web RAG score is {score*100}%", visible=True, show_label=False
)
web_rag_btn = gr.Button(visible=False)
web_rag_accordion = gr.Accordion("Details", visible=True, open=False)
web_rag_details = gr.Markdown(details, visible=True)
return web_rag_label, web_rag_btn, web_rag_accordion, web_rag_details
# Gradio app
HEADER = """
<div align="center">
<p style="font-size: 44px;">🧑🏫 AutoQuizzer</p>
<p style="font-size: 25px;">AutoQuizzer generates a quiz from a URL. You can play the quiz, or let the LLM play it.</p>
<p style="font-size: 20px;"><b><a href="https://www.youtube.com/watch?v=C1oJ1ArYYZA)">🎬 Project walkthrough video</a> - Built using: <a href="https://haystack.deepset.ai/">🏗️ Haystack</a> • 🦙 Llama 3 8B Instruct • ⚡ Groq</b></p>
</div>
"""
URL_EXAMPLES = [
"https://www.rainforest-alliance.org/species/capybara/",
"https://en.wikipedia.org/wiki/Predator_(film)",
"https://lite.cnn.com/2024/04/22/entertainment/zendaya-challengers-interview/index.html",
"https://en.wikipedia.org/wiki/The_Cure",
"https://en.wikipedia.org/wiki/Masters_of_Doom",
"https://www.rainforest-alliance.org/species/howler-monkey/",
"https://lite.cnn.com/2024/05/23/travel/star-wars-hotel-disney-jenny-nicholson-cec/index.html",
"https://en.wikipedia.org/wiki/Indiana_Jones_(character)",
"https://www.rainforest-alliance.org/species/river-dolphin/",
"https://www.rainforest-alliance.org/species/sloth/",
"https://www.rainforest-alliance.org/species/honduran-bat/",
"https://en.wikipedia.org/wiki/Joel_Breman",
"https://en.wikipedia.org/wiki/Neffa",
"https://lite.cnn.com/2024/05/25/us/primate-escape-walterboro-south-carolina/index.html",
"https://en.wikipedia.org/wiki/John_McCain",
"https://lite.cnn.com/2024/05/17/tech/neuralink-trial-participant-elon-musk-noland-arbaugh/index.html",
"https://lite.cnn.com/2024/05/17/tech/ai-high-school/index.html",
"https://en.wikipedia.org/wiki/Drake%E2%80%93Kendrick_Lamar_feud",
"https://en.wikipedia.org/wiki/Fiat_Panda",
"https://lite.cnn.com/2024/05/13/tech/openai-altman-new-ai-model-gpt-4o/index.html",
]
examples_to_show = [URL_EXAMPLES[0]] + random.sample(URL_EXAMPLES[1:], 6)
with open("README.md", "r") as fin:
info_md = (
fin.read()
.split("<!--- Include in Info tab -->")[-1]
.replace("autoquizzer.png", "/file=autoquizzer.png")
)
with gr.Blocks(
theme=gr.themes.Soft(primary_hue="sky"), css="footer{display:none !important}"
) as demo:
gr.Markdown(HEADER)
quiz = gr.State({})
with gr.Tabs() as tabs:
with gr.TabItem("Generate quiz and play"):
with gr.Row():
url = gr.Textbox(
label="URL from which to generate a quiz",
value=examples_to_show[0],
interactive=True,
max_lines=1,
)
generate_quiz_btn = gr.Button(
value="Generate quiz", variant="primary", scale=0
)
examples = gr.Examples(
examples=examples_to_show,
inputs=[url],
label=["Example URLs"],
)
quiz_header = gr.Markdown("## 📝 Quiz")
with gr.Row():
options0 = gr.Radio(visible=False)
mdblock0 = gr.Markdown(visible=False)
with gr.Row():
options1 = gr.Radio(visible=False)
mdblock1 = gr.Markdown(visible=False)
with gr.Row():
options2 = gr.Radio(visible=False)
mdblock2 = gr.Markdown(visible=False)
with gr.Row():
options3 = gr.Radio(visible=False)
mdblock3 = gr.Markdown(visible=False)
with gr.Row():
options4 = gr.Radio(visible=False)
mdblock4 = gr.Markdown(visible=False)
with gr.Row():
submit_btn = gr.Button(visible=False)
let_llm_play_btn = gr.Button(visible=False)
with gr.Row():
score_label = gr.Label(visible=False)
with gr.TabItem(id="llm_tab", visible=False) as llm_tab:
gr.Markdown("## 📕 Closed book exam")
gr.Markdown(
"Llama3 is given only the topic and questions. It will answer based on its parametric knowledge and reasoning abilities."
)
closed_book_btn = gr.Button(visible=False)
closed_score_label = gr.Label("Results", show_label=False)
with gr.Accordion(visible=False) as closed_book_accordion:
md_closed_book_details = gr.Markdown(visible=False)
gr.Markdown("## 🔎🌐 Web RAG")
gr.Markdown(
"The top 3 snippets from Google search are included in the prompt."
)
web_rag_btn = gr.Button(visible=False)
web_score_label = gr.Label("Results", show_label=False)
with gr.Accordion(visible=False) as web_rag_accordion:
md_web_rag_details = gr.Markdown(visible=False)
with gr.TabItem("ℹ️ Info", id="info") as info_tab:
gr.Markdown(info_md)
closed_book_btn.click(
fn=compute_display_closed_book,
inputs=[quiz],
outputs=[
closed_score_label,
closed_book_btn,
closed_book_accordion,
md_closed_book_details,
],
)
web_rag_btn.click(
fn=compute_display_web_rag,
inputs=[quiz],
outputs=[
web_score_label,
web_rag_btn,
web_rag_accordion,
md_web_rag_details,
],
)
generate_quiz_btn.click(
fn=populate_quiz,
inputs=[quiz, url],
outputs=[
quiz,
quiz_header,
options0,
options1,
options2,
options3,
options4,
mdblock0,
mdblock1,
mdblock2,
mdblock3,
mdblock4,
submit_btn,
let_llm_play_btn,
score_label,
llm_tab,
closed_book_btn,
closed_score_label,
closed_book_accordion,
web_rag_btn,
web_score_label,
web_rag_accordion,
],
)
submit_btn.click(
fn=compute_display_results,
inputs=[quiz, options0, options1, options2, options3, options4],
outputs=[
score_label,
mdblock0,
mdblock1,
mdblock2,
mdblock3,
mdblock4,
options0,
options1,
options2,
options3,
options4,
submit_btn,
],
)
let_llm_play_btn.click(fn=goto_llm_tab, inputs=[], outputs=tabs)
demo.queue(default_concurrency_limit=5).launch(
show_api=False,
server_name="0.0.0.0",
allowed_paths=["/"],
)
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