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Update app.py
Browse files
app.py
CHANGED
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@@ -1,71 +1,211 @@
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# ============================
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# ============================
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margin: auto;
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}
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h1, h2, h3 {
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text-align: center;
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}
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"""
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""
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file_count="multiple",
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label="π Upload PDF Books"
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value=10,
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precision=0
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score_display = gr.Markdown()
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timer_display = gr.Markdown()
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@@ -75,43 +215,26 @@ with gr.Blocks(title="Smart Quiz Generator", css=custom_css, theme=gr.themes.Sof
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endtime_state = gr.State()
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pdf_library_state = gr.State({})
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dash_btn = gr.Button("π Refresh Dashboard", variant="primary")
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dash_summary = gr.Markdown()
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dash_table = gr.Dataframe()
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download_btn = gr.Button("β¬ Download Results")
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download_file = gr.File()
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# ================= FOOTER =================
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gr.Markdown("""
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---
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π₯ Built by Muhammad Raza | Generative AI Engineer
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Transforming Education with AI
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""")
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# ---------------- EVENTS ----------------
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pdf_input.change(
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load_multiple_pdfs,
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inputs=pdf_input,
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outputs=[pdf_library_state, pdf_selector]
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)
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start_btn.click(
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prepare_quiz,
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inputs=[text_input, pdf_library_state, pdf_selector, num_questions, timer_minutes],
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outputs=[question_box, options_radio, score_display,
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quiz_state, index_state, score_state, endtime_state, timer_display]
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)
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submit_btn.click(
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submit_answer,
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inputs=[options_radio, quiz_state, index_state, score_state, endtime_state],
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outputs=[question_box, options_radio, score_display,
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quiz_state, index_state, score_state, endtime_state, timer_display]
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)
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dash_btn.click(get_dashboard, outputs=[dash_summary, dash_table])
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import gradio as gr
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import random
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import time
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import pandas as pd
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from PyPDF2 import PdfReader
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# ============================
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# GLOBALS
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# ============================
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quiz_history = []
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# ============================
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# Extract sentences
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# ============================
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def extract_sentences(text):
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sentences = [s.strip() for s in text.split(".") if len(s.strip()) > 20]
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return sentences
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# ============================
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# Generate quiz
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# ============================
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def generate_quiz(text, num_questions):
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try:
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num_questions = int(num_questions)
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if num_questions <= 0:
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num_questions = 10
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except:
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num_questions = 10
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sentences = extract_sentences(text)
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if len(sentences) == 0:
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return [], "β Not enough content to generate quiz."
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selected = [random.choice(sentences) for _ in range(num_questions)]
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quiz = []
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for s in selected:
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words = s.split()
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if len(words) < 6:
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continue
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answer = random.choice(words)
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question = s.replace(answer, "_____")
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options = list(set(words))
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random.shuffle(options)
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options = options[:3]
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options.append(answer)
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random.shuffle(options)
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quiz.append({
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"question": question,
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"options": options,
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"answer": answer
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})
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return quiz, f"β
Generated {len(quiz)} questions successfully!"
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# ============================
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# Display quiz
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# ============================
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def show_quiz(quiz):
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output = ""
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for i, q in enumerate(quiz):
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output += f"\nQ{i+1}. {q['question']}\n"
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for opt in q["options"]:
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output += f" β’ {opt}\n"
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return output
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# ============================
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# Submit answer
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# ============================
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def submit_answer(selected, quiz, index, score, end_time):
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if quiz is None or len(quiz) == 0:
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return "β Generate quiz first!", None, None, None, None, None, None, ""
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if index >= len(quiz):
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return "β
Quiz Finished!", None, None, None, None, None, None, ""
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if selected == quiz[index]["answer"]:
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score += 1
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index += 1
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return show_question(quiz, index, score, end_time)
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# ============================
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# Show question
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# ============================
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def show_question(quiz, index, score, end_time):
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if quiz is None or len(quiz) == 0:
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return "β No quiz found.", None, None, None, None, None, None, ""
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if index >= len(quiz) or time.time() > end_time:
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percent = (score / len(quiz)) * 100
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quiz_history.append({
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"Score": score,
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"Total": len(quiz),
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"Percentage": round(percent, 2),
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"Time": time.strftime("%H:%M:%S")
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})
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return (f"β
Quiz Finished! Score: {score}/{len(quiz)} ({percent:.1f}%)",
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None, None, None, None, None, None, "")
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q = quiz[index]
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remaining = int(end_time - time.time())
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return (
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f"### Question {index+1}:\n\n{q['question']}",
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gr.update(choices=q["options"], value=None),
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f"Score: {score}",
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quiz,
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index,
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score,
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end_time,
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f"β³ Time Left: {remaining} seconds"
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)
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# ============================
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# Prepare quiz (text or PDF)
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# ============================
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def prepare_quiz(text, pdf_library, selected_pdf, num_questions, timer_minutes):
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if selected_pdf and selected_pdf in pdf_library:
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text = pdf_library[selected_pdf]
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if not text or text.strip() == "":
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return "β οΈ Provide text or select a PDF.", None, None, None, None, None, None, ""
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try:
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timer_minutes = float(timer_minutes)
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if timer_minutes <= 0:
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timer_minutes = 10
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except:
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timer_minutes = 10
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quiz, msg = generate_quiz(text, num_questions)
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end_time = time.time() + timer_minutes*60
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return show_question(quiz, 0, 0, end_time)
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# ============================
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# Load multiple PDFs
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# ============================
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def load_multiple_pdfs(files):
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if files is None:
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return {}, gr.update(choices=[])
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pdf_texts = {}
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names = []
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for file in files:
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try:
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text = ""
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with open(file.name, "rb") as f:
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pdf = PdfReader(f)
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for page in pdf.pages:
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page_text = page.extract_text()
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if page_text:
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text += page_text + " "
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name = file.name.split("/")[-1]
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pdf_texts[name] = text.strip()
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names.append(name)
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except Exception as e:
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print("PDF Error:", e)
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return pdf_texts, gr.update(choices=names, value=names[0] if names else None)
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# ============================
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# Dashboard summary
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# ============================
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def get_dashboard():
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if not quiz_history:
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return "No attempts yet.", None
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df = pd.DataFrame(quiz_history)
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summary = f"""
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### π Performance Summary
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Attempts: {len(df)}
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Best Score: {df['Percentage'].max():.1f}%
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Average Score: {df['Percentage'].mean():.1f}%
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"""
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return summary, df
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# ============================
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# Save CSV
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# ============================
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def save_results():
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if not quiz_history:
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return None
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df = pd.DataFrame(quiz_history)
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file = "quiz_results.csv"
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df.to_csv(file, index=False)
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return file
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# ============================
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# GRADIO UI
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# ============================
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with gr.Blocks(title="Smart Quiz Generator") as app:
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gr.Markdown("# π§ Smart Quiz Generator")
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with gr.Tabs():
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with gr.Tab("π Take Quiz"):
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text_input = gr.Textbox(lines=6, label="Paste Study Material")
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pdf_input = gr.File(file_types=[".pdf"], file_count="multiple", label="Upload PDFs")
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pdf_selector = gr.Dropdown(label="Select Book", choices=[])
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with gr.Tabs():
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with gr.Tab("β Select Objectives"):
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num_questions = gr.Number(label="Number of Questions (No Limit)", value=10, precision=0)
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with gr.Tab("β± Select Time"):
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timer_minutes = gr.Number(label="Quiz Duration in Minutes (No Limit)", value=10)
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start_btn = gr.Button("Start Quiz")
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question_box = gr.Markdown()
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options_radio = gr.Radio(label="Choose Answer")
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submit_btn = gr.Button("Submit Answer")
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score_display = gr.Markdown()
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timer_display = gr.Markdown()
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endtime_state = gr.State()
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pdf_library_state = gr.State({})
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with gr.Tab("π Dashboard"):
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dash_btn = gr.Button("Refresh Dashboard")
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dash_summary = gr.Markdown()
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dash_table = gr.Dataframe()
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download_btn = gr.Button("Download Results")
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download_file = gr.File()
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# ---------------- EVENTS ----------------
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pdf_input.change(load_multiple_pdfs, inputs=pdf_input, outputs=[pdf_library_state, pdf_selector])
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start_btn.click(
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prepare_quiz,
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inputs=[text_input, pdf_library_state, pdf_selector, num_questions, timer_minutes],
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outputs=[question_box, options_radio, score_display, quiz_state, index_state, score_state, endtime_state, timer_display]
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)
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submit_btn.click(
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submit_answer,
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inputs=[options_radio, quiz_state, index_state, score_state, endtime_state],
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outputs=[question_box, options_radio, score_display, quiz_state, index_state, score_state, endtime_state, timer_display]
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)
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dash_btn.click(get_dashboard, outputs=[dash_summary, dash_table])
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