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Update app.py
Browse files
app.py
CHANGED
@@ -106,36 +106,66 @@ def collect_answers_and_calculate(*all_inputs):
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print(f"Received radio_values: {radio_values}") # Debug print
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print(f"Received quiz_data: {quiz_data}") # Debug print
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#
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user_answer_list = list(radio_values)
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correct_answers = [item.correct_answer for item in quiz_data.items[:10]]
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print(f"User answers: {user_answer_list}") # Debug print
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print(f"Correct answers: {correct_answers}") # Debug print
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# Calculate score - only count answered questions
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score = 0
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answered_questions = 0
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answered_questions += 1
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score += 1
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print(f"Calculated score: {score}/{answered_questions}") # Debug print
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if answered_questions == 0:
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-
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elif score == answered_questions:
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-
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elif score > answered_questions * 0.7:
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elif score > answered_questions * 0.5:
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-
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else:
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return
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# Define a colorful theme
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colorful_theme = gr.themes.Default(primary_hue="cyan", secondary_hue="yellow", neutral_hue="purple")
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@@ -166,8 +196,10 @@ with gr.Blocks(title="Quiz Maker", theme=colorful_theme) as QUIZBOT:
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# Pre-defined radio buttons for 10 questions
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question_radios = [gr.Radio(visible=False, label="", choices=[""], value=None) for _ in range(10)]
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quiz_data_state = gr.State(value=None)
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check_score_btn = gr.Button("Check Score")
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# Register the click event for Generate Quiz without @ decorator
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generate_quiz_btn.click(
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@@ -186,10 +218,205 @@ with gr.Blocks(title="Quiz Maker", theme=colorful_theme) as QUIZBOT:
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inputs=question_radios + [quiz_data_state], # This creates a list of 11 inputs
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outputs=[score_output],
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api_name="check_score"
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)
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if __name__ == "__main__":
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QUIZBOT.queue().launch(server_name="0.0.0.0", server_port=7860)
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# from pathlib import Path
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# from sentence_transformers import CrossEncoder
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# import numpy as np
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print(f"Received radio_values: {radio_values}") # Debug print
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print(f"Received quiz_data: {quiz_data}") # Debug print
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# Calculate score by comparing user answers with correct answers
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score = 0
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answered_questions = 0
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+
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for i, (user_answer, quiz_item) in enumerate(zip(radio_values, quiz_data.items[:10])):
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if user_answer is not None: # Only count if user answered
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answered_questions += 1
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# Convert correct answer code (e.g., 'C3') to actual choice text
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correct_answer_index = int(quiz_item.correct_answer[1]) - 1 # 'C3' -> index 2
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correct_answer_text = quiz_item.choices[correct_answer_index]
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print(f"Q{i+1}: User='{user_answer}' vs Correct='{correct_answer_text}'") # Debug
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if user_answer == correct_answer_text:
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score += 1
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print(f"Calculated score: {score}/{answered_questions}") # Debug print
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# Create colorful HTML message
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if answered_questions == 0:
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html_message = """
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<div style="text-align: center; padding: 20px; border-radius: 10px; background: linear-gradient(135deg, #ff6b6b, #ee5a24);">
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<h2 style="color: white; margin: 0;">⚠️ Please answer at least one question!</h2>
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</div>
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"""
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elif score == answered_questions:
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html_message = f"""
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<div style="text-align: center; padding: 20px; border-radius: 10px; background: linear-gradient(135deg, #00d2d3, #54a0ff); box-shadow: 0 4px 15px rgba(0,0,0,0.2);">
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<h1 style="color: white; margin: 0; text-shadow: 2px 2px 4px rgba(0,0,0,0.3);">🏆 PERFECT SCORE! 🏆</h1>
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<h2 style="color: #fff3cd; margin: 10px 0;">You got {score} out of {answered_questions} correct!</h2>
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<p style="color: white; font-size: 18px; margin: 0;">Outstanding performance! 🌟</p>
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</div>
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"""
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elif score > answered_questions * 0.7:
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html_message = f"""
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<div style="text-align: center; padding: 20px; border-radius: 10px; background: linear-gradient(135deg, #2ed573, #7bed9f); box-shadow: 0 4px 15px rgba(0,0,0,0.2);">
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<h1 style="color: white; margin: 0; text-shadow: 2px 2px 4px rgba(0,0,0,0.3);">🎉 EXCELLENT! 🎉</h1>
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<h2 style="color: #fff3cd; margin: 10px 0;">You got {score} out of {answered_questions} correct!</h2>
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<p style="color: white; font-size: 18px; margin: 0;">Great job! Keep it up! 💪</p>
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</div>
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"""
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elif score > answered_questions * 0.5:
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html_message = f"""
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<div style="text-align: center; padding: 20px; border-radius: 10px; background: linear-gradient(135deg, #ffa726, #ffcc02); box-shadow: 0 4px 15px rgba(0,0,0,0.2);">
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<h1 style="color: white; margin: 0; text-shadow: 2px 2px 4px rgba(0,0,0,0.3);">👍 GOOD JOB! 👍</h1>
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<h2 style="color: #fff3cd; margin: 10px 0;">You got {score} out of {answered_questions} correct!</h2>
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<p style="color: white; font-size: 18px; margin: 0;">Well done! Room for improvement! 📚</p>
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</div>
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"""
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else:
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html_message = f"""
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<div style="text-align: center; padding: 20px; border-radius: 10px; background: linear-gradient(135deg, #ff7675, #fd79a8); box-shadow: 0 4px 15px rgba(0,0,0,0.2);">
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<h1 style="color: white; margin: 0; text-shadow: 2px 2px 4px rgba(0,0,0,0.3);">💪 KEEP TRYING! 💪</h1>
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<h2 style="color: #fff3cd; margin: 10px 0;">You got {score} out of {answered_questions} correct!</h2>
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<p style="color: white; font-size: 18px; margin: 0;">Don't worry! Practice makes perfect! 📖✨</p>
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</div>
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"""
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return html_message
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# Define a colorful theme
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colorful_theme = gr.themes.Default(primary_hue="cyan", secondary_hue="yellow", neutral_hue="purple")
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# Pre-defined radio buttons for 10 questions
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question_radios = [gr.Radio(visible=False, label="", choices=[""], value=None) for _ in range(10)]
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quiz_data_state = gr.State(value=None)
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check_score_btn = gr.Button("Check Score", variant="primary", size="lg")
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# HTML output for colorful score display at bottom
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score_output = gr.HTML(visible=False, label="Your Results")
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# Register the click event for Generate Quiz without @ decorator
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generate_quiz_btn.click(
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inputs=question_radios + [quiz_data_state], # This creates a list of 11 inputs
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outputs=[score_output],
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api_name="check_score"
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).then(
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fn=lambda: gr.update(visible=True), # Make score output visible after calculation
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inputs=[],
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outputs=[score_output]
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)
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if __name__ == "__main__":
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QUIZBOT.queue().launch(server_name="0.0.0.0", server_port=7860)# import gradio as gr
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# from pathlib import Path
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# from sentence_transformers import CrossEncoder
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# import numpy as np
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# from time import perf_counter
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# from pydantic import BaseModel, Field
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# from phi.agent import Agent
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# from phi.model.groq import Groq
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# import os
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# import logging
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# # Set up logging
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# logging.basicConfig(level=logging.INFO)
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# logger = logging.getLogger(__name__)
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# # API Key setup
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# api_key = os.getenv("GROQ_API_KEY")
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# if not api_key:
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# gr.Warning("GROQ_API_KEY not found. Set it in 'Repository secrets'.")
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# logger.error("GROQ_API_KEY not found.")
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# else:
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# os.environ["GROQ_API_KEY"] = api_key
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# # Pydantic Model for Quiz Structure
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# class QuizItem(BaseModel):
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# question: str = Field(..., description="The quiz question")
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# choices: list[str] = Field(..., description="List of 4 multiple-choice options")
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# correct_answer: str = Field(..., description="The correct choice (e.g., 'C1')")
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# class QuizOutput(BaseModel):
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# items: list[QuizItem] = Field(..., description="List of 10 quiz items")
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# # Initialize Agents
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# groq_agent = Agent(model=Groq(model="llama3-70b-8192", api_key=api_key), markdown=True)
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# quiz_generator = Agent(
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# name="Quiz Generator",
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# role="Generates structured quiz questions and answers",
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# instructions=[
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# "Create 10 questions with 4 choices each based on the provided topic and documents.",
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# "Use the specified difficulty level (easy, average, hard) to adjust question complexity.",
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# "Ensure questions are derived only from the provided documents.",
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# "Return the output in a structured format using the QuizOutput Pydantic model.",
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# "Each question should have a unique correct answer from the choices (labeled C1, C2, C3, C4)."
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# ],
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# model=Groq(id="llama3-70b-8192", api_key=api_key),
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# response_model=QuizOutput,
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# markdown=True
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# )
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# VECTOR_COLUMN_NAME = "vector"
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# TEXT_COLUMN_NAME = "text"
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# proj_dir = Path.cwd()
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# # Calling functions from backend (assuming they exist)
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# from backend.semantic_search import table, retriever
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# def generate_quiz_data(question_difficulty, topic, documents_str):
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# prompt = f"""Generate a quiz with {question_difficulty} difficulty on topic '{topic}' using only the following documents:\n{documents_str}"""
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# try:
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# response = quiz_generator.run(prompt)
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# return response.content
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# except Exception as e:
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# logger.error(f"Failed to generate quiz: {e}")
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# return None
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# def retrieve_and_generate_quiz(question_difficulty, topic):
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# gr.Warning('Generating quiz may take 1-2 minutes. Please wait.', duration=60)
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# top_k_rank = 10
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# documents = []
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# document_start = perf_counter()
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# query_vec = retriever.encode(topic)
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# documents = [doc[TEXT_COLUMN_NAME] for doc in table.search(query_vec, vector_column_name=VECTOR_COLUMN_NAME).limit(top_k_rank).to_list()]
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# # Apply BGE reranker
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# cross_encoder = CrossEncoder('BAAI/bge-reranker-base')
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# query_doc_pair = [[topic, doc] for doc in documents]
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# cross_scores = cross_encoder.predict(query_doc_pair)
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# sim_scores_argsort = list(reversed(np.argsort(cross_scores)))
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# documents = [documents[idx] for idx in sim_scores_argsort[:top_k_rank]]
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# documents_str = '\n'.join(documents)
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# quiz_data = generate_quiz_data(question_difficulty, topic, documents_str)
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# return quiz_data
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# def update_quiz_components(quiz_data):
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# if not quiz_data or not quiz_data.items:
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# return [gr.update(visible=False) for _ in range(10)] + [gr.update(value="Error: Failed to generate quiz.", visible=True)]
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# radio_updates = []
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# for i, item in enumerate(quiz_data.items[:10]):
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# choices = item.choices
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# radio_update = gr.update(visible=True, choices=choices, label=item.question, value=None)
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# radio_updates.append(radio_update)
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# return radio_updates + [gr.update(value="Please select answers and click 'Check Score'.", visible=True)]
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# # FIXED FUNCTION: Changed parameter signature to accept all arguments positionally
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# def collect_answers_and_calculate(*all_inputs):
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# print(f"Total inputs received: {len(all_inputs)}") # Debug print
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# # The last input is quiz_data, the first 10 are radio values
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# radio_values = all_inputs[:10] # First 10 inputs are radio button values
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# quiz_data = all_inputs[10] # Last input is quiz_data
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# print(f"Received radio_values: {radio_values}") # Debug print
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# print(f"Received quiz_data: {quiz_data}") # Debug print
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# # Filter out None values but keep track of positions
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# user_answer_list = list(radio_values)
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# correct_answers = [item.correct_answer for item in quiz_data.items[:10]]
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# print(f"User answers: {user_answer_list}") # Debug print
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# print(f"Correct answers: {correct_answers}") # Debug print
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# # Calculate score - only count answered questions
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# score = 0
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# answered_questions = 0
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# for u, c in zip(user_answer_list, correct_answers):
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# if u is not None: # Only count if user answered
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# answered_questions += 1
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# if u == c:
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# score += 1
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# print(f"Calculated score: {score}/{answered_questions}") # Debug print
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# if answered_questions == 0:
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# message = "### Please answer at least one question!"
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# elif score == answered_questions:
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# message = f"### Perfect! You got {score} out of {answered_questions} correct!"
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# elif score > answered_questions * 0.7:
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# message = f"### Excellent! You got {score} out of {answered_questions} correct!"
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# elif score > answered_questions * 0.5:
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# message = f"### Good! You got {score} out of {answered_questions} correct!"
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# else:
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# message = f"### You got {score} out of {answered_questions} correct! Don't worry. You can prepare well and try better next time!"
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# return message
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# # Define a colorful theme
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# colorful_theme = gr.themes.Default(primary_hue="cyan", secondary_hue="yellow", neutral_hue="purple")
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# with gr.Blocks(title="Quiz Maker", theme=colorful_theme) as QUIZBOT:
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+
# # Create a single row for the HTML and Image
|
372 |
+
# with gr.Row():
|
373 |
+
# with gr.Column(scale=2):
|
374 |
+
# gr.Image(value='logo.png', height=200, width=200)
|
375 |
+
# with gr.Column(scale=6):
|
376 |
+
# gr.HTML("""
|
377 |
+
# <center>
|
378 |
+
# <h1><span style="color: purple;">GOVERNMENT HIGH SCHOOL,SUTHUKENY</span> STUDENTS QUIZBOT </h1>
|
379 |
+
# <h2>Generative AI-powered Capacity building for STUDENTS</h2>
|
380 |
+
# <i>⚠️ Students can create quiz from any topic from 10th Science and evaluate themselves! ⚠️</i>
|
381 |
+
# </center>
|
382 |
+
# """)
|
383 |
+
|
384 |
+
# topic = gr.Textbox(label="Enter the Topic for Quiz", placeholder="Write any CHAPTER NAME")
|
385 |
+
|
386 |
+
# with gr.Row():
|
387 |
+
# difficulty_radio = gr.Radio(["easy", "average", "hard"], label="How difficult should the quiz be?")
|
388 |
+
# model_radio = gr.Radio(choices=['(ACCURATE) BGE reranker'], value='(ACCURATE) BGE reranker', label="Embeddings")
|
389 |
+
|
390 |
+
# generate_quiz_btn = gr.Button("Generate Quiz!🚀")
|
391 |
+
# quiz_msg = gr.Textbox(label="Status", interactive=False)
|
392 |
+
|
393 |
+
# # Pre-defined radio buttons for 10 questions
|
394 |
+
# question_radios = [gr.Radio(visible=False, label="", choices=[""], value=None) for _ in range(10)]
|
395 |
+
# quiz_data_state = gr.State(value=None)
|
396 |
+
# check_score_btn = gr.Button("Check Score")
|
397 |
+
# score_output = gr.Markdown(visible=False)
|
398 |
+
|
399 |
+
# # Register the click event for Generate Quiz without @ decorator
|
400 |
+
# generate_quiz_btn.click(
|
401 |
+
# fn=retrieve_and_generate_quiz,
|
402 |
+
# inputs=[difficulty_radio, topic],
|
403 |
+
# outputs=[quiz_data_state]
|
404 |
+
# ).then(
|
405 |
+
# fn=update_quiz_components,
|
406 |
+
# inputs=[quiz_data_state],
|
407 |
+
# outputs=question_radios + [quiz_msg]
|
408 |
+
# )
|
409 |
+
|
410 |
+
# # FIXED: Register the click event for Check Score with correct input handling
|
411 |
+
# check_score_btn.click(
|
412 |
+
# fn=collect_answers_and_calculate,
|
413 |
+
# inputs=question_radios + [quiz_data_state], # This creates a list of 11 inputs
|
414 |
+
# outputs=[score_output],
|
415 |
+
# api_name="check_score"
|
416 |
+
# )
|
417 |
+
|
418 |
+
# if __name__ == "__main__":
|
419 |
+
# QUIZBOT.queue().launch(server_name="0.0.0.0", server_port=7860)
|
420 |
# from pathlib import Path
|
421 |
# from sentence_transformers import CrossEncoder
|
422 |
# import numpy as np
|