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Update app.py
Browse files
app.py
CHANGED
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@@ -16,16 +16,10 @@ class QuizApp:
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self.current_questions = []
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def generate_questions(self, text, num_questions):
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prompt = f"""Create {num_questions} multiple choice questions based on this text:
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{text}
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1. Have a clear, concise question text
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2. Have exactly 4 options
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3. Have only one correct answer
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4. Be educational and test understanding
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Return in this exact JSON format:
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[
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{{
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"question": "What is the main topic discussed?",
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@@ -36,26 +30,92 @@ class QuizApp:
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"Wrong answer 3"
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],
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"correct_answer": 0
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}}
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]
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try:
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response = client.chat.completions.create(
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messages=[
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{
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],
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model="llama-3.2-3b-preview",
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temperature=0.5,
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max_tokens=2048
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)
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response_text = response.choices[0].message.content.strip()
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response_text = response_text.replace("```json", "").replace("```", "").strip()
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questions = json.loads(response_text)
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except Exception as e:
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print(f"Error generating questions: {e}")
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@@ -135,19 +195,28 @@ def create_quiz_interface():
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value="Professional Assessment Certification"
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)
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certificate_display = gr.Image(label="Your Certificate")
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def update_questions(text, num_questions):
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success, questions = quiz_app.generate_questions(text, num_questions)
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if not success:
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return (
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gr.update(value="Failed to generate questions. Please try again."),
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*[gr.update(visible=False, choices=[]) for _ in range(5)],
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0
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)
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# Update question display
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questions_html = ""
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for i, q in enumerate(questions, 1):
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questions_html += f"### Question {i}\n{q['question']}\n\n"
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@@ -158,13 +227,15 @@ def create_quiz_interface():
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updates.append(gr.update(
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visible=True,
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choices=questions[i]["options"],
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value=None
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))
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else:
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updates.append(gr.update(visible=False, choices=[]))
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return (gr.update(value=questions_html), *updates, questions, 1)
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def submit_quiz(q1, q2, q3, q4, q5, questions):
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answers = [q1, q2, q3, q4, q5][:len(questions)]
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score = quiz_app.calculate_score(answers)
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self.current_questions = []
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def generate_questions(self, text, num_questions):
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prompt = f"""Create exactly {num_questions} multiple choice questions based on this text:
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{text}
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Format your response EXACTLY like this example:
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[
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{{
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"question": "What is the main topic discussed?",
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"Wrong answer 3"
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],
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"correct_answer": 0
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}},
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{{
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"question": "Another question here?",
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"options": [
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"Correct answer",
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"Wrong answer 1",
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"Wrong answer 2",
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"Wrong answer 3"
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],
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"correct_answer": 0
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}}
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]
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Important:
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- Return ONLY the JSON array
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- Each question must have exactly 4 options
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- correct_answer must be the index (0-3) of the correct option
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- Do not add any explanation or additional text
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"""
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try:
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response = client.chat.completions.create(
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messages=[
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{
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"role": "system",
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"content": "You are a quiz generator that creates clear, single-choice questions. Always respond with valid JSON array only."
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},
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{
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"role": "user",
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"content": prompt
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}
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],
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model="llama-3.2-3b-preview",
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temperature=0.5,
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max_tokens=2048
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)
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# Clean up the response
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response_text = response.choices[0].message.content.strip()
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# Remove any markdown formatting or additional text
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response_text = response_text.replace("```json", "").replace("```", "").strip()
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# Ensure response starts with [ and ends with ]
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response_text = response_text[response_text.find("["):response_text.rfind("]")+1]
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print("Generated response:", response_text) # Debug print
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# Parse and validate questions
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questions = json.loads(response_text)
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if not isinstance(questions, list):
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raise ValueError("Response is not a list")
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# Validate each question
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validated_questions = []
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for q in questions:
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if not isinstance(q, dict):
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continue
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if not all(key in q for key in ["question", "options", "correct_answer"]):
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continue
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if not isinstance(q["options"], list) or len(q["options"]) != 4:
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continue
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if not isinstance(q["correct_answer"], int) or q["correct_answer"] not in range(4):
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continue
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validated_questions.append(q)
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if not validated_questions:
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raise ValueError("No valid questions generated")
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self.current_questions = validated_questions
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return True, validated_questions
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except json.JSONDecodeError as e:
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print(f"JSON parsing error: {e}")
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# Return a default question for testing/debugging
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default_questions = [{
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"question": "Sample question (Error occurred in generation)",
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"options": [
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"Option 1",
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"Option 2",
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"Option 3",
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"Option 4"
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],
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"correct_answer": 0
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}]
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self.current_questions = default_questions
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return True, default_questions
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except Exception as e:
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print(f"Error generating questions: {e}")
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value="Professional Assessment Certification"
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)
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certificate_display = gr.Image(label="Your Certificate")
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def update_questions(text, num_questions):
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if not text.strip():
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return (
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gr.update(value="Please enter some text content to generate questions."),
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*[gr.update(visible=False, choices=[]) for _ in range(5)],
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[],
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0
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)
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success, questions = quiz_app.generate_questions(text, num_questions)
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if not success or not questions:
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return (
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gr.update(value="Failed to generate questions. Please try again with different content."),
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*[gr.update(visible=False, choices=[]) for _ in range(5)],
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[],
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0
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)
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# Update question display
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questions_html = "### Answer all questions below:\n\n"
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for i, q in enumerate(questions, 1):
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questions_html += f"### Question {i}\n{q['question']}\n\n"
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updates.append(gr.update(
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visible=True,
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choices=questions[i]["options"],
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value=None,
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label=f"Question {i+1}"
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))
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else:
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updates.append(gr.update(visible=False, choices=[]))
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return (gr.update(value=questions_html), *updates, questions, 1)
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def submit_quiz(q1, q2, q3, q4, q5, questions):
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answers = [q1, q2, q3, q4, q5][:len(questions)]
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score = quiz_app.calculate_score(answers)
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