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Update app.py
Browse files
app.py
CHANGED
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@@ -24,131 +24,158 @@ class QuizFeedback:
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class QuizGenerator:
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def __init__(self, api_key: str):
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self.client = Groq(api_key=api_key)
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def generate_questions(self, text: str, num_questions: int) -> List[Question]:
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prompt = self._create_prompt(text, num_questions)
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try:
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response = self.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.
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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="
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temperature=0,
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max_tokens=2048
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)
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questions = self._parse_response(response.choices[0].message.content)
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except Exception as e:
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print(f"Error in generate_questions: {str(e)}")
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print(f"
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raise QuizGenerationError(f"Failed to generate questions: {str(e)}")
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def _create_prompt(self, text: str, num_questions: int) -> str:
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-
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2. Provide exactly 4 options for each question
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3. Mark the correct answer with index (0-3)
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4. Keep all options concise (under 10 words)
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5. Return ONLY a JSON array with this exact format:
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[
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{{
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"question": "
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"options": [
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"
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"
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"
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"
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],
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"correct_answer": 0
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}}
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]
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Text to generate questions from:
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{text}
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Important: Return only the JSON array, no other text or formatting."""
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def _parse_response(self, response_text: str) -> List[Dict]:
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"""Parse response with
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try:
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# Clean up the response text
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# Find the JSON array
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if start_idx == -1 or end_idx == -1:
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raise ValueError("No valid JSON array found in response")
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#
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try:
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except json.JSONDecodeError as e:
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print(f"JSON Parse Error: {str(e)}")
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print(f"Attempted to parse: {
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raise
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except Exception as e:
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print(f"Error parsing response: {str(e)}")
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print(f"Original response: {response_text}")
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raise ValueError(f"Failed to parse
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def _validate_questions(self, questions: List[Dict], num_questions: int) -> List[Question]:
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"""Validate questions
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validated = []
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for q in questions:
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try:
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continue
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validated.append(Question(
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question=q["question"].strip(),
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options=[str(opt).strip()
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correct_answer=
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))
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except Exception as e:
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print(f"Error validating question: {str(e)}")
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continue
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raise ValueError("No valid questions after validation")
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return validated[:num_questions]
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def _is_valid_question(self, question: Dict) -> bool:
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"""Check if question format is valid"""
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try:
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return (
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isinstance(question, dict) and
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all(key in question for key in ["question", "options", "correct_answer"]) and
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isinstance(question["question"], str) and
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isinstance(question["options"], list) and
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len(question["options"]) == 4 and
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all(isinstance(opt, str) for opt in question["options"]) and
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isinstance(question["correct_answer"], (int, str)) and
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int(question["correct_answer"]) in range(4)
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)
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except Exception as e:
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print(f"Question validation error: {str(e)}")
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return False
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class FontManager:
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"""Manages font installation and loading for the certificate generator"""
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class QuizGenerator:
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def __init__(self, api_key: str):
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self.client = Groq(api_key=api_key)
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def generate_questions(self, text: str, num_questions: int) -> List[Question]:
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"""Generate quiz questions from input text"""
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prompt = self._create_prompt(text, num_questions)
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try:
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# Make API request with improved error handling
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response = self.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. Generate multiple choice questions based on the given text.
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Each question must have exactly 4 options and one correct answer.
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Return ONLY a valid JSON array of questions in the specified format.
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Make questions clear, focused and directly related to the input text.
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Avoid subjective or ambiguous questions."""
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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="llama2-70b-4096", # Using a more capable model
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temperature=0.2, # Lower temperature for more consistent output
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max_tokens=2048,
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stop=None # Let the model complete its output
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)
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if not response or not response.choices or not response.choices[0].message.content:
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raise ValueError("Empty response from API")
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# Parse and validate response
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questions = self._parse_response(response.choices[0].message.content)
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validated = self._validate_questions(questions, num_questions)
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if not validated:
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raise ValueError("No valid questions generated")
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return validated
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except Exception as e:
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print(f"Error in generate_questions: {str(e)}")
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print(f"Full error details: ", {
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"error": str(e),
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"response": getattr(response, 'choices', [{}])[0].get('message', {}).get('content', 'No content')
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if 'response' in locals() else 'No response'
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})
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raise QuizGenerationError(f"Failed to generate questions: {str(e)}")
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def _create_prompt(self, text: str, num_questions: int) -> str:
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"""Create a clear, structured prompt for question generation"""
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return f"""Generate exactly {num_questions} multiple choice questions based on this text. For each question:
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1. Create a clear, specific question focusing on key information
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2. Provide exactly 4 answer options
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3. Ensure one and only one option is correct
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4. Keep options concise (under 10 words each)
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5. Avoid subjective or ambiguous questions
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6. Make all options plausible but only one correct
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Return ONLY a JSON array in this exact format:
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[
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{{
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"question": "Question text here?",
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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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]
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The correct_answer should be the index (0-3) of the correct option.
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Return only the JSON array, no other text.
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Text to generate questions from:
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{text.strip()}"""
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def _parse_response(self, response_text: str) -> List[Dict]:
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"""Parse API response with robust error handling"""
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try:
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# Clean up the response text
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cleaned = response_text.strip()
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# Remove any markdown code block markers
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cleaned = cleaned.replace('```json', '').replace('```', '').strip()
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# Find the JSON array
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start = cleaned.find('[')
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end = cleaned.rfind(']') + 1
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if start == -1 or end == 0:
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raise ValueError("No JSON array found in response")
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json_str = cleaned[start:end]
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# Parse JSON
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try:
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questions = json.loads(json_str)
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except json.JSONDecodeError as e:
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print(f"JSON Parse Error: {str(e)}")
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print(f"Attempted to parse: {json_str}")
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raise
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if not isinstance(questions, list):
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raise ValueError("Response is not a list of questions")
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return questions
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except Exception as e:
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print(f"Error parsing response: {str(e)}")
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print(f"Original response: {response_text}")
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raise ValueError(f"Failed to parse questions: {str(e)}")
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def _validate_questions(self, questions: List[Dict], num_questions: int) -> List[Question]:
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"""Validate and convert questions to Question objects"""
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validated = []
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for q in questions[:num_questions]:
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try:
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# Validate question structure
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if not isinstance(q, dict):
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continue
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required_keys = {"question", "options", "correct_answer"}
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if not all(key in q for key in required_keys):
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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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# Convert correct_answer to int and validate
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try:
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correct_idx = int(q["correct_answer"])
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if not 0 <= correct_idx < 4:
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continue
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except (ValueError, TypeError):
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continue
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# Create Question object
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validated.append(Question(
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question=str(q["question"]).strip(),
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options=[str(opt).strip() for opt in q["options"]],
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correct_answer=correct_idx
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))
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except Exception as e:
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print(f"Error validating question: {str(e)}")
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continue
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return validated
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class FontManager:
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"""Manages font installation and loading for the certificate generator"""
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