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capradeepgujaran
commited on
Commit
•
5301f93
1
Parent(s):
91ac2b1
Update app.py
Browse files
app.py
CHANGED
@@ -8,6 +8,7 @@ import tempfile
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from typing import List, Dict, Tuple, Optional
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from dataclasses import dataclass
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import subprocess
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@dataclass
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class Question:
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@@ -26,15 +27,16 @@ class QuizGenerator:
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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": "
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Always return valid JSON array of questions. Format answers as short, clear phrases."""
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},
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{
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"role": "user",
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@@ -42,112 +44,148 @@ class QuizGenerator:
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}
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],
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model="llama-3.2-3b-preview",
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temperature=0,
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max_tokens=
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)
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except Exception as e:
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print(f"Error in generate_questions: {str(e)}")
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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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1. Each question must be clear and focused
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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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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 improved error handling"""
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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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raise ValueError("No valid JSON array found in response")
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#
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try:
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return json.loads(
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except json.JSONDecodeError
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except Exception as e:
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print(f"
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print(f"
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def _validate_questions(self, questions: List[Dict], num_questions: int) -> List[Question]:
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"""Validate questions with
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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[
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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"
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continue
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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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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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from typing import List, Dict, Tuple, Optional
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from dataclasses import dataclass
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import subprocess
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import re
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@dataclass
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class Question:
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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 using llama-3.2-3b-preview model"""
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prompt = self._create_prompt(text, num_questions)
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try:
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# API call with simplified parameters
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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 that are clear and focused."
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},
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{
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"role": "user",
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}
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],
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model="llama-3.2-3b-preview",
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temperature=0.1,
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max_tokens=1024
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)
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# Extract content safely
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content = response.choices[0].message.content
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if not content:
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raise ValueError("Empty response content")
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# Parse and validate questions
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questions = self._parse_response(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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if 'response' in locals():
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print("Response content:", content if 'content' in locals() else None)
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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 simple, clear prompt optimized for llama-3.2-3b-preview"""
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return f"""Create {num_questions} multiple choice questions about this text. Return only the JSON array in this exact format:
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[
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{{
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"question": "Write the question here?",
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"options": [
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"First option",
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"Second option",
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"Third option",
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"Fourth option"
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],
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"correct_answer": 0
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}}
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]
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Rules:
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1. Return only the JSON array
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2. Each question must have exactly 4 options
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3. correct_answer must be 0, 1, 2, or 3
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4. No explanations or additional text
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Text to use:
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{text.strip()}"""
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def _parse_response(self, response_text: str) -> List[Dict]:
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"""Parse response with improved 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 formatting
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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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# Remove any trailing commas before closing brackets
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json_str = re.sub(r',(\s*})', r'\1', json_str)
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json_str = re.sub(r',(\s*])', r'\1', json_str)
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# Try to parse the cleaned JSON
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try:
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return json.loads(json_str)
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except json.JSONDecodeError:
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# If that fails, try using ast.literal_eval as a fallback
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import ast
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return ast.literal_eval(json_str)
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except Exception as e:
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print(f"Parse error details: {str(e)}")
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print(f"Attempted to parse: {response_text}")
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# Last resort: try to fix the JSON manually
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try:
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# Remove any trailing commas and fix newlines
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fixed = re.sub(r',(\s*[}\]])', r'\1', response_text)
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fixed = fixed.replace('}\n{', '},{')
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fixed = fixed.strip()
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if not fixed.startswith('['):
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fixed = '[' + fixed
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if not fixed.endswith(']'):
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fixed = fixed + ']'
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return json.loads(fixed)
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except:
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raise ValueError(f"Failed to parse response: {str(e)}")
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def _validate_questions(self, questions: List[Dict], num_questions: int) -> List[Question]:
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"""Validate questions with strict checking"""
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validated = []
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for q in questions[:num_questions]:
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try:
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# Skip invalid questions
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if not isinstance(q, dict):
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continue
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# Check required fields
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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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# Validate options
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if not isinstance(q['options'], list) or len(q['options']) != 4:
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continue
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# Validate correct_answer
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try:
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correct_idx = int(q['correct_answer'])
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if not 0 <= correct_idx <= 3:
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continue
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except (ValueError, TypeError):
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continue
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# Create validated 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"Validation error: {str(e)}")
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continue
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return validated
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def _is_valid_json(self, json_str: str) -> bool:
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"""Check if a string is valid JSON"""
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try:
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json.loads(json_str)
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return True
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except:
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return False
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class FontManager:
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