Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -24,131 +24,158 @@ class QuizFeedback:
|
|
24 |
class QuizGenerator:
|
25 |
def __init__(self, api_key: str):
|
26 |
self.client = Groq(api_key=api_key)
|
27 |
-
|
28 |
def generate_questions(self, text: str, num_questions: int) -> List[Question]:
|
|
|
29 |
prompt = self._create_prompt(text, num_questions)
|
30 |
|
31 |
try:
|
|
|
32 |
response = self.client.chat.completions.create(
|
33 |
messages=[
|
34 |
{
|
35 |
"role": "system",
|
36 |
-
"content": """You are a quiz generator.
|
37 |
-
|
|
|
|
|
|
|
38 |
},
|
39 |
{
|
40 |
"role": "user",
|
41 |
"content": prompt
|
42 |
}
|
43 |
],
|
44 |
-
model="
|
45 |
-
temperature=0,
|
46 |
-
max_tokens=2048
|
|
|
47 |
)
|
48 |
|
|
|
|
|
|
|
|
|
49 |
questions = self._parse_response(response.choices[0].message.content)
|
50 |
-
|
|
|
|
|
|
|
|
|
|
|
51 |
|
52 |
except Exception as e:
|
53 |
print(f"Error in generate_questions: {str(e)}")
|
54 |
-
print(f"
|
|
|
|
|
|
|
|
|
55 |
raise QuizGenerationError(f"Failed to generate questions: {str(e)}")
|
56 |
|
57 |
def _create_prompt(self, text: str, num_questions: int) -> str:
|
58 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
59 |
|
60 |
-
|
61 |
-
2. Provide exactly 4 options for each question
|
62 |
-
3. Mark the correct answer with index (0-3)
|
63 |
-
4. Keep all options concise (under 10 words)
|
64 |
-
5. Return ONLY a JSON array with this exact format:
|
65 |
[
|
66 |
{{
|
67 |
-
"question": "
|
68 |
"options": [
|
69 |
-
"
|
70 |
-
"
|
71 |
-
"
|
72 |
-
"
|
73 |
],
|
74 |
"correct_answer": 0
|
75 |
}}
|
76 |
]
|
77 |
|
|
|
|
|
|
|
78 |
Text to generate questions from:
|
79 |
-
{text}
|
80 |
|
81 |
-
Important: Return only the JSON array, no other text or formatting."""
|
82 |
-
|
83 |
def _parse_response(self, response_text: str) -> List[Dict]:
|
84 |
-
"""Parse response with
|
85 |
try:
|
86 |
# Clean up the response text
|
87 |
-
|
88 |
-
|
|
|
89 |
|
90 |
# Find the JSON array
|
91 |
-
|
92 |
-
|
93 |
-
|
94 |
-
if start_idx == -1 or end_idx == -1:
|
95 |
-
raise ValueError("No valid JSON array found in response")
|
96 |
|
97 |
-
|
|
|
|
|
|
|
98 |
|
99 |
-
#
|
100 |
try:
|
101 |
-
|
102 |
except json.JSONDecodeError as e:
|
103 |
print(f"JSON Parse Error: {str(e)}")
|
104 |
-
print(f"Attempted to parse: {
|
105 |
raise
|
106 |
|
|
|
|
|
|
|
|
|
|
|
107 |
except Exception as e:
|
108 |
print(f"Error parsing response: {str(e)}")
|
109 |
print(f"Original response: {response_text}")
|
110 |
-
raise ValueError(f"Failed to parse
|
111 |
|
112 |
def _validate_questions(self, questions: List[Dict], num_questions: int) -> List[Question]:
|
113 |
-
"""Validate questions
|
114 |
validated = []
|
115 |
|
116 |
-
for q in questions:
|
117 |
try:
|
118 |
-
|
119 |
-
|
120 |
continue
|
121 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
122 |
validated.append(Question(
|
123 |
-
question=q["question"].strip(),
|
124 |
-
options=[str(opt).strip()
|
125 |
-
correct_answer=
|
126 |
))
|
|
|
127 |
except Exception as e:
|
128 |
print(f"Error validating question: {str(e)}")
|
129 |
continue
|
130 |
|
131 |
-
|
132 |
-
raise ValueError("No valid questions after validation")
|
133 |
-
|
134 |
-
return validated[:num_questions]
|
135 |
-
|
136 |
-
def _is_valid_question(self, question: Dict) -> bool:
|
137 |
-
"""Check if question format is valid"""
|
138 |
-
try:
|
139 |
-
return (
|
140 |
-
isinstance(question, dict) and
|
141 |
-
all(key in question for key in ["question", "options", "correct_answer"]) and
|
142 |
-
isinstance(question["question"], str) and
|
143 |
-
isinstance(question["options"], list) and
|
144 |
-
len(question["options"]) == 4 and
|
145 |
-
all(isinstance(opt, str) for opt in question["options"]) and
|
146 |
-
isinstance(question["correct_answer"], (int, str)) and
|
147 |
-
int(question["correct_answer"]) in range(4)
|
148 |
-
)
|
149 |
-
except Exception as e:
|
150 |
-
print(f"Question validation error: {str(e)}")
|
151 |
-
return False
|
152 |
|
153 |
class FontManager:
|
154 |
"""Manages font installation and loading for the certificate generator"""
|
|
|
24 |
class QuizGenerator:
|
25 |
def __init__(self, api_key: str):
|
26 |
self.client = Groq(api_key=api_key)
|
27 |
+
|
28 |
def generate_questions(self, text: str, num_questions: int) -> List[Question]:
|
29 |
+
"""Generate quiz questions from input text"""
|
30 |
prompt = self._create_prompt(text, num_questions)
|
31 |
|
32 |
try:
|
33 |
+
# Make API request with improved error handling
|
34 |
response = self.client.chat.completions.create(
|
35 |
messages=[
|
36 |
{
|
37 |
"role": "system",
|
38 |
+
"content": """You are a quiz generator. Generate multiple choice questions based on the given text.
|
39 |
+
Each question must have exactly 4 options and one correct answer.
|
40 |
+
Return ONLY a valid JSON array of questions in the specified format.
|
41 |
+
Make questions clear, focused and directly related to the input text.
|
42 |
+
Avoid subjective or ambiguous questions."""
|
43 |
},
|
44 |
{
|
45 |
"role": "user",
|
46 |
"content": prompt
|
47 |
}
|
48 |
],
|
49 |
+
model="llama2-70b-4096", # Using a more capable model
|
50 |
+
temperature=0.2, # Lower temperature for more consistent output
|
51 |
+
max_tokens=2048,
|
52 |
+
stop=None # Let the model complete its output
|
53 |
)
|
54 |
|
55 |
+
if not response or not response.choices or not response.choices[0].message.content:
|
56 |
+
raise ValueError("Empty response from API")
|
57 |
+
|
58 |
+
# Parse and validate response
|
59 |
questions = self._parse_response(response.choices[0].message.content)
|
60 |
+
validated = self._validate_questions(questions, num_questions)
|
61 |
+
|
62 |
+
if not validated:
|
63 |
+
raise ValueError("No valid questions generated")
|
64 |
+
|
65 |
+
return validated
|
66 |
|
67 |
except Exception as e:
|
68 |
print(f"Error in generate_questions: {str(e)}")
|
69 |
+
print(f"Full error details: ", {
|
70 |
+
"error": str(e),
|
71 |
+
"response": getattr(response, 'choices', [{}])[0].get('message', {}).get('content', 'No content')
|
72 |
+
if 'response' in locals() else 'No response'
|
73 |
+
})
|
74 |
raise QuizGenerationError(f"Failed to generate questions: {str(e)}")
|
75 |
|
76 |
def _create_prompt(self, text: str, num_questions: int) -> str:
|
77 |
+
"""Create a clear, structured prompt for question generation"""
|
78 |
+
return f"""Generate exactly {num_questions} multiple choice questions based on this text. For each question:
|
79 |
+
|
80 |
+
1. Create a clear, specific question focusing on key information
|
81 |
+
2. Provide exactly 4 answer options
|
82 |
+
3. Ensure one and only one option is correct
|
83 |
+
4. Keep options concise (under 10 words each)
|
84 |
+
5. Avoid subjective or ambiguous questions
|
85 |
+
6. Make all options plausible but only one correct
|
86 |
|
87 |
+
Return ONLY a JSON array in this exact format:
|
|
|
|
|
|
|
|
|
88 |
[
|
89 |
{{
|
90 |
+
"question": "Question text here?",
|
91 |
"options": [
|
92 |
+
"Option 1",
|
93 |
+
"Option 2",
|
94 |
+
"Option 3",
|
95 |
+
"Option 4"
|
96 |
],
|
97 |
"correct_answer": 0
|
98 |
}}
|
99 |
]
|
100 |
|
101 |
+
The correct_answer should be the index (0-3) of the correct option.
|
102 |
+
Return only the JSON array, no other text.
|
103 |
+
|
104 |
Text to generate questions from:
|
105 |
+
{text.strip()}"""
|
106 |
|
|
|
|
|
107 |
def _parse_response(self, response_text: str) -> List[Dict]:
|
108 |
+
"""Parse API response with robust error handling"""
|
109 |
try:
|
110 |
# Clean up the response text
|
111 |
+
cleaned = response_text.strip()
|
112 |
+
# Remove any markdown code block markers
|
113 |
+
cleaned = cleaned.replace('```json', '').replace('```', '').strip()
|
114 |
|
115 |
# Find the JSON array
|
116 |
+
start = cleaned.find('[')
|
117 |
+
end = cleaned.rfind(']') + 1
|
|
|
|
|
|
|
118 |
|
119 |
+
if start == -1 or end == 0:
|
120 |
+
raise ValueError("No JSON array found in response")
|
121 |
+
|
122 |
+
json_str = cleaned[start:end]
|
123 |
|
124 |
+
# Parse JSON
|
125 |
try:
|
126 |
+
questions = json.loads(json_str)
|
127 |
except json.JSONDecodeError as e:
|
128 |
print(f"JSON Parse Error: {str(e)}")
|
129 |
+
print(f"Attempted to parse: {json_str}")
|
130 |
raise
|
131 |
|
132 |
+
if not isinstance(questions, list):
|
133 |
+
raise ValueError("Response is not a list of questions")
|
134 |
+
|
135 |
+
return questions
|
136 |
+
|
137 |
except Exception as e:
|
138 |
print(f"Error parsing response: {str(e)}")
|
139 |
print(f"Original response: {response_text}")
|
140 |
+
raise ValueError(f"Failed to parse questions: {str(e)}")
|
141 |
|
142 |
def _validate_questions(self, questions: List[Dict], num_questions: int) -> List[Question]:
|
143 |
+
"""Validate and convert questions to Question objects"""
|
144 |
validated = []
|
145 |
|
146 |
+
for q in questions[:num_questions]:
|
147 |
try:
|
148 |
+
# Validate question structure
|
149 |
+
if not isinstance(q, dict):
|
150 |
continue
|
151 |
|
152 |
+
required_keys = {"question", "options", "correct_answer"}
|
153 |
+
if not all(key in q for key in required_keys):
|
154 |
+
continue
|
155 |
+
|
156 |
+
if not isinstance(q["options"], list) or len(q["options"]) != 4:
|
157 |
+
continue
|
158 |
+
|
159 |
+
# Convert correct_answer to int and validate
|
160 |
+
try:
|
161 |
+
correct_idx = int(q["correct_answer"])
|
162 |
+
if not 0 <= correct_idx < 4:
|
163 |
+
continue
|
164 |
+
except (ValueError, TypeError):
|
165 |
+
continue
|
166 |
+
|
167 |
+
# Create Question object
|
168 |
validated.append(Question(
|
169 |
+
question=str(q["question"]).strip(),
|
170 |
+
options=[str(opt).strip() for opt in q["options"]],
|
171 |
+
correct_answer=correct_idx
|
172 |
))
|
173 |
+
|
174 |
except Exception as e:
|
175 |
print(f"Error validating question: {str(e)}")
|
176 |
continue
|
177 |
|
178 |
+
return validated
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
179 |
|
180 |
class FontManager:
|
181 |
"""Manages font installation and loading for the certificate generator"""
|