CertifyMe.AI / app.py
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import gradio as gr
from groq import Groq
import os
from PIL import Image, ImageDraw, ImageFont
from datetime import datetime
import json
import tempfile
from typing import List, Dict, Tuple, Optional, Any
from dataclasses import dataclass
import subprocess
from pathlib import Path
import logging
from functools import lru_cache
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)
@dataclass(frozen=True)
class Question:
"""Immutable question data structure with validation"""
question: str
options: Tuple[str, ...] # Using tuple for immutability
correct_answer: int
def __post_init__(self):
if not isinstance(self.options, tuple):
object.__setattr__(self, 'options', tuple(self.options))
if not (0 <= self.correct_answer < len(self.options)):
raise ValueError(f"Correct answer index {self.correct_answer} out of range")
if len(self.options) != 4:
raise ValueError(f"Must have exactly 4 options, got {len(self.options)}")
@dataclass(frozen=True)
class QuizFeedback:
"""Immutable feedback data structure"""
is_correct: bool
selected: Optional[str]
correct_answer: str
class CacheableQuizGenerator:
"""Quiz generator with caching capabilities"""
def __init__(self, api_key: str):
self.client = Groq(api_key=api_key)
self._cache = {}
@lru_cache(maxsize=100)
def _generate_cached_questions(self, text_hash: str, num_questions: int) -> List[Question]:
"""Cache questions based on content hash"""
text = self._cache.get(text_hash)
if not text:
raise KeyError("Text not found in cache")
return self._generate_questions_internal(text, num_questions)
def generate_questions(self, text: str, num_questions: int) -> List[Question]:
"""Generate questions with caching"""
text_hash = hash(text)
self._cache[text_hash] = text
try:
return self._generate_cached_questions(text_hash, num_questions)
except Exception as e:
logger.error(f"Error generating questions: {e}")
raise QuizGenerationError(f"Failed to generate questions: {e}")
def _generate_questions_internal(self, text: str, num_questions: int) -> List[Question]:
"""Internal question generation logic"""
try:
response = self._get_llm_response(text, num_questions)
questions = self._parse_response(response)
return self._validate_questions(questions, num_questions)
except Exception as e:
logger.error(f"Error in question generation: {e}")
raise
def _get_llm_response(self, text: str, num_questions: int) -> str:
"""Get response from LLM with retry logic"""
max_retries = 3
for attempt in range(max_retries):
try:
response = self.client.chat.completions.create(
messages=self._create_messages(text, num_questions),
model="llama-3.2-3b-preview",
temperature=0,
max_tokens=2048
)
return response.choices[0].message.content
except Exception as e:
if attempt == max_retries - 1:
raise
logger.warning(f"Retry {attempt + 1}/{max_retries} after error: {e}")
continue
@staticmethod
def _create_messages(text: str, num_questions: int) -> List[Dict[str, str]]:
"""Create messages for LLM prompt"""
return [
{
"role": "system",
"content": "You are a quiz generator. Create clear questions with concise answer options."
},
{
"role": "user",
"content": f"""Generate exactly {num_questions} multiple choice questions based on this text:
{text}
Return only a JSON array with this format:
[
{{
"question": "Question text?",
"options": ["Option 1", "Option 2", "Option 3", "Option 4"],
"correct_answer": 0
}}
]"""
}
]
def _parse_response(self, response_text: str) -> List[Dict]:
"""Parse response with improved error handling"""
try:
# Clean up the response text
cleaned_text = response_text.strip()
cleaned_text = cleaned_text.replace('```json', '').replace('```', '').strip()
# Find the JSON array
start_idx = cleaned_text.find('[')
end_idx = cleaned_text.rfind(']')
if start_idx == -1 or end_idx == -1:
raise ValueError("No valid JSON array found in response")
json_text = cleaned_text[start_idx:end_idx + 1]
# Attempt to parse the JSON
try:
return json.loads(json_text)
except json.JSONDecodeError as e:
print(f"JSON Parse Error: {str(e)}")
print(f"Attempted to parse: {json_text}")
raise
except Exception as e:
print(f"Error parsing response: {str(e)}")
print(f"Original response: {response_text}")
raise ValueError(f"Failed to parse response: {str(e)}")
def _validate_questions(self, questions: List[Dict], num_questions: int) -> List[Question]:
"""Validate questions with improved error checking"""
validated = []
for q in questions:
try:
if not self._is_valid_question(q):
print(f"Invalid question format: {q}")
continue
validated.append(Question(
question=q["question"].strip(),
options=[str(opt).strip()[:100] for opt in q["options"]],
correct_answer=int(q["correct_answer"]) % 4
))
except Exception as e:
print(f"Error validating question: {str(e)}")
continue
if not validated:
raise ValueError("No valid questions after validation")
return validated[:num_questions]
def _is_valid_question(self, question: Dict) -> bool:
"""Check if question format is valid"""
try:
return (
isinstance(question, dict) and
all(key in question for key in ["question", "options", "correct_answer"]) and
isinstance(question["question"], str) and
isinstance(question["options"], list) and
len(question["options"]) == 4 and
all(isinstance(opt, str) for opt in question["options"]) and
isinstance(question["correct_answer"], (int, str)) and
int(question["correct_answer"]) in range(4)
)
except Exception as e:
print(f"Question validation error: {str(e)}")
return False
class FontManager:
"""Manages font installation and loading for the certificate generator"""
@staticmethod
def install_fonts():
"""Install required fonts if they're not already present"""
try:
# Install fonts package
subprocess.run([
"apt-get", "update", "-y"
], check=True)
subprocess.run([
"apt-get", "install", "-y",
"fonts-liberation", # Liberation Sans fonts
"fontconfig", # Font configuration
"fonts-dejavu-core" # DejaVu fonts as fallback
], check=True)
# Clear font cache
subprocess.run(["fc-cache", "-f"], check=True)
print("Fonts installed successfully")
except subprocess.CalledProcessError as e:
print(f"Warning: Could not install fonts: {e}")
except Exception as e:
print(f"Warning: Unexpected error installing fonts: {e}")
@staticmethod
def get_font_paths() -> Dict[str, str]:
"""Get the paths to the required fonts with multiple fallbacks"""
standard_paths = [
"/usr/share/fonts",
"/usr/local/share/fonts",
"/usr/share/fonts/truetype",
"~/.fonts"
]
font_paths = {
'regular': None,
'bold': None
}
# Common font filenames to try
fonts_to_try = {
'regular': [
'LiberationSans-Regular.ttf',
'DejaVuSans.ttf',
'FreeSans.ttf'
],
'bold': [
'LiberationSans-Bold.ttf',
'DejaVuSans-Bold.ttf',
'FreeSans-Bold.ttf'
]
}
def find_font(font_name: str) -> Optional[str]:
"""Search for a font file in standard locations"""
for base_path in standard_paths:
for root, _, files in os.walk(os.path.expanduser(base_path)):
if font_name in files:
return os.path.join(root, font_name)
return None
# Try to find each font
for style in ['regular', 'bold']:
for font_name in fonts_to_try[style]:
font_path = find_font(font_name)
if font_path:
font_paths[style] = font_path
break
# If no fonts found, try using fc-match as fallback
if not all(font_paths.values()):
try:
for style in ['regular', 'bold']:
if not font_paths[style]:
result = subprocess.run(
['fc-match', '-f', '%{file}', 'sans-serif:style=' + style],
capture_output=True,
text=True
)
if result.returncode == 0 and result.stdout.strip():
font_paths[style] = result.stdout.strip()
except Exception as e:
print(f"Warning: Could not use fc-match to find fonts: {e}")
return font_paths
class QuizGenerationError(Exception):
"""Exception raised for errors in quiz generation"""
pass
class CertificateGenerator:
def __init__(self):
self.certificate_size = (1200, 800)
self.background_color = '#FFFFFF'
self.border_color = '#1C1D1F'
# Install fonts if needed
FontManager.install_fonts()
self.font_paths = FontManager.get_font_paths()
def _load_fonts(self) -> Dict[str, ImageFont.FreeTypeFont]:
"""Load fonts with fallbacks"""
fonts = {}
try:
if self.font_paths['regular'] and self.font_paths['bold']:
fonts['title'] = ImageFont.truetype(self.font_paths['bold'], 36)
fonts['subtitle'] = ImageFont.truetype(self.font_paths['regular'], 14)
fonts['text'] = ImageFont.truetype(self.font_paths['regular'], 20)
fonts['name'] = ImageFont.truetype(self.font_paths['bold'], 32)
else:
raise ValueError("No suitable fonts found")
except Exception as e:
print(f"Font loading error: {e}. Using default font.")
default = ImageFont.load_default()
fonts = {
'title': default,
'subtitle': default,
'text': default,
'name': default
}
return fonts
def _add_professional_border(self, draw: ImageDraw.Draw):
# Single elegant inner border with padding
padding = 40
draw.rectangle(
[(padding, padding),
(self.certificate_size[0] - padding, self.certificate_size[1] - padding)],
outline='#1C1D1F',
width=2
)
def _add_content(
self,
draw: ImageDraw.Draw,
fonts: Dict[str, ImageFont.FreeTypeFont],
name: str,
course_name: str,
score: float
):
# Add "CERTIFICATE OF COMPLETION" text
draw.text((60, 140), "CERTIFICATE OF COMPLETION", font=fonts['subtitle'], fill='#666666')
# Add course name (large and bold)
course_name = course_name.strip() or "Assessment"
text_width = draw.textlength(course_name, fonts['title'])
max_width = self.certificate_size[0] - 120 # Leave margins
if text_width > max_width:
words = course_name.split()
lines = []
current_line = []
current_width = 0
for word in words:
word_width = draw.textlength(word + " ", fonts['title'])
if current_width + word_width <= max_width:
current_line.append(word)
current_width += word_width
else:
lines.append(" ".join(current_line))
current_line = [word]
current_width = word_width
if current_line:
lines.append(" ".join(current_line))
course_name = "\n".join(lines)
draw.multiline_text((60, 200), course_name, font=fonts['title'], fill='#1C1D1F', spacing=10)
# Add instructor info
draw.text((60, 300), "Instructor", font=fonts['subtitle'], fill='#666666')
draw.text((60, 330), "CertifyMe AI", font=fonts['text'], fill='#1C1D1F')
# Add participant name (large)
name = name.strip() or "Participant"
draw.text((60, 420), name, font=fonts['name'], fill='#1C1D1F')
# Add date and score info with spacing
date_str = datetime.now().strftime("%b. %d, %Y")
# Date section
draw.text((60, 500), "Date", font=fonts['subtitle'], fill='#666666')
draw.text((60, 530), date_str, font=fonts['text'], fill='#1C1D1F')
# Score section
draw.text((300, 500), "Score", font=fonts['subtitle'], fill='#666666')
draw.text((300, 530), f"{float(score):.1f}%", font=fonts['text'], fill='#1C1D1F')
# Footer section with certificate number and reference
certificate_id = f"Certificate no: {datetime.now().strftime('%Y%m%d')}-{abs(hash(name)) % 10000:04d}"
ref_number = f"Reference Number: {abs(hash(name + date_str)) % 10000:04d}"
# Draw footer text aligned to left and right
draw.text((60, 720), certificate_id, font=fonts['subtitle'], fill='#666666')
draw.text((1140, 720), ref_number, font=fonts['subtitle'], fill='#666666', anchor="ra")
def _add_logo(self, certificate: Image.Image, logo_path: str):
try:
logo = Image.open(logo_path)
# Resize logo to appropriate size
logo.thumbnail((150, 80))
# Position in top-left corner with padding
certificate.paste(logo, (60, 50), mask=logo if 'A' in logo.getbands() else None)
except Exception as e:
print(f"Error adding logo: {e}")
def _add_photo(self, certificate: Image.Image, photo_path: str):
try:
photo = Image.open(photo_path)
# Create circular mask
size = (100, 100)
mask = Image.new('L', size, 0)
draw = ImageDraw.Draw(mask)
draw.ellipse((0, 0, size[0], size[1]), fill=255)
# Resize photo maintaining aspect ratio
photo.thumbnail(size)
# Create a circular photo
output = Image.new('RGBA', size, (0, 0, 0, 0))
output.paste(photo, (0, 0))
output.putalpha(mask)
# Position in top-right corner with padding
certificate.paste(output, (1000, 50), mask=output)
except Exception as e:
print(f"Error adding photo: {e}")
def generate(
self,
score: float,
name: str,
course_name: str,
company_logo: Optional[str] = None,
participant_photo: Optional[str] = None
) -> str:
try:
certificate = self._create_base_certificate()
draw = ImageDraw.Draw(certificate)
# Add professional border
self._add_professional_border(draw)
fonts = self._load_fonts()
self._add_content(draw, fonts, str(name), str(course_name), float(score))
if company_logo:
self._add_logo(certificate, company_logo)
if participant_photo:
self._add_photo(certificate, participant_photo)
return self._save_certificate(certificate)
except Exception as e:
print(f"Error generating certificate: {e}")
return None
def _create_base_certificate(self) -> Image.Image:
return Image.new('RGB', self.certificate_size, self.background_color)
def _save_certificate(self, certificate: Image.Image) -> str:
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.png')
certificate.save(temp_file.name, 'PNG', quality=95)
return temp_file.name
class QuizApp:
"""Enhanced quiz application with proper state management"""
def __init__(self, api_key: str):
self.quiz_generator = CacheableQuizGenerator(api_key)
self.certificate_generator = CertificateGenerator()
self._current_questions: List[Question] = []
self._user_answers: List[Optional[str]] = []
@property
def current_questions(self) -> List[Question]:
"""Get current questions with defensive copy"""
return self._current_questions.copy()
def set_questions(self, questions: List[Question]) -> None:
"""Set current questions with validation"""
if not all(isinstance(q, Question) for q in questions):
raise ValueError("All elements must be Question instances")
self._current_questions = questions.copy()
self._user_answers = [None] * len(questions)
def submit_answer(self, question_idx: int, answer: Optional[str]) -> None:
"""Submit an answer with validation"""
if not 0 <= question_idx < len(self._current_questions):
raise ValueError(f"Invalid question index: {question_idx}")
self._user_answers[question_idx] = answer
def calculate_score(self) -> Tuple[float, bool, List[QuizFeedback]]:
"""Calculate quiz score with proper validation"""
if not self._current_questions or not self._user_answers:
return 0.0, False, []
if len(self._current_questions) != len(self._user_answers):
raise ValueError("Questions and answers length mismatch")
feedback = []
correct_count = 0
for question, answer in zip(self._current_questions, self._user_answers):
is_correct = False
if answer is not None:
try:
selected_index = question.options.index(answer)
is_correct = selected_index == question.correct_answer
if is_correct:
correct_count += 1
except ValueError:
pass
feedback.append(QuizFeedback(
is_correct=is_correct,
selected=answer,
correct_answer=question.options[question.correct_answer]
))
score = (correct_count / len(self._current_questions)) * 100
return score, score >= 80, feedback
def update_questions(self, text: str, num_questions: int) -> Tuple[gr.update, gr.update, List[gr.update], List[Question], gr.update]:
"""
Event handler for generating new questions
"""
if not text.strip():
return (
gr.update(value=""),
gr.update(value="⚠️ Please enter some text content to generate questions."),
*[gr.update(visible=False, choices=[]) for _ in range(5)],
[],
gr.update(selected=1)
)
success, questions = self.generate_questions(text, num_questions)
if not success or not questions:
return (
gr.update(value=""),
gr.update(value="❌ Failed to generate questions. Please try again."),
*[gr.update(visible=False, choices=[]) for _ in range(5)],
[],
gr.update(selected=1)
)
# Create question display
questions_html = "# 📝 Assessment Questions\n\n"
questions_html += "> Please select one answer for each question.\n\n"
# Update radio buttons
updates = []
for i, q in enumerate(questions):
questions_html += f"### Question {i+1}\n{q.question}\n\n"
updates.append(gr.update(
visible=True,
choices=q.options,
value=None,
label=f"Select your answer:"
))
# Hide unused radio buttons
for i in range(len(questions), 5):
updates.append(gr.update(visible=False, choices=[]))
return (
gr.update(value=questions_html),
gr.update(value=""),
*updates,
questions,
gr.update(selected=1)
)
def submit_quiz(self, q1: Optional[str], q2: Optional[str], q3: Optional[str],
q4: Optional[str], q5: Optional[str], questions: List[Question]
) -> Tuple[gr.update, List[gr.update], float, str, gr.update]:
"""
Event handler for quiz submission
"""
answers = [q1, q2, q3, q4, q5][:len(questions)]
if not all(a is not None for a in answers):
return (
gr.update(value="⚠️ Please answer all questions before submitting."),
*[gr.update() for _ in range(5)],
0,
"",
gr.update(selected=1)
)
score, passed, feedback = self.calculate_score(answers)
# Create feedback HTML
feedback_html = "# Assessment Results\n\n"
for i, (q, f) in enumerate(zip(self.current_questions, feedback)):
color = "green" if f.is_correct else "red"
symbol = "✅" if f.is_correct else "❌"
feedback_html += f"""
### Question {i+1}
{q.question}
<div style="color: {color}; padding: 10px; margin: 5px 0; border-left: 3px solid {color};">
{symbol} Your answer: {f.selected}
{'' if f.is_correct else f'<br>Correct answer: {f.correct_answer}'}
</div>
"""
# Add result message
if passed:
feedback_html += self._create_success_message(score)
result_msg = f"🎉 Congratulations! You passed with {score:.1f}%"
else:
feedback_html += self._create_failure_message(score)
result_msg = f"Score: {score:.1f}%. You need 80% to pass."
return (
gr.update(value=feedback_html),
*[gr.update(visible=False) for _ in range(5)],
score,
result_msg,
gr.update(selected=2)
)
def _create_success_message(self, score: float) -> str:
return f"""
<div style="background-color: #e6ffe6; padding: 20px; margin-top: 20px; border-radius: 10px;">
<h3 style="color: #008000;">🎉 Congratulations!</h3>
<p>You passed the assessment with a score of {score:.1f}%</p>
<p>Your certificate has been generated.</p>
</div>
"""
def _create_failure_message(self, score: float) -> str:
return f"""
<div style="background-color: #ffe6e6; padding: 20px; margin-top: 20px; border-radius: 10px;">
<h3 style="color: #cc0000;">Please Try Again</h3>
<p>Your score: {score:.1f}%</p>
<p>You need 80% or higher to pass and receive a certificate.</p>
</div>
"""
def create_quiz_interface():
if not os.getenv("GROQ_API_KEY"):
raise EnvironmentError("Please set your GROQ_API_KEY environment variable")
quiz_app = QuizApp(os.getenv("GROQ_API_KEY"))
with gr.Blocks(title="CertifyMe AI", theme=gr.themes.Soft()) as demo:
# State management
current_questions = gr.State([])
current_question_idx = gr.State(0)
answer_state = gr.State([None] * 5)
# Header
gr.Markdown("""
# 🎓 CertifyMe AI
### Transform Your Knowledge into Recognized Achievements
""")
with gr.Tabs() as tabs:
# Profile Setup Tab
with gr.Tab(id=1, label="📋 Step 1: Profile Setup"):
with gr.Row():
name = gr.Textbox(label="Full Name", placeholder="Enter your full name")
email = gr.Textbox(label="Email", placeholder="Enter your email")
text_input = gr.Textbox(
label="Learning Content",
placeholder="Enter the text content you want to be assessed on",
lines=10
)
num_questions = gr.Slider(
minimum=1,
maximum=20,
value=10,
step=1,
label="Number of Questions"
)
with gr.Row():
company_logo = gr.Image(label="Company Logo (Optional)", type="filepath")
participant_photo = gr.Image(label="Your Photo (Optional)", type="filepath")
generate_btn = gr.Button("Generate Assessment", variant="primary", size="lg")
# Assessment Tab
with gr.Tab(id=2, label="📝 Step 2: Take Assessment"):
with gr.Column() as main_container:
# Questions Section
with gr.Column(visible=True) as question_box:
question_display = gr.Markdown("")
current_options = gr.Radio(
choices=[],
label="Select your answer:",
visible=False
)
with gr.Row():
prev_btn = gr.Button("← Previous", variant="secondary", size="sm")
question_counter = gr.Markdown("Question 1")
next_btn = gr.Button("Next →", variant="secondary", size="sm")
gr.Markdown("---") # Separator
submit_btn = gr.Button(
"Submit Assessment",
variant="primary",
size="lg"
)
# Results Section in Assessment Tab
with gr.Column(visible=False) as results_group:
result_message = gr.Markdown(
label="Result",
show_label=True
)
feedback_box = gr.Markdown(
label="Detailed Feedback",
show_label=True
)
gr.Markdown("---") # Separator
with gr.Row(equal_height=True):
reset_btn = gr.Button(
"Reset Quiz",
variant="secondary",
size="lg",
visible=False
)
view_cert_btn = gr.Button(
"View Certificate",
variant="primary",
size="lg",
visible=False
)
# Certification Tab
with gr.Tab(id=3, label="🎓 Step 3: Get Certified"):
score_display = gr.Number(label="Your Score", visible=False)
course_name = gr.Textbox(
label="Certification Title",
value="Professional Assessment Certification"
)
certificate_display = gr.Image(label="Your Certificate")
# Helper Functions
def on_generate_questions(text, num_questions):
if not text.strip():
return [
"",
gr.update(visible=False),
gr.update(choices=[], visible=False),
"",
[],
0,
[None] * 5,
gr.update(selected=1),
gr.update(visible=False),
gr.update(visible=False)
]
success, questions = quiz_app.generate_questions(text, num_questions)
if not success or not questions:
return [
"",
gr.update(visible=False),
gr.update(choices=[], visible=False),
"",
[],
0,
[None] * 5,
gr.update(selected=1),
gr.update(visible=False),
gr.update(visible=False)
]
question = questions[0]
question_md = f"""### Question 1
{question.question}"""
return [
question_md,
gr.update(visible=True),
gr.update(
choices=question.options,
value=None,
visible=True,
label="Select your answer:"
),
f"Question 1 of {len(questions)}",
questions,
0,
[None] * len(questions),
gr.update(selected=2),
gr.update(visible=False),
gr.update(visible=False)
]
def navigate(direction, current_idx, questions, answers, current_answer):
if not questions:
return [0, answers, "", gr.update(choices=[], visible=False), "", gr.update(visible=False)]
new_answers = list(answers)
if current_answer is not None and 0 <= current_idx < len(new_answers):
new_answers[current_idx] = current_answer
new_idx = max(0, min(len(questions) - 1, current_idx + direction))
question = questions[new_idx]
question_md = f"""### Question {new_idx + 1}
{question.question}"""
return [
new_idx,
new_answers,
question_md,
gr.update(
choices=question.options,
value=new_answers[new_idx] if new_idx < len(new_answers) else None,
visible=True,
label="Select your answer:"
),
f"Question {new_idx + 1} of {len(questions)}",
gr.update(visible=True)
]
def update_answer_state(answer, idx, current_answers):
new_answers = list(current_answers)
if 0 <= idx < len(new_answers):
new_answers[idx] = answer
return new_answers
def reset_quiz(text, num_questions):
"""Handle quiz reset"""
return on_generate_questions(text, num_questions)
def view_certificate():
"""Navigate to certificate tab"""
return gr.update(selected=3)
def handle_prev(current_idx, questions, answers, current_answer):
return navigate(-1, current_idx, questions, answers, current_answer)
def handle_next(current_idx, questions, answers, current_answer):
return navigate(1, current_idx, questions, answers, current_answer)
def on_submit(questions, answers, current_idx, current_answer):
"""Handle quiz submission with proper Markdown rendering and emojis"""
final_answers = list(answers)
if 0 <= current_idx < len(final_answers):
final_answers[current_idx] = current_answer
if not all(a is not None for a in final_answers[:len(questions)]):
return [
"⚠️ Please answer all questions before submitting.",
gr.update(visible=True),
0,
"",
gr.update(visible=True),
gr.update(visible=True),
gr.update(visible=False),
gr.update(visible=False)
]
score, passed, feedback = quiz_app.calculate_score(final_answers[:len(questions)])
# Create feedback content using proper Markdown with emojis
feedback_content = f"""# Assessment Results
**Score: {score:.1f}%**
"""
for i, (q, f) in enumerate(zip(questions, feedback)):
icon = "✅" if f.is_correct else "❌"
color = "green" if f.is_correct else "red"
# Using markdown syntax with color formatting
feedback_content += f"""### Question {i+1}
{q.question}
{icon} **Your answer:** {f.selected or 'No answer'}
{'' if f.is_correct else f'**Correct answer:** {f.correct_answer}'}
"""
# Add summary box
if passed:
feedback_content += f"""
---
## 🎉 Congratulations!
You passed with a score of {score:.1f}%!
"""
else:
feedback_content += f"""
---
## Need Improvement
You scored {score:.1f}%. You need 80% or higher to pass.
Please try again.
"""
return [
feedback_content, # feedback_box
gr.update(visible=True), # results_group
score, # score_display
f"Score: {score:.1f}%", # result_message
gr.update(visible=False), # question_box
gr.update(visible=not passed), # reset_btn
gr.update(visible=passed), # view_cert_btn
gr.update(selected=2) # tabs
]
# Event Handlers
generate_btn.click(
fn=on_generate_questions,
inputs=[text_input, num_questions],
outputs=[
question_display,
question_box,
current_options,
question_counter,
current_questions,
current_question_idx,
answer_state,
tabs,
results_group,
view_cert_btn
]
)
prev_btn.click(
fn=handle_prev,
inputs=[current_question_idx, current_questions, answer_state, current_options],
outputs=[current_question_idx, answer_state, question_display, current_options, question_counter, question_box]
)
next_btn.click(
fn=handle_next,
inputs=[current_question_idx, current_questions, answer_state, current_options],
outputs=[current_question_idx, answer_state, question_display, current_options, question_counter, question_box]
)
submit_btn.click(
fn=on_submit,
inputs=[current_questions, answer_state, current_question_idx, current_options],
outputs=[
feedback_box,
results_group,
score_display,
result_message, # Now properly defined
question_box,
reset_btn,
view_cert_btn,
tabs
]
)
reset_btn.click(
fn=on_generate_questions,
inputs=[text_input, num_questions],
outputs=[
question_display,
question_box,
current_options,
question_counter,
current_questions,
current_question_idx,
answer_state,
tabs,
results_group,
view_cert_btn
]
)
view_cert_btn.click(
fn=lambda: gr.update(selected=3),
outputs=tabs
)
current_options.change(
fn=update_answer_state,
inputs=[current_options, current_question_idx, answer_state],
outputs=answer_state
)
score_display.change(
fn=lambda s, n, c, l, p: quiz_app.certificate_generator.generate(s, n, c, l, p) or gr.update(value=None),
inputs=[score_display, name, course_name, company_logo, participant_photo],
outputs=certificate_display
)
return demo
if __name__ == "__main__":
demo = create_quiz_interface()
demo.launch()