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
from dataclasses import dataclass
import subprocess
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader, StorageContext, load_index_from_storage
from llama_index.vector_stores.types import VectorStore
from docx import Document
import fitz # PyMuPDF
import shutil
import tempfile
@dataclass
class Question:
question: str
options: List[str]
correct_answer: int
@dataclass
class QuizFeedback:
is_correct: bool
selected: Optional[str]
correct_answer: str
class DocumentProcessor:
def __init__(self, storage_dir="./storage"):
self.storage_dir = storage_dir
self.temp_dir = tempfile.mkdtemp()
self.index = None
os.makedirs(storage_dir, exist_ok=True)
def process_file(self, file_path: str) -> str:
"""Process uploaded file and save to temp directory"""
file_ext = os.path.splitext(file_path)[1].lower()
if file_ext == '.pdf':
return self._process_pdf(file_path)
elif file_ext in ['.doc', '.docx']:
return self._process_word(file_path)
else:
raise ValueError(f"Unsupported file type: {file_ext}")
def _process_pdf(self, file_path: str) -> str:
"""Extract text from PDF file"""
text = ""
try:
doc = fitz.open(file_path)
for page in doc:
text += page.get_text()
doc.close()
# Save processed text
output_path = os.path.join(self.temp_dir, "processed.txt")
with open(output_path, "w", encoding="utf-8") as f:
f.write(text)
return output_path
except Exception as e:
raise Exception(f"Error processing PDF: {str(e)}")
def _process_word(self, file_path: str) -> str:
"""Extract text from Word file"""
try:
doc = Document(file_path)
text = "\n".join([paragraph.text for paragraph in doc.paragraphs])
# Save processed text
output_path = os.path.join(self.temp_dir, "processed.txt")
with open(output_path, "w", encoding="utf-8") as f:
f.write(text)
return output_path
except Exception as e:
raise Exception(f"Error processing Word file: {str(e)}")
def create_index(self) -> bool:
"""Create vector store index from processed documents"""
try:
# Load documents from temp directory
documents = SimpleDirectoryReader(self.temp_dir).load_data()
# Create and save index
self.index = VectorStoreIndex.from_documents(
documents,
storage_context=StorageContext.from_defaults(
vector_store=SimpleVectorStore(),
persist_dir=self.storage_dir
)
)
return True
except Exception as e:
print(f"Error creating index: {str(e)}")
return False
def clear_index(self):
"""Clear the vector store index and temporary files"""
try:
# Clear storage directory
if os.path.exists(self.storage_dir):
shutil.rmtree(self.storage_dir)
os.makedirs(self.storage_dir)
# Clear temp directory
if os.path.exists(self.temp_dir):
shutil.rmtree(self.temp_dir)
self.temp_dir = tempfile.mkdtemp()
self.index = None
return "Index cleared successfully"
except Exception as e:
return f"Error clearing index: {str(e)}"
def cleanup(self):
"""Clean up temporary directory"""
if os.path.exists(self.temp_dir):
shutil.rmtree(self.temp_dir)
class QuizGenerator:
def __init__(self, api_key: str):
self.client = Groq(api_key=api_key)
def generate_questions(self, text: str, num_questions: int) -> List[Question]:
prompt = self._create_prompt(text, num_questions)
try:
response = self.client.chat.completions.create(
messages=[
{
"role": "system",
"content": """You are a quiz generator. Create clear questions with concise answer options.
Always return valid JSON array of questions. Format answers as short, clear phrases."""
},
{
"role": "user",
"content": prompt
}
],
model="llama-3.2-3b-preview",
temperature=0,
max_tokens=2048
)
questions = self._parse_response(response.choices[0].message.content)
return self._validate_questions(questions, num_questions)
except Exception as e:
print(f"Error in generate_questions: {str(e)}")
print(f"Response content: {response.choices[0].message.content if response else 'No response'}")
raise QuizGenerationError(f"Failed to generate questions: {str(e)}")
def _create_prompt(self, text: str, num_questions: int) -> str:
return f"""Generate exactly {num_questions} multiple choice questions based on the following text. Follow these rules strictly:
1. Each question must be clear and focused
2. Provide exactly 4 options for each question
3. Mark the correct answer with index (0-3)
4. Keep all options concise (under 10 words)
5. Return ONLY a JSON array with this exact format:
[
{{
"question": "Clear question text here?",
"options": [
"Brief option 1",
"Brief option 2",
"Brief option 3",
"Brief option 4"
],
"correct_answer": 0
}}
]
Text to generate questions from:
{text}
Important: Return only the JSON array, no other text or formatting."""
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:
def __init__(self, api_key: str):
self.quiz_generator = QuizGenerator(api_key)
self.certificate_generator = CertificateGenerator()
self.current_questions: List[Question] = []
self.document_processor = DocumentProcessor()
# Add this new method
def process_uploaded_file(self, file_path: str) -> str:
"""Process uploaded file and return status message"""
try:
if not file_path:
return "⚠️ Please upload a file first."
self.document_processor.process_file(file_path)
return "✅ File processed successfully! Click 'Create Index' to continue."
except Exception as e:
return f"❌ Error processing file: {str(e)}"
# Add this new method
def create_index(self) -> str:
"""Create vector store index and return status message"""
success = self.document_processor.create_index()
if success:
return "✅ Index created successfully!"
return "❌ Failed to create index. Please try again."
# Add this new method
def clear_index(self) -> str:
"""Clear vector store index and return status message"""
return self.document_processor.clear_index()
def generate_questions(self, text: str, num_questions: int) -> Tuple[bool, List[Question]]:
"""
Generate quiz questions using the QuizGenerator
Returns (success, questions) tuple
"""
try:
questions = self.quiz_generator.generate_questions(text, num_questions)
self.current_questions = questions
return True, questions
except Exception as e:
print(f"Error generating questions: {e}")
return False, []
def calculate_score(self, answers: List[Optional[str]]) -> Tuple[float, bool, List[QuizFeedback]]:
"""
Calculate the quiz score and generate feedback
Returns (score, passed, feedback) tuple
"""
if not answers or not self.current_questions:
return 0, False, []
feedback = []
correct = 0
for question, answer in zip(self.current_questions, answers):
if answer is None:
feedback.append(QuizFeedback(False, None, question.options[question.correct_answer]))
continue
try:
selected_index = question.options.index(answer)
is_correct = selected_index == question.correct_answer
if is_correct:
correct += 1
feedback.append(QuizFeedback(
is_correct,
answer,
question.options[question.correct_answer]
))
except ValueError:
feedback.append(QuizFeedback(False, answer, question.options[question.correct_answer]))
score = (correct / 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")
# Add file upload section
with gr.Row():
file_upload = gr.File(
label="Upload PDF or Word Document",
file_types=[".pdf", ".doc", ".docx"],
type="filepath"
)
file_status = gr.Markdown("")
with gr.Row():
process_btn = gr.Button("Process File", variant="secondary", size="sm")
index_btn = gr.Button("Create Index", variant="secondary", size="sm")
clear_index_btn = gr.Button("Clear Index", variant="secondary", size="sm")
# Or use text input
text_input = gr.Textbox(
label="Or Enter Learning Content Directly",
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 (Hidden by default)
with gr.Tab(id=3, label="🎓 Step 3: Get Certified", visible=False) as cert_tab:
score_display = gr.Number(label="Your Score", visible=False)
course_name = gr.Textbox(
label="Certification Title",
value="Professional Assessment Certification",
interactive=False # Make it non-editable
)
certificate_display = gr.Image(label="Your Certificate")
# Update view_cert_btn click handler to show certification tab
def show_certificate_tab():
return [
gr.update(visible=True), # Make cert_tab visible
gr.update(selected=3) # Switch to cert_tab
]
# Helper Functions
def process_file(file_path):
if not file_path:
return "⚠️ Please upload a file first."
return quiz_app.process_uploaded_file(file_path)
def create_index():
return quiz_app.create_index()
def clear_index():
return quiz_app.clear_index()
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=show_certificate_tab,
outputs=[cert_tab, 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
)
process_btn.click(
fn=process_file,
inputs=[file_upload],
outputs=[file_status]
)
index_btn.click(
fn=create_index,
outputs=[file_status]
)
clear_index_btn.click(
fn=clear_index,
outputs=[file_status]
)
return demo
if __name__ == "__main__":
demo = create_quiz_interface()
demo.launch()