import gradio as gr
from groq import Groq
import os
from PIL import Image, ImageDraw, ImageFont, ImageFilter
from datetime import datetime
import json
import tempfile
from typing import List, Dict, Tuple, Optional
from dataclasses import dataclass
import subprocess
import re
import random
@dataclass
class Question:
question: str
options: List[str]
correct_answer: int
@dataclass
class QuizFeedback:
is_correct: bool
selected: Optional[str]
correct_answer: str
class QuizGenerator:
def __init__(self, api_key: str):
self.client = Groq(api_key=api_key)
def generate_questions(self, text: str, num_questions: int, temperature: float = 0) -> List[Question]:
"""Generate quiz questions using gemma2-9b-it with temperature control"""
prompt = self._create_prompt(text, num_questions)
try:
response = self.client.chat.completions.create(
messages=[
{
"role": "system",
"content": "You are a quiz generator. Generate multiple choice questions that are clear and focused."
},
{
"role": "user",
"content": prompt
}
],
model="gemma2-9b-it",
temperature=temperature, # Use the temperature parameter
max_tokens=6000
)
# Extract content safely
content = response.choices[0].message.content
if not content:
raise ValueError("Empty response content")
# Parse and validate questions
questions = self._parse_response(content)
validated = self._validate_questions(questions, num_questions)
# Check if we have exactly the requested number of questions
if len(validated) < num_questions:
# Generate additional questions if needed
additional_needed = num_questions - len(validated)
additional_questions = self.generate_questions(text, additional_needed)
validated.extend(additional_questions)
elif len(validated) > num_questions:
# Trim to exact number needed
validated = validated[:num_questions]
if len(validated) != num_questions:
raise ValueError(f"Failed to generate exactly {num_questions} questions")
return validated
except Exception as e:
print(f"Error in generate_questions: {str(e)}")
if 'response' in locals():
print("Response content:", content if 'content' in locals() else None)
raise QuizGenerationError(f"Failed to generate questions: {str(e)}")
def _validate_questions(self, questions: List[Dict], num_questions: int) -> List[Question]:
"""Validate questions with strict checking and ensure correct number"""
validated = []
for q in questions:
try:
# Skip invalid questions
if not isinstance(q, dict):
continue
# Check required fields
if not all(key in q for key in ['question', 'options', 'correct_answer']):
continue
# Validate options
if not isinstance(q['options'], list) or len(q['options']) != 4:
continue
# Validate correct_answer
try:
correct_idx = int(q['correct_answer'])
if not 0 <= correct_idx <= 3:
continue
except (ValueError, TypeError):
continue
# Validate question content
if not q['question'].strip() or any(not opt.strip() for opt in q['options']):
continue
# Create validated Question object
validated.append(Question(
question=str(q['question']).strip(),
options=[str(opt).strip() for opt in q['options']],
correct_answer=correct_idx
))
except Exception as e:
print(f"Validation error: {str(e)}")
continue
# Stop if we have enough validated questions
if len(validated) == num_questions:
break
return validated
def _create_prompt(self, text: str, num_questions: int) -> str:
"""Create a simple, clear prompt optimized for gemma2-9b-it with emphasis on exact number"""
return f"""Create exactly {num_questions} multiple choice questions about this text. Return only the JSON array in this exact format:
[
{{
"question": "Write the question here?",
"options": [
"First option",
"Second option",
"Third option",
"Fourth option"
],
"correct_answer": 0
}}
]
Rules:
1. Return only the JSON array
2. Generate exactly {num_questions} questions
3. Each question must have exactly 4 options
4. correct_answer must be 0, 1, 2, or 3
5. No explanations or additional text
Text to use:
{text.strip()}"""
def _parse_response(self, response_text: str) -> List[Dict]:
"""Parse response with improved error handling"""
try:
# Clean up the response text
cleaned = response_text.strip()
# Remove any markdown formatting
cleaned = cleaned.replace('```json', '').replace('```', '').strip()
# Find the JSON array
start = cleaned.find('[')
end = cleaned.rfind(']') + 1
if start == -1 or end == 0:
raise ValueError("No JSON array found in response")
json_str = cleaned[start:end]
# Remove any trailing commas before closing brackets
json_str = re.sub(r',(\s*})', r'\1', json_str)
json_str = re.sub(r',(\s*])', r'\1', json_str)
# Try to parse the cleaned JSON
try:
return json.loads(json_str)
except json.JSONDecodeError:
# If that fails, try using ast.literal_eval as a fallback
import ast
return ast.literal_eval(json_str)
except Exception as e:
print(f"Parse error details: {str(e)}")
print(f"Attempted to parse: {response_text}")
# Last resort: try to fix the JSON manually
try:
# Remove any trailing commas and fix newlines
fixed = re.sub(r',(\s*[}\]])', r'\1', response_text)
fixed = fixed.replace('}\n{', '},{')
fixed = fixed.strip()
if not fixed.startswith('['):
fixed = '[' + fixed
if not fixed.endswith(']'):
fixed = fixed + ']'
return json.loads(fixed)
except:
raise ValueError(f"Failed to parse response: {str(e)}")
def _validate_questions(self, questions: List[Dict], num_questions: int) -> List[Question]:
"""Validate questions with strict checking"""
validated = []
for q in questions[:num_questions]:
try:
# Skip invalid questions
if not isinstance(q, dict):
continue
# Check required fields
if not all(key in q for key in ['question', 'options', 'correct_answer']):
continue
# Validate options
if not isinstance(q['options'], list) or len(q['options']) != 4:
continue
# Validate correct_answer
try:
correct_idx = int(q['correct_answer'])
if not 0 <= correct_idx <= 3:
continue
except (ValueError, TypeError):
continue
# Create validated Question object
validated.append(Question(
question=str(q['question']).strip(),
options=[str(opt).strip() for opt in q['options']],
correct_answer=correct_idx
))
except Exception as e:
print(f"Validation error: {str(e)}")
continue
return validated
def _is_valid_json(self, json_str: str) -> bool:
"""Check if a string is valid JSON"""
try:
json.loads(json_str)
return True
except:
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):
"""Add professional border with improved corners"""
padding = 40
border_width = 2
corner_radius = 10
# Draw rounded rectangle border
x0, y0 = padding, padding
x1, y1 = self.certificate_size[0] - padding, self.certificate_size[1] - padding
# Draw corners
draw.arc((x0, y0, x0 + corner_radius * 2, y0 + corner_radius * 2), 180, 270, '#1C1D1F', border_width)
draw.arc((x1 - corner_radius * 2, y0, x1, y0 + corner_radius * 2), 270, 0, '#1C1D1F', border_width)
draw.arc((x0, y1 - corner_radius * 2, x0 + corner_radius * 2, y1), 90, 180, '#1C1D1F', border_width)
draw.arc((x1 - corner_radius * 2, y1 - corner_radius * 2, x1, y1), 0, 90, '#1C1D1F', border_width)
# Draw lines
draw.line((x0 + corner_radius, y0, x1 - corner_radius, y0), '#1C1D1F', border_width) # Top
draw.line((x0 + corner_radius, y1, x1 - corner_radius, y1), '#1C1D1F', border_width) # Bottom
draw.line((x0, y0 + corner_radius, x0, y1 - corner_radius), '#1C1D1F', border_width) # Left
draw.line((x1, y0 + corner_radius, x1, y1 - corner_radius), '#1C1D1F', border_width) # Right
def _add_content(
self,
draw: ImageDraw.Draw,
fonts: Dict[str, ImageFont.FreeTypeFont],
name: str,
course_name: str,
score: float,
y_offset: int = 140
):
"""Add content with adjusted vertical positioning"""
# Add "CERTIFICATE OF COMPLETION" text
draw.text((60, y_offset), "CERTIFICATE OF COMPLETION", font=fonts['subtitle'], fill='#666666')
# Add course name (large and bold)
course_name = course_name.strip() or "Assessment"
draw.text((60, y_offset + 60), course_name, font=fonts['title'], fill='#1C1D1F')
# Add instructor info
draw.text((60, y_offset + 160), "Instructor", font=fonts['subtitle'], fill='#666666')
draw.text((60, y_offset + 190), "CA Pradeep Gujaran", font=fonts['text'], fill='#1C1D1F')
# Add participant name (large)
name = name.strip() or "Participant"
draw.text((60, y_offset + 280), name, font=fonts['name'], fill='#1C1D1F')
# Add date and score info
date_str = datetime.now().strftime("%b. %d, %Y")
# Date section
draw.text((60, y_offset + 360), "Date", font=fonts['subtitle'], fill='#666666')
draw.text((60, y_offset + 390), date_str, font=fonts['text'], fill='#1C1D1F')
# Score section
draw.text((300, y_offset + 360), "Score", font=fonts['subtitle'], fill='#666666')
draw.text((300, y_offset + 390), f"{float(score):.1f}%", font=fonts['text'], fill='#1C1D1F')
# Footer section
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.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((250, 120))
# 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):
"""Add a clear circular profile photo in the top-right corner with adjusted position"""
try:
if not photo_path or not os.path.exists(photo_path):
print(f"Photo path does not exist: {photo_path}")
return
# Open and process photo
photo = Image.open(photo_path)
# Define size for circular photo
size = (120, 120)
# Convert to RGB if not already
if photo.mode not in ('RGB', 'RGBA'):
photo = photo.convert('RGB')
# Create high-quality circular mask
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
aspect = photo.width / photo.height
if aspect > 1:
new_height = size[1]
new_width = int(new_height * aspect)
else:
new_width = size[0]
new_height = int(new_width / aspect)
photo = photo.resize((new_width, max(new_height, 1)), Image.Resampling.LANCZOS)
# Center crop
if aspect > 1:
left = (new_width - size[0]) // 2
photo = photo.crop((left, 0, left + size[0], size[1]))
else:
top = (new_height - size[1]) // 2
photo = photo.crop((0, top, size[0], top + size[1]))
# Create circular photo
output = Image.new('RGBA', size, (0, 0, 0, 0))
output.paste(photo, (0, 0))
output.putalpha(mask)
# Adjusted position - moved down from top
photo_x = certificate.width - size[0] - 60 # 60px from right
photo_y = 50 # Increased from 40 to 50px from top
# Add white background circle
bg = Image.new('RGBA', size, (255, 255, 255, 255))
certificate.paste(bg, (photo_x, photo_y), mask=mask)
# Paste the photo
certificate.paste(output, (photo_x, photo_y), mask=output)
print(f"Successfully added photo at position ({photo_x}, {photo_y})")
except Exception as e:
print(f"Error adding photo: {str(e)}")
import traceback
traceback.print_exc()
def generate(
self,
score: float,
name: str,
course_name: str,
company_logo: Optional[str] = None,
participant_photo: Optional[str] = None
) -> str:
"""Generate certificate with improved photo handling"""
try:
# Create base certificate
certificate = Image.new('RGB', self.certificate_size, self.background_color)
draw = ImageDraw.Draw(certificate)
# Add border
self._add_professional_border(draw)
# Load fonts
fonts = self._load_fonts()
# Add company logo if provided
if company_logo and os.path.exists(company_logo):
self._add_logo(certificate, company_logo)
# Add participant photo if provided
if participant_photo:
print(f"Processing photo: {participant_photo}") # Debug info
self._add_photo(certificate, participant_photo)
# Add content
self._add_content(draw, fonts, str(name), str(course_name), float(score))
# Save certificate
return self._save_certificate(certificate)
except Exception as e:
print(f"Error generating certificate: {str(e)}")
import traceback
traceback.print_exc()
return None
def _create_base_certificate(self) -> Image.Image:
"""Create base certificate with improved background"""
# Create base image
certificate = Image.new('RGB', self.certificate_size, self.background_color)
# Add subtle gradient background (optional)
draw = ImageDraw.Draw(certificate)
# Add very subtle grain texture for professional look (optional)
width, height = certificate.size
for x in range(0, width, 4):
for y in range(0, height, 4):
if random.random() > 0.5:
draw.point((x, y), fill=(250, 250, 250))
return certificate
def _save_certificate(self, certificate: Image.Image) -> str:
"""Save certificate with improved error handling"""
try:
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.png')
certificate.save(temp_file.name, 'PNG', quality=95)
print(f"Certificate saved to: {temp_file.name}") # Debug info
return temp_file.name
except Exception as e:
print(f"Error saving certificate: {str(e)}")
return None
class QuizApp:
def __init__(self, api_key: str):
self.quiz_generator = QuizGenerator(api_key)
self.certificate_generator = CertificateGenerator()
self.current_questions: List[Question] = []
self.logo_path = "Logo.png"
self.selected_level = "Basic" # Default level
# Map difficulty levels to number of questions
self.difficulty_levels = {
"Basic": 5,
"Intermediate": 10,
"Advanced": 20
}
# Add fixed content here
self.fixed_content = """Power BI stands as Microsoft's flagship business intelligence platform, offering a comprehensive suite of tools for data transformation, analysis, and visualization. At its core, Power BI uses Power Query to connect to various data sources and transform data. The Add Column feature in Power Query provides multiple ways to create new columns. Custom columns can be created using the M formula language, where you can write expressions like if [Sales] > 1000 then "High" else "Low" to categorize values. The 'Column from Examples' feature is particularly powerful, allowing users to provide a few examples of the desired output, and Power BI automatically detects the pattern to fill in the rest of the column. For instance, if you want to extract the first name from a full name column, you simply type a couple of examples, and Power Query recognizes the pattern. Conditional columns can be created using the built-in interface where you can set multiple if-then conditions without writing any code, such as creating a shipping priority column based on order value ranges.
Time Intelligence and the Date dimension play a crucial role in Power BI analysis. A well-structured date dimension enables powerful time-based calculations and comparisons. The date dimension typically includes various date attributes such as Year, Quarter, Month, Week, Day, and custom fiscal periods. These attributes can be created using DAX date functions or Power Query transformations. For instance, DAX provides specialized time intelligence functions like TOTALYTD for year-to-date calculations, SAMEPERIODLASTYEAR for year-over-year comparisons, and PREVIOUSMONTH for month-over-month analysis. A proper date dimension should include continuous dates without gaps, even for dates without transactions, ensuring accurate time-based calculations. When creating time intelligence measures, the date dimension enables calculations like running totals, moving averages, and period-to-date aggregations. For example, a year-to-date sales measure can be created using CALCULATE(SUM(Sales[Amount]), DATESYTD(Dates[Date])), while a previous year comparison might use CALCULATE(SUM(Sales[Amount]), SAMEPERIODLASTYEAR(Dates[Date])).
Custom columns in Power Query enable advanced data transformations through various built-in functions. The Index Column feature adds row numbers useful for creating unique identifiers. Column from Selection splits existing columns based on delimiters or specific positions. The Extract feature pulls out specific parts of text, dates, or numbers. For example, you can extract email domains, split addresses into components, or create date parts like month names from full dates. Duplicate Column creates a copy of existing columns, useful when you need to maintain the original data while creating transformed versions. The Statistics feature adds columns with running totals, running averages, or row differences, essential for financial and analytical reporting.
Data integration in Power BI offers two main methods: Append and Merge. When datasets are appended, additional rows are added to the attribute table. However, when datasets are merged or joined, additional columns are added. For example, appending is useful when combining monthly sales data where each month's data is in the same format - the months stack on top of each other adding more rows. Merging is useful when you want to add more information by bringing in columns from another table - like adding customer details (name, address, phone) to a sales table using a customer ID to match the records.
Advanced time intelligence calculations in DAX require careful consideration of filter context and date relationships. The CALCULATE function, combined with time intelligence functions, allows for sophisticated period comparisons. For example, to calculate the growth percentage between this year and last year, you might create a measure like: Growth % = DIVIDE(([Current Year Sales] - [Last Year Sales]), [Last Year Sales]). Rolling calculations, like 3-month moving averages, can be created using functions like DATESINPERIOD or DATEADD. These functions work in conjunction with your date dimension to provide dynamic date ranges based on the current filter context. Time intelligence functions also support custom calendar scenarios, such as 445 calendars or fiscal years that don't align with calendar years, through proper configuration of the date dimension and appropriate DAX formulas.
DAX calculated columns and measures serve different purposes in time-based analysis. While calculated columns compute static values for each row, measures dynamically respond to user interactions and filter contexts. For example, a Month Name calculated column in a date dimension would be created once and stored in the model, while a Month-to-Date Sales measure would recalculate based on the selected time period in the report. Understanding this distinction is crucial for creating efficient time-based calculations and maintaining good model performance.
Power BI's visualization capabilities for time-based analysis include specialized charts like time series decomposition, forecasting, and trend analysis. The Analytics pane in visualizations offers features like trend lines, moving averages, and forecasts that automatically work with your date dimension. Line charts and area charts effectively display trends over time, while waterfall charts can show period-over-period changes. Matrix visuals with time hierarchies enable drill-down capabilities from years to quarters to months, providing users with interactive exploration of time-based data.
Performance optimization in Power BI involves proper date dimension design and efficient time intelligence calculations. The date dimension should be kept as small as possible while including all necessary attributes. Using a single, shared date dimension across multiple fact tables ensures consistency in time-based calculations and reduces model size. Query folding in Power Query helps optimize data transformation by pushing operations back to the source database when possible. Time intelligence calculations should leverage variables and avoid unnecessary complexity to maintain good report performance.
Creating relationships with the date dimension requires careful consideration. Each fact table containing dates should have a single relationship to the shared date dimension. This enables consistent time intelligence calculations across the entire model. When working with multiple date columns (like Order Date and Ship Date), consider creating role-playing dimensions or using appropriate relationship configurations to maintain model integrity while enabling different date-based perspectives of the data."""
def get_certificate_title(self, base_title: str) -> str:
"""Get certificate title with difficulty level"""
return f"{base_title} - {self.selected_level} Level"
def generate_questions(self, text: str, num_questions: int, temperature: float) -> Tuple[bool, List[Question]]:
"""
Generate quiz questions using the QuizGenerator
Returns (success, questions) tuple
"""
try:
questions = self.quiz_generator.generate_questions(text, num_questions, temperature)
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}
{symbol} Your answer: {f.selected}
{'' if f.is_correct else f'
Correct answer: {f.correct_answer}'}
"""
# 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"""
🎉 Congratulations!
You passed the assessment with a score of {score:.1f}%
Your certificate has been generated.
"""
def _create_failure_message(self, score: float) -> str:
return f"""
Please Try Again
Your score: {score:.1f}%
You need 80% or higher to pass and receive a certificate.
"""
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("""
🎓 Power BI Assessment Certification
Transform Your Knowledge into Recognized Achievements
Assessment Overview:
- 📌 Basic Level: 5 questions - Perfect for beginners
- 📚 Intermediate Level: 10 questions - For those with Power BI experience
- 🎯 Advanced Level: 20 questions - Comprehensive assessment
- ⏱️ Passing Score: 80% or higher
- 🏆 Certificate: Awarded upon successful completion
This assessment evaluates your understanding of Power BI.
""", show_label=False)
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",
value=quiz_app.fixed_content, # Set the fixed content
interactive=False, # Make it non-editable
lines=10
)
difficulty_level = gr.Radio(
choices=["Basic", "Intermediate", "Advanced"],
value="Basic",
label="Select Difficulty Level",
info="Basic: 5 questions | Intermediate: 10 questions | Advanced: 20 questions")
# Add temperature slider
temperature = gr.Slider(
minimum=0,
maximum=1,
value=0,
step=0.1,
label="Question Creativity Level",
info="0 = More focused, 1 = More creative"
)
with gr.Row():
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=lambda: f"Power BI Assessment Certification", # Dynamic title with level
interactive=False
)
certificate_display = gr.Image(label="Your Certificate")
def show_certificate_tab():
return [
gr.update(visible=True), # Make cert_tab visible
gr.update(
value=f"Power BI Assessment Certification" # Update title with level
),
gr.update(selected=3) # Switch to cert_tab
]
# Helper Functions
def on_generate_questions(text, level, temp):
quiz_app.selected_level = level
num_questions = quiz_app.difficulty_levels[level]
success, questions = quiz_app.generate_questions(quiz_app.fixed_content, num_questions, temp)
if not success or not questions:
return [
"",
gr.update(visible=False),
gr.update(choices=[], visible=False),
"",
[],
0,
[None] * num_questions, # Updated to use dynamic size
gr.update(selected=1),
gr.update(visible=False),
gr.update(visible=False)
]
question = questions[0]
question_md = f"""### Question 1\n{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)]):
# Create list of unanswered question numbers
unanswered = [i+1 for i, a in enumerate(final_answers[:len(questions)]) if a is None]
warning_content = f"""
⚠️ Please Complete All Questions
Unanswered Questions: {', '.join(map(str, unanswered))}
"""
return [
warning_content, # feedback_box
gr.update(visible=True), # results_group
0, # score
"", # result_message
gr.update(visible=True), # question_box
gr.update(visible=True), # reset_btn
gr.update(visible=False), # view_cert_btn
gr.update(selected=2) # tabs
]
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, difficulty_level, temperature],
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, difficulty_level, temperature],
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, course_name, tabs] # Add course_name to outputs
)
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, p: quiz_app.certificate_generator.generate(
s, n,
quiz_app.get_certificate_title(c), # Add difficulty level to title
quiz_app.logo_path, p
) or gr.update(value=None),
inputs=[score_display, name, course_name, participant_photo],
outputs=certificate_display
)
return demo
if __name__ == "__main__":
demo = create_quiz_interface()
demo.launch()