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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
# Initialize Groq client
client = Groq(
api_key=os.getenv("GROQ_API_KEY")
)
class QuizApp:
def __init__(self):
self.current_questions = []
self.user_data = {}
def generate_questions(self, text, num_questions):
prompt = f"""Create {num_questions} multiple choice questions based on this text:
{text}
Each question should:
1. Have a clear, concise question text
2. Have exactly 4 options
3. Have only one correct answer
4. Be educational and test understanding
Return the questions in this JSON format:
[
{{
"question": "Question text?",
"options": [
"Correct answer",
"Wrong answer 1",
"Wrong answer 2",
"Wrong answer 3"
],
"correct_answers": [0]
}}
]
Only return the JSON array, no other text."""
try:
response = client.chat.completions.create(
messages=[
{"role": "system", "content": "You are a quiz generator that creates clear, single-choice questions."},
{"role": "user", "content": prompt}
],
model="llama-3.2-3b-preview",
temperature=0.5,
max_tokens=2048,
top_p=0.9
)
response_text = response.choices[0].message.content.strip()
# Remove any markdown formatting
response_text = response_text.replace("```json", "").replace("```", "").strip()
questions = json.loads(response_text)
if isinstance(questions, list):
self.current_questions = questions
else:
self.current_questions = questions.get("questions", [])
# Validate question format
for q in self.current_questions:
if not all(key in q for key in ["question", "options", "correct_answers"]):
raise ValueError("Invalid question format")
if len(q["options"]) != 4:
raise ValueError("Each question must have exactly 4 options")
return json.dumps(self.current_questions, indent=2)
except Exception as e:
print(f"Error generating questions: {e}")
return json.dumps([{
"question": "Error generating questions. Please try again.",
"options": ["Error", "Error", "Error", "Error"],
"correct_answers": [0]
}])
def calculate_score(self, answers):
try:
answers = json.loads(answers) if isinstance(answers, str) else answers
total = len(self.current_questions)
correct = 0
for q, a in zip(self.current_questions, answers):
if set(a) == set(q["correct_answers"]):
correct += 1
return (correct / total) * 100
except Exception as e:
print(f"Error calculating score: {e}")
return 0
def generate_certificate(self, name, score, course_name, company_logo=None, participant_photo=None):
try:
# Create certificate with a light blue background
certificate = Image.new('RGB', (1200, 800), '#F0F8FF')
draw = ImageDraw.Draw(certificate)
# Load fonts
try:
title_font = ImageFont.truetype("arial.ttf", 60)
text_font = ImageFont.truetype("arial.ttf", 40)
subtitle_font = ImageFont.truetype("arial.ttf", 30)
except:
print("Using default font as Arial not found")
title_font = ImageFont.load_default()
text_font = ImageFont.load_default()
subtitle_font = ImageFont.load_default()
# Add decorative border
draw.rectangle([20, 20, 1180, 780], outline='#4682B4', width=3)
# Draw certificate content
draw.text((600, 100), "CertifyMe AI", font=title_font, fill='#4682B4', anchor="mm")
draw.text((600, 160), "Certificate of Achievement", font=subtitle_font, fill='#4682B4', anchor="mm")
draw.text((600, 300), "This is to certify that", font=text_font, fill='black', anchor="mm")
draw.text((600, 380), name, font=text_font, fill='#4682B4', anchor="mm")
draw.text((600, 460), "has successfully completed", font=text_font, fill='black', anchor="mm")
draw.text((600, 540), course_name, font=text_font, fill='#4682B4', anchor="mm")
draw.text((600, 620), f"with a score of {score:.1f}%", font=text_font, fill='black', anchor="mm")
# Add date
current_date = datetime.now().strftime("%B %d, %Y")
draw.text((600, 700), current_date, font=text_font, fill='black', anchor="mm")
# Add logo if provided
if company_logo is not None:
try:
logo = Image.open(company_logo)
logo = logo.resize((150, 150))
certificate.paste(logo, (50, 50))
except Exception as e:
print(f"Error adding logo: {e}")
# Add photo if provided
if participant_photo is not None:
try:
photo = Image.open(participant_photo)
photo = photo.resize((150, 150))
certificate.paste(photo, (1000, 50))
except Exception as e:
print(f"Error adding photo: {e}")
# Save certificate
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.png')
certificate.save(temp_file.name)
return temp_file.name
except Exception as e:
print(f"Error generating certificate: {e}")
return None
def create_quiz_app():
quiz_app = QuizApp()
with gr.Blocks(title="CertifyMe AI", theme=gr.themes.Soft()) as demo:
current_tab = gr.State(0)
current_questions = gr.State([])
user_answers = gr.State([])
gr.Markdown("""
# 🎓 CertifyMe AI
### Transform Your Knowledge into Recognized Achievements
""")
with gr.Tabs() as tabs:
# Step 1: Profile Setup (remains largely the same)
with gr.Tab("📋 Step 1: Profile Setup", id=0) as tab1:
# ... (previous profile setup code remains the same)
# Step 2: Take Assessment (completely revised)
with gr.Tab("📝 Step 2: Take Assessment", id=1) as tab2:
def format_questions(questions_json):
try:
questions = json.loads(questions_json) if isinstance(questions_json, str) else questions_json
return questions
except:
return []
def display_questions(questions):
with gr.Group() as quiz_container:
answers = []
for i, q in enumerate(questions):
gr.Markdown(f"### Question {i+1}")
gr.Markdown(q["question"])
radio = gr.Radio(
choices=q["options"],
label="Select your answer",
value=None,
visible=True
)
answers.append(radio)
return quiz_container
def process_answers(answers):
processed = []
for i, ans in enumerate(answers):
if ans is not None:
processed.append([i])
return processed
questions_display = gr.JSON(visible=False) # Hidden JSON storage
quiz_area = gr.Group(visible=False) # Container for dynamic quiz content
submit_btn = gr.Button("Submit Assessment", variant="primary", visible=False)
score_display = gr.Number(label="Your Score", visible=False)
# Update the question display when questions are generated
questions_display.change(
fn=lambda q: (
gr.Group(visible=True),
gr.Button(visible=True),
format_questions(q)
),
inputs=[questions_display],
outputs=[quiz_area, submit_btn, current_questions]
)
# Step 3: Get Certified
with gr.Tab("🎓 Step 3: Get Certified", id=2) as tab3:
gr.Markdown("""
### Certification
- Your certificate will be generated automatically if you score 80% or above
- The certificate includes your name, score, and completion date
- Company logo and photo will be included if provided
- You can download your certificate once it's generated
""")
course_name = gr.Textbox(
label="Certification Title",
value="Professional Assessment Certification"
)
certificate_display = gr.Image(label="Your Certificate")
# Helper functions for tab navigation
def generate_and_switch_tab(text, num_questions):
questions = quiz_app.generate_questions(text, num_questions)
return questions, 1, gr.Markdown(visible=True), gr.Button(visible=True)
def calculate_score(selected_answers, questions):
correct = 0
total = len(questions)
for q, ans in zip(questions, selected_answers):
if set(ans) == set(q["correct_answers"]):
correct += 1
score = (correct / total) * 100 if total > 0 else 0
return score, 2
# Event handlers
generate_btn.click(
fn=generate_and_switch_tab,
inputs=[text_input, num_questions],
outputs=[questions_display, current_tab, quiz_area, submit_btn]
).then(
fn=lambda tab: gr.Tabs(selected=tab),
inputs=[current_tab],
outputs=[tabs]
)
submit_btn.click(
fn=calculate_score,
inputs=[user_answers, current_questions],
outputs=[score_display, current_tab]
).then(
fn=lambda tab: gr.Tabs(selected=tab),
inputs=[current_tab],
outputs=[tabs]
)
# Certificate generation remains the same
score_display.change(
fn=lambda score, user_name, course, logo, photo: (
quiz_app.generate_certificate(user_name, score, course, logo, photo)
if score >= 80 else None
),
inputs=[score_display, name, course_name, company_logo, participant_photo],
outputs=certificate_display
)
return demo
# Main execution remains the same
if __name__ == "__main__":
if not os.getenv("GROQ_API_KEY"):
print("Please set your GROQ_API_KEY environment variable")
exit(1)
demo = create_quiz_app()
demo.launch() |