CertifyMeAI / 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
# Initialize Groq client
client = Groq(
api_key=os.getenv("GROQ_API_KEY")
)
class QuizApp:
def __init__(self):
self.current_questions = []
self.current_answers = []
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 in this exact JSON format:
[
{{
"question": "What is the main topic discussed?",
"options": [
"Correct answer",
"Wrong answer 1",
"Wrong answer 2",
"Wrong answer 3"
],
"correct_answer": 0
}}
]"""
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
)
response_text = response.choices[0].message.content.strip()
response_text = response_text.replace("```json", "").replace("```", "").strip()
questions = json.loads(response_text)
self.current_questions = questions
return questions
except Exception as e:
print(f"Error generating questions: {e}")
return []
def calculate_score(self, answers):
if not answers or not self.current_questions:
return 0
total = len(self.current_questions)
correct = sum(1 for q, a in zip(self.current_questions, answers)
if q['correct_answer'] == a)
return (correct / total) * 100
def generate_certificate(self, name, score, course_name, company_logo=None, participant_photo=None):
try:
certificate = Image.new('RGB', (1200, 800), '#F0F8FF')
draw = ImageDraw.Draw(certificate)
try:
title_font = ImageFont.truetype("arial.ttf", 60)
text_font = ImageFont.truetype("arial.ttf", 40)
subtitle_font = ImageFont.truetype("arial.ttf", 30)
except:
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 or "Participant", 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 or "Assessment", 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")
current_date = datetime.now().strftime("%B %d, %Y")
draw.text((600, 700), current_date, font=text_font, fill='black', anchor="mm")
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}")
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}")
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_interface():
quiz_app = QuizApp()
def generate_question_blocks(questions):
blocks = []
for i, q in enumerate(questions):
with gr.Group():
gr.Markdown(f"### Question {i+1}")
gr.Markdown(q["question"])
radio = gr.Radio(
choices=q["options"],
type="index",
label="Select your answer"
)
blocks.append(radio)
return blocks
def update_quiz(text, num_questions):
questions = quiz_app.generate_questions(text, num_questions)
if not questions:
return [gr.Group(visible=False)], 1, []
quiz_blocks = generate_question_blocks(questions)
return quiz_blocks, 1, questions
def calculate_final_score(answers, questions):
score = quiz_app.calculate_score(answers)
return score, 2
with gr.Blocks(title="CertifyMe AI") as demo:
current_tab = gr.State(0)
current_questions = gr.State([])
gr.Markdown("""
# 🎓 CertifyMe AI
### Transform Your Knowledge into Recognized Achievements
""")
with gr.Tabs() as tabs:
# Step 1: Profile Setup
with gr.Tab("📋 Step 1: Profile Setup") as tab1:
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
)
with gr.Row():
num_questions = gr.Slider(
minimum=1,
maximum=5,
value=3,
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")
# Step 2: Take Assessment
with gr.Tab("📝 Step 2: Take Assessment") as tab2:
quiz_container = gr.Group()
with quiz_container:
question_blocks = []
submit_btn = gr.Button("Submit Assessment", variant="primary")
gr.Markdown("### Answer all questions and click Submit to get your score")
# Step 3: Get Certified
with gr.Tab("🎓 Step 3: Get Certified") as tab3:
score_display = gr.Number(label="Your Score", value=0)
course_name = gr.Textbox(
label="Certification Title",
value="Professional Assessment Certification"
)
certificate_display = gr.Image(label="Your Certificate")
# Event handlers
generate_btn.click(
fn=update_quiz,
inputs=[text_input, num_questions],
outputs=[quiz_container, current_tab, current_questions]
).then(
fn=lambda tab: gr.Tabs(selected=tab),
inputs=[current_tab],
outputs=[tabs]
)
submit_btn.click(
fn=calculate_final_score,
inputs=[quiz_container, current_questions],
outputs=[score_display, current_tab]
).then(
fn=lambda tab: gr.Tabs(selected=tab),
inputs=[current_tab],
outputs=[tabs]
)
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
if __name__ == "__main__":
if not os.getenv("GROQ_API_KEY"):
print("Please set your GROQ_API_KEY environment variable")
exit(1)
demo = create_quiz_interface()
demo.launch()