Spaces:
Running
Running
File size: 9,576 Bytes
67f169b 4f91be2 67f169b 4f91be2 67f169b deff9b7 67f169b deff9b7 67f169b 0ef1d43 67f169b 0ef1d43 deff9b7 b1c910f deff9b7 0ef1d43 deff9b7 b1c910f deff9b7 67f169b 4f91be2 b1c910f 0ef1d43 8cd587a 0ef1d43 deff9b7 b1c910f 0ef1d43 deff9b7 0ef1d43 b1c910f deff9b7 67f169b deff9b7 4f91be2 deff9b7 67f169b b1c910f 4f91be2 b1c910f deff9b7 b1c910f deff9b7 b1c910f 67f169b deff9b7 b1c910f deff9b7 4f91be2 deff9b7 0ef1d43 b1c910f deff9b7 4f91be2 b1c910f deff9b7 b1c910f deff9b7 b1c910f 67f169b deff9b7 67f169b deff9b7 b1c910f 67f169b deff9b7 b1c910f 67f169b 4f91be2 deff9b7 1f49f47 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 |
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() |