Spaces:
Running
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capradeepgujaran
commited on
Commit
•
fba3933
1
Parent(s):
1b4472e
Update app.py
Browse files
app.py
CHANGED
@@ -525,18 +525,36 @@ class QuizApp:
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self.quiz_generator = QuizGenerator(api_key)
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self.certificate_generator = CertificateGenerator()
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self.current_questions: List[Question] = []
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self.
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def set_learning_content(self, text: str) -> None:
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"""Set the learning content if not already set"""
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if not self.learning_content:
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self.learning_content = text.strip()
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def clear_learning_content(self) -> None:
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"""Clear the stored learning content"""
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self.learning_content = None
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def generate_questions(self, text: str, num_questions: int) -> Tuple[bool, List[Question]]:
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"""
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Generate quiz questions using the QuizGenerator
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@@ -728,10 +746,12 @@ def create_quiz_interface():
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text_input = gr.Textbox(
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label="Learning Content",
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lines=10
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)
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num_questions = gr.Slider(
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minimum=1,
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maximum=20,
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@@ -825,28 +845,7 @@ def create_quiz_interface():
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# Helper Functions
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def on_generate_questions(text, num_questions):
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return [
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"",
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gr.update(visible=False),
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gr.update(choices=[], visible=False),
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"",
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[],
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0,
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[None] * 5,
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gr.update(selected=1),
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gr.update(visible=False),
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gr.update(visible=False)
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]
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# Store content if not already stored
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if not quiz_app.learning_content:
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quiz_app.learning_content = text.strip()
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# Use stored content instead of new text if available
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content_to_use = quiz_app.learning_content or text
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success, questions = quiz_app.generate_questions(content_to_use, num_questions)
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if not success or not questions:
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return [
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"",
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@@ -862,8 +861,7 @@ def create_quiz_interface():
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]
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question = questions[0]
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question_md = f"""### Question 1
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{question.question}"""
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return [
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question_md,
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@@ -883,6 +881,7 @@ def create_quiz_interface():
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gr.update(visible=False)
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]
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def navigate(direction, current_idx, questions, answers, current_answer):
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if not questions:
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return [0, answers, "", gr.update(choices=[], visible=False), "", gr.update(visible=False)]
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@@ -999,7 +998,7 @@ def create_quiz_interface():
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# Event Handlers
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generate_btn.click(
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fn=on_generate_questions,
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inputs=[text_input, num_questions],
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outputs=[
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question_display,
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self.quiz_generator = QuizGenerator(api_key)
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self.certificate_generator = CertificateGenerator()
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self.current_questions: List[Question] = []
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self.logo_path = "atgc_logo.png" # Fixed ATGC logo path
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# Add fixed content here
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self.fixed_content = """Decoding Data Science - ATGC: A Leader in AI Education and Innovation
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Led by Mohammad Arshad Ahmad, a seasoned Principal Data Scientist with over 20+ years of industry experience, Decoding Data Science is at the forefront of AI education and consulting. Our mission is to empower individuals and organizations with cutting-edge data science skills and solutions.
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Key Offerings:
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1. Comprehensive Data Science Programs
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- Python Programming
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- Machine Learning
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- Deep Learning
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- Natural Language Processing
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- Computer Vision
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2. Industry Solutions
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- AI Model Development
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- Data Analytics
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- Process Automation
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- Custom AI Solutions
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3. Community Initiatives
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- Regular Workshops
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- Tech Meetups
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- Hackathons
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- Online Resources
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Join us in shaping the future of AI education and innovation!"""
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def generate_questions(self, text: str, num_questions: int) -> Tuple[bool, List[Question]]:
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"""
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Generate quiz questions using the QuizGenerator
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text_input = gr.Textbox(
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label="Learning Content",
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value=quiz_app.fixed_content, # Set the fixed content
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interactive=False, # Make it non-editable
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lines=10
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)
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num_questions = gr.Slider(
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minimum=1,
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maximum=20,
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# Helper Functions
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def on_generate_questions(text, num_questions):
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success, questions = quiz_app.generate_questions(quiz_app.fixed_content, num_questions)
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if not success or not questions:
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return [
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"",
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]
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question = questions[0]
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question_md = f"""### Question 1\n{question.question}"""
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return [
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question_md,
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gr.update(visible=False)
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]
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def navigate(direction, current_idx, questions, answers, current_answer):
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if not questions:
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return [0, answers, "", gr.update(choices=[], visible=False), "", gr.update(visible=False)]
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# Event Handlers
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generate_btn.click(
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fn=on_generate_questions,
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inputs=[text_input, num_questions],
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outputs=[
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question_display,
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