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Create app.py
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app.py
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import gradio as gr
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# Define questions and options
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questions = [
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{
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"question": "What type of projects excites you the most?",
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"options": [
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("Building and coding software that can solve real-world problems.", "Computer Engineering, Cybersecurity, Embedded & IoT Systems"),
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("Designing stunning graphics, animations, and immersive worlds.", "Animation & Games Design, Animation Multimedia & VFX, Visual Communication"),
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("Creating products that incorporate futuristic technologies like AI or IoT.", "Drone, AR/VR, Embedded & IoT Systems"),
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("Crafting campaigns that help brands connect with people worldwide.", "Digital Marketing & E-Commerce, Fashion Technology"),
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("Producing music, films, or shows that captivate an audience.", "Audio & Sound Production, Film & OTT Production")
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]
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},
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{
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"question": "What’s your favorite way to learn something new?",
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"options": [
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("Experimenting with gadgets and doing hands-on projects.", "Embedded & IoT Systems, Drone, Computer Engineering"),
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("Watching documentaries, films, or exploring visual storytelling.", "Film & OTT Production, Visual Communication, Animation Multimedia & VFX"),
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("Attending tech or gaming conventions and learning about new trends.", "AR/VR, Animation & Games Design, Cybersecurity"),
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("Reading about the latest fashion, business, or digital trends.", "Digital Marketing & E-Commerce, Fashion Technology"),
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("Engaging with DIY projects that improve everyday life, like gardening or tech setups.", "Hydroponics, Futuristic Skill-Based Programs")
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]
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},
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{
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"question": "Which scenario sounds most exciting to you?",
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"options": [
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("Designing a cybersecurity system to protect a company’s data.", "Cybersecurity, Embedded & IoT Systems"),
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("Creating an animated short film that could go viral.", "Animation Multimedia & VFX, Animation & Games Design, Visual Communication"),
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("Developing a fashion brand that combines creativity with sustainability.", "Fashion Technology, Digital Marketing & E-Commerce"),
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("Leading a project that uses VR to simulate real-life situations for training purposes.", "AR/VR, Visual Communication"),
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("Producing a hit single or an award-winning movie.", "Audio & Sound Production, Film & OTT Production")
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]
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},
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{
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"question": "How do you like to solve problems?",
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"options": [
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("By designing and testing prototypes until they work.", "Drone, Computer Engineering, Embedded & IoT Systems"),
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("Through creativity and visual storytelling.", "Visual Communication, Animation & Games Design, Film & OTT Production"),
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("By analyzing market trends and finding innovative ways to reach audiences.", "Digital Marketing & E-Commerce, Fashion Technology"),
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("By combining practical knowledge with cutting-edge technology.", "AR/VR, Hydroponics, Futuristic Skill-Based Programs"),
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("By exploring soundscapes and experimenting with new media.", "Audio & Sound Production, Animation Multimedia & VFX")
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]
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},
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{
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"question": "Pick an environment you’d thrive in.",
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"options": [
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("A high-tech lab or office filled with gadgets and computers.", "Cybersecurity, Computer Engineering, Embedded & IoT Systems"),
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("A studio where creativity flows, with easels, green screens, and VR headsets.", "Animation Multimedia & VFX, AR/VR, Visual Communication"),
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("A trendy office space buzzing with creative minds and brand discussions.", "Digital Marketing & E-Commerce, Fashion Technology"),
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("An outdoor space where you work with plants, tech, and new sustainable methods.", "Hydroponics, Futuristic Skill-Based Programs"),
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("A recording studio or film set, where you bring stories to life with sound and visuals.", "Audio & Sound Production, Film & OTT Production")
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]
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}
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]
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# Store results
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results = {
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"Computer Engineering": 0,
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"Cybersecurity": 0,
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"Embedded & IoT Systems": 0,
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"Drone": 0,
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"Animation & Games Design": 0,
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"Animation Multimedia & VFX": 0,
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"Visual Communication": 0,
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"AR/VR": 0,
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"Digital Marketing & E-Commerce": 0,
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"Fashion Technology": 0,
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"Hydroponics": 0,
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"Audio & Sound Production": 0,
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"Film & OTT Production": 0,
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"Futuristic Skill-Based Programs": 0
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}
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# Define quiz logic
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def quiz_responses(answers):
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# Reset results
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for key in results:
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results[key] = 0
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# Process answers and tally scores
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for i, answer in enumerate(answers):
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selected_option = questions[i]["options"][int(answer)][1].split(", ")
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for program in selected_option:
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results[program] += 1
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# Sort and display top recommended programs
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sorted_results = sorted(results.items(), key=lambda x: x[1], reverse=True)
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top_recommendations = [f"{program} ({count} matches)" for program, count in sorted_results if count > 0]
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return "Top Recommended Programs for You:\n" + "\n".join(top_recommendations[:3])
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# Create Gradio interface
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def create_interface():
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question_inputs = [gr.inputs.Radio([option[0] for option in question["options"]], label=question["question"]) for question in questions]
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# Use Gradio's Interface function
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return gr.Interface(
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fn=quiz_responses,
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inputs=question_inputs,
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outputs="text",
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title="RISAYA Global - What's Your Career Path?",
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description="Discover the perfect program for your career path at RISAYA Academy! Answer a few questions, and we’ll recommend the best programs tailored to your interests."
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)
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# Run the interface
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quiz_interface = create_interface()
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quiz_interface.launch()
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