app.py

import gradio as gr

cv_spaces = [
    {
        "title": "ComVis Object Detection",
        "link": "https://huggingface.co/spaces/chanakarnuac/G01_Computer_Vision_Yolov10",
        "img": "https://huggingface.co/spaces/theerasin/IS361Final/resolve/main/image/1%20Object%20Detection.png"
    },
    {
        "title": "ComVis Image Classification",
        "link": "https://huggingface.co/spaces/Nusss/clothing",
        "img": "https://huggingface.co/spaces/theerasin/IS361Final/resolve/main/image/2%20Cloth%20Type%20.png"
    },
    {
        "title": "ComVis Mask Generation + Image Generation",
        "link": "https://huggingface.co/spaces/hellofocus/remove-photo-background",
        "img": "https://huggingface.co/spaces/theerasin/IS361Final/resolve/main/image/3%20Background%20Remover.png"
    }
]

nlp_spaces = [
    {
        "title": "NLP Text Generation",
        "link": "https://huggingface.co/spaces/Nusss/google-gemma-2-2b-it",
        "img": "https://huggingface.co/spaces/theerasin/IS361Final/resolve/main/image/4%20Text%20Generation.png"
    },
    {
        "title": "NLP Text Summarization",
        "link": "https://huggingface.co/spaces/chanakarnuac/G01_NLP_Ai-business-insights",
        "img": "https://huggingface.co/spaces/theerasin/IS361Final/resolve/main/image/5%20Company%20Workflow%20Insights.png"
    },
    {
        "title": "Text Summarization + Text Generation",
        "link": "https://huggingface.co/spaces/theerasin/ChatWithPDF",
        "img": "https://huggingface.co/spaces/theerasin/IS361Final/resolve/main/image/6%20Chat%20With%20PDF.png"
    },
]

with gr.Blocks() as demo:
    gr.Markdown("# Hugging Face Spaces For IS361 FinalProject\n**คลิกที่ปุ่มเพื่อเปิดแต่ละโปรเจกต์ในแท็บใหม่**")

    gr.Markdown("## หมวด Computer Vision")
    for space in cv_spaces:
        with gr.Row():
            gr.Image(space["img"], width=100, show_label=False)
            gr.Button(f"เปิด {space['title']}", link=space["link"])

    gr.Markdown("## หมวด NLP (Natural Language Processing)")
    for space in nlp_spaces:
        with gr.Row():
            gr.Image(space["img"], width=100, show_label=False)
            gr.Button(f"เปิด {space['title']}", link=space["link"])

demo.launch()