app.py

import gradio as gr

load_js1 = """
async () => {

    const script = document.createElement("script");
    script.onload = () =>  console.log("module loaded") ;
    script.type="module";
    script.src = "https://ajax.googleapis.com/ajax/libs/model-viewer/3.1.1/model-viewer.min.js";
    document.head.appendChild(script)
}"""
load_js2 = """
function(text_input, url_params) {
    console.log(text_input, url_params);
    const params = new URLSearchParams(window.location.search);
    url_params = Object.fromEntries(params);
    return [text_input, url_params]
}

"""
def predict(text, url_params):
    mod_url=""
    mod=gr.HTML("")
    out = None
    valid=gr.update(visible=False)
    try:
        mod_url = url_params.get('url')
        if mod_url != None:
            #print (mod_url)
            out = gr.HTML.update(f"""<div><h1>Loading model from:<br>{mod_url} </h1></div>""")
            valid=gr.update(visible=False)
        else:
            out=gr.HTML.update(f"""<div><h1>Enter Model URL</h1></div>""") 
            valid=gr.update(visible=True)
    except Exception as e:
        out=gr.HTML.update(f"""<div><h1>Enter Model URL</h1></div>""")
        valid=gr.update(visible=True)
    return ["" + text + "", mod,out,mod_url,valid]
   
def find_model(url):
    out = None
    mod=None
    if url != "" and url != None:
        try:
            mod = gr.HTML(f'''
            <div>
            <model-viewer src="{url}" camera-controls poster="https://cdn.glitch.global/fe6d4fc5-58dd-43de-a65d-7bd5b477e8e1/poster.webp?v=1696812691961" shadow-intensity="1"></model-viewer>
            </div>
            ''')
            
        except Exception as e:
            out = gr.HTML(f'''<div><h1>Could not find Model</h1><br><h3>System Message: {e}</div>''')
    else:
        out = gr.HTML(f'''<div><h1>Enter Model URL</h1></div>''')
    return mod,out

    
with gr.Blocks(css="style.css") as app:
    markdown = gr.HTML("""""")
    with gr.Row(visible=False) as valid:
        inp = gr.Textbox(label="URL")
        go_btn=gr.Button("Load")
    out_html=gr.HTML('''''')
    '''
    with gr.Tab("iFrame"):
        gr.HTML("""
        <div>
    <iframe src="https://lumalabs.ai/embed/2b2112cd-9aa0-44f3-88b3-fde365066a3b?mode=sparkles&background=%23ffffff&color=%23000000&showTitle=true&loadBg=true&logoPosition=bottom-left&infoPosition=bottom-right&cinematicVideo=undefined&showMenu=false" width="100%" height="1000" frameborder="0" title="luma embed" style="border: none;"></iframe>
        </div>
        """)        
    '''

    with gr.Row(visible=False):
        text_input=gr.Textbox()
        text_output=gr.Textbox()
        url_params = gr.JSON({}, visible=True, label="")
    
    
    app.load(None,None,None,_js=load_js1)
    app.load(fn=predict, inputs=[text_input,url_params], outputs=[text_output,out_html,markdown,inp,valid],_js=load_js2).then(find_model,inp,[out_html,markdown])
    go_btn.click(find_model,inp,[out_html,markdown])
app.launch()