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import gradio as gr |
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import ast |
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import requests |
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API_URL_INITIAL = "https://ysharma-playground-ai-exploration.hf.space/run/initial_dataframe" |
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API_URL_NEXT10 = "https://ysharma-playground-ai-exploration.hf.space/run/next_10_rows" |
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def get_initial_images(): |
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response = requests.post(API_URL_INITIAL, json={ |
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"data": [] |
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}).json() |
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response_dict = response['data'][0] |
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return response_dict |
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def process_response(response_dict): |
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return [resp[0][:-1] for resp in response_dict["data"]] |
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response_dict = get_initial_images() |
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initial = process_response(response_dict) |
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initial_imgs = '<div style="display: grid; grid-template-columns: repeat(3, 1fr); grid-template-rows: repeat(3, 1fr); grid-gap: 0; background-color: #fff; padding: 20px; box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);">\n' + "\n".join(initial[:-1]) |
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def get_next10_images(response_dict, row_count): |
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row_count = int(row_count) |
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if isinstance(response_dict, dict) == False : |
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response_dict = ast.literal_eval(response_dict) |
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response = requests.post(API_URL_NEXT10, json={ |
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"data": [response_dict, row_count ] |
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}).json() |
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row_count+=10 |
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response_dict = response['data'][0] |
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next_set = [resp[0][:-1] for resp in response_dict["data"]] |
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next_set_images = '<div style="display: grid; grid-template-columns: repeat(3, 1fr); grid-template-rows: repeat(3, 1fr); grid-gap: 0; background-color: #fff; padding: 20px; box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); ">\n' + "\n".join(next_set[:-1]) |
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return response_dict, row_count, next_set_images |
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with gr.Blocks(css = """#img_search img {width: 100%; height: 100%; object-fit: cover;}""") as demo: |
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gr.HTML(value="top of page", elem_id="top",visible=False) |
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gr.HTML("""<div style="text-align: center; max-width: 700px; margin: 0 auto;"> |
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<div |
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style=" |
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display: inline-flex; |
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align-items: center; |
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gap: 0.8rem; |
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font-size: 1.75rem; |
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" |
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> |
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<h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;"> |
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Using Gradio Demos as API - 2 </h1><br></div> |
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<div><h4 style="font-weight: 500; margin-bottom: 7px; margin-top: 5px;"> |
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Stream <a href="https://github.com/playgroundai/liked_images" target="_blank">PlaygroundAI Images</a> ina beautiful grid</h4><br> |
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</div>""") |
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with gr.Accordion(label="Details about the working:", open=False, elem_id='accordion'): |
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gr.HTML(""" |
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<p style="margin-bottom: 10px; font-size: 90%"><br> |
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▶️Do you see the "view api" link located in the footer of this application? |
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By clicking on this link, a page will open which provides documentation on the REST API that developers can use to query the Interface function / Block events.<br> |
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▶️In this demo, I am making such an API request to the <a href="https://huggingface.co/spaces/ysharma/Playground_AI_Exploration" target="_blank">Playground_AI_Exploration</a> Space.<br> |
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▶️I am exposing an API endpoint of this Gradio app as well. This can easily be done by one line of code, just set the api_name parameter of the event listener. |
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</p></div>""") |
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with gr.Column(): |
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b1 = gr.Button("Load More Images").style(full_width=False) |
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df = gr.Textbox(visible=False,elem_id='dataframe', value=response_dict) |
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row_count = gr.Number(visible=False, value=19 ) |
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img_search = gr.HTML(label = 'Images from PlaygroundAI dataset', elem_id="img_search", |
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value=initial_imgs ) |
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gr.HTML('''<center><a href="https://huggingface.co/spaces/ysharma/Stream_PlaygroundAI_Images?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a></center> |
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</p></div>''') |
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b1.click(get_next10_images, [df, row_count], [df, row_count, img_search], api_name = "load_playgroundai_images" ) |
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demo.launch(debug=True) |
