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| import ast | |
| import requests | |
| #Using Gradio Demos as API - This is Hot! | |
| API_URL_INITIAL = "https://ysharma-playground-ai-exploration.hf.space/run/initial_dataframe" | |
| API_URL_NEXT10 = "https://ysharma-playground-ai-exploration.hf.space/run/next_10_rows" | |
| #define inference function | |
| #First: Get initial images for the grid display | |
| def get_initial_images(): | |
| response = requests.post(API_URL_INITIAL, json={ | |
| "data": [] | |
| }).json() | |
| #data = response["data"][0]['data'][0][0][:-1] | |
| response_dict = response['data'][0] | |
| return response_dict #, [resp[0][:-1] for resp in response["data"][0]["data"]] | |
| #Second: Process response dictionary to get imges as hyperlinked image tags | |
| def process_response(response_dict): | |
| return [resp[0][:-1] for resp in response_dict["data"]] | |
| response_dict = get_initial_images() | |
| initial = process_response(response_dict) | |
| 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]) | |
| #Third: Load more images for the grid | |
| def get_next10_images(response_dict, row_count): | |
| row_count = int(row_count) | |
| #print("(1)",type(response_dict)) | |
| #Convert the string to a dictionary | |
| if isinstance(response_dict, dict) == False : | |
| response_dict = ast.literal_eval(response_dict) | |
| response = requests.post(API_URL_NEXT10, json={ | |
| "data": [response_dict, row_count ] #len(initial)-1 | |
| }).json() | |
| row_count+=10 | |
| response_dict = response['data'][0] | |
| #print("(2)",type(response)) | |
| #print("(3)",type(response['data'][0])) | |
| next_set = [resp[0][:-1] for resp in response_dict["data"]] | |
| 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]) | |
| return response_dict, row_count, next_set_images #response['data'][0] | |
| #get_next10_images(response_dict=response_dict, row_count=9) | |
| #position: fixed; top: 0; left: 0; width: 100%; background-color: #fff; padding: 20px; box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); | |
| #Defining the Blocks layout | |
| with gr.Blocks(css = """#img_search img {width: 100%; height: 100%; object-fit: cover;}""") as demo: | |
| gr.HTML(value="top of page", elem_id="top",visible=False) | |
| gr.HTML("""<div style="text-align: center; max-width: 700px; margin: 0 auto;"> | |
| <div | |
| style=" | |
| display: inline-flex; | |
| align-items: center; | |
| gap: 0.8rem; | |
| font-size: 1.75rem; | |
| " | |
| > | |
| <h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;"> | |
| Using Gradio Demos as API - 2 </h1><br></div> | |
| <div><h4 style="font-weight: 500; margin-bottom: 7px; margin-top: 5px;"> | |
| Stream <a href="https://github.com/playgroundai/liked_images" target="_blank">PlaygroundAI Images</a> ina beautiful grid</h4><br> | |
| </div>""") | |
| with gr.Accordion(label="Details about the working:", open=False, elem_id='accordion'): | |
| gr.HTML(""" | |
| <p style="margin-bottom: 10px; font-size: 90%"><br> | |
| ▶️Do you see the "view api" link located in the footer of this application? | |
| 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> | |
| ▶️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> | |
| ▶️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. | |
| </p></div>""") | |
| with gr.Column(): #(elem_id = "col-container"): | |
| b1 = gr.Button("Load More Images").style(full_width=False) | |
| df = gr.Textbox(visible=False,elem_id='dataframe', value=response_dict) | |
| row_count = gr.Number(visible=False, value=19 ) | |
| img_search = gr.HTML(label = 'Images from PlaygroundAI dataset', elem_id="img_search", | |
| value=initial_imgs ) #initial[:-1] ) | |
| 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> | |
| </p></div>''') | |
| b1.click(get_next10_images, [df, row_count], [df, row_count, img_search], api_name = "load_playgroundai_images" ) |