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| # import gradio as gr | |
| # 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") | |
| # | |
| # demo.launch(debug=True) | |
| import pandas as pd | |
| import gradio as gr | |
| df = pd.read_csv("/Users/yonatanbitton/Downloads/whoops_dataset.csv") | |
| df['image_url'] = df['image_url'].apply(lambda x: '<a href= "' + str(x) + '" target="_blank"> <img src= "' + str( | |
| x) + '"/> </a>') | |
| df['designer_explanation'] = df['designer_explanation'].apply(lambda x: str(x)) | |
| df['selected_caption'] = df['selected_caption'].apply(lambda x: str(x)) | |
| df['crowd_captions'] = df['crowd_captions'].apply(lambda x: str(x)) | |
| df['crowd_underspecified_captions'] = df['crowd_underspecified_captions'].apply(lambda x: str(x)) | |
| df['question_answering_pairs'] = df['question_answering_pairs'].apply(lambda x: str(x)) | |
| df['commonsense_category'] = df['commonsense_category'].apply(lambda x: str(x)) | |
| df['image_id'] = df['image_id'].apply(lambda x: str(x)) | |
| df['image_designer'] = df['image_designer'].apply(lambda x: str(x)) | |
| df = df[['image_url', 'designer_explanation', 'selected_caption', 'crowd_captions', 'crowd_underspecified_captions', | |
| 'question_answering_pairs', 'commonsense_category', 'image_id', 'image_designer']] | |
| LINES_NUMBER = 20 | |
| def display_df(): | |
| df_images = df.head(LINES_NUMBER) | |
| return df_images | |
| def display_next10(dataframe, end): | |
| start = (end or dataframe.index[-1]) + 1 | |
| end = start + (LINES_NUMBER-1) | |
| df_images = df.loc[start:end] | |
| return df_images, end | |
| # Gradio Blocks | |
| with gr.Blocks() as demo: | |
| gr.Markdown("<h1><center>WHOOPS! Dataset Viewer</center></h1>") | |
| with gr.Row(): | |
| num_end = gr.Number(visible=False) | |
| b1 = gr.Button("Get Initial dataframe") | |
| b2 = gr.Button("Next 10 Rows") | |
| with gr.Row(): | |
| out_dataframe = gr.Dataframe(wrap=True, max_rows=LINES_NUMBER, overflow_row_behaviour="paginate", | |
| datatype=["markdown", "markdown", "str", "str", "str", "str", "str", "str","str","str"], | |
| interactive=False) | |
| b1.click(fn=display_df, outputs=out_dataframe, api_name="initial_dataframe") | |
| b2.click(fn=display_next10, inputs=[out_dataframe, num_end], outputs=[out_dataframe, num_end], | |
| api_name="next_10_rows") | |
| demo.launch(debug=True, show_error=True) |