import gradio as gr import pandas as pd import requests import json from datasets import load_dataset #dataset = load_dataset("nlphuji/flickr30k", split="test[10:20]") #print (dataset) #headers = {"Authorization": f"Bearer {API_TOKEN}"} def query1(fetch_url): if fetch_url=="": fetch_url = "nlphuji/flickr30k" API_URL1 = f"https://datasets-server.huggingface.co/splits?dataset={fetch_url}" response = requests.get(API_URL1) json_obj=response.json() drop_box = [] for obj in json_obj: print (obj) out_config = obj[0] out_split = obj[1] print (out_config) print (out_split) drop_box.append(obj[0]) #df = pd.DataFrame.from_dict(json_obj) return json_obj def query2(fetch_url,config="TEST",split="test",offset=0,length=10): if fetch_url=="": fetch_url = "nlphuji/flickr30k" #offset=0 #length=10 API_URL2 = f"https://datasets-server.huggingface.co/rows?dataset={fetch_url}&config={config}&split={split}&offset={offset}&length={length}" response = requests.get(API_URL2) dictionary=response.json() return dictionary def find_fn(inp,out_json): #print(out_json['rows']) #print (inp) img_list=[] #out_json1=query2(,offset=10,length=20) inp=inp.strip("[]") for ea in out_json[inp]: #img_ea = ea['row']['image']['src'] img_list.append(ea) return img_list with gr.Blocks() as app: with gr.Row(): data_set_url=gr.Textbox(label="Dataset (repo/name)") fetch_btn=gr.Button() with gr.Row(): config_set=gr.Textbox(label="Config") split_set=gr.Textbox(label="Split") #config_drop = gr.Dropdown(label="Config/Split", choices=[]) view_data=gr.Button(label="View") with gr.Row(): find_string=gr.Textbox() find_btn=gr.Button("Search") with gr.Row(): with gr.Column(scale=1): out_json = gr.JSON() with gr.Column(scale=3): out_find = gr.JSON() out_gal = gr.Gallery() view_data.click(query2,[data_set_url,config_set,split_set],[out_find]) find_btn.click(find_fn,[find_string,out_json],[out_find,out_gal]) fetch_btn.click(query1,data_set_url,out_json) app.launch()