import gradio as gr
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)
    #response = requests.get(API_URL1, headers=headers)
    return response.json()


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)
    for rows in out_json1['rows']:
        img_ea = rows['row']['image']['src']
        img_list.append(img_ea)
    
    return img_list,img_list
with gr.Blocks() as app:
    with gr.Row():
        data_set_url=gr.Textbox()
        fetch_btn=gr.Button()
    with gr.Row():
        find_string=gr.Textbox()
        find_btn=gr.Button("Search")
    with gr.Row():
        out_json = gr.JSON()
        with gr.Column():
            out_gal = gr.Gallery()
            out_find = gr.JSON()

    find_btn.click(find_fn,[find_string,out_json],[out_find,out_gal])
    fetch_btn.click(query1,data_set_url,out_json)
app.launch()