app.py

import requests
import json
from datetime import datetime

import gradio as gr
from gradio_client import Client
from extract import extract

functionality_shared = [
    'games',
    'greet',
    'tokenization',
]

game_list = [
    'angry birds',
    'snake',
]

functionality_list = [
    "AI",
    "functionality",
    "json dedup",
    "json",
]

space = 'stevez-bbc123'
# space = 'stevez-test-public'

# url = f'https://{space}.hf.space/run/predict'
# url = f'https://{space}.hf.space/api/predict'
url = f'https://{space}.hf.space'

def run(hf_token, service, game, functionality, nlp_command):
    if hf_token is None or hf_token == '':
        return 'please specify hf token'

    # reuse hf_token field as json string
    token, user_name, _ = extract(hf_token)

    if service not in functionality_shared[1:]:
        if game is None:
            return "please specify which game"
        if functionality is None:
            return "please choose the AI functionality"
        if functionality == 'AI':
            if nlp_command in ["", None]:
                return "please make sure the command is not empty"

    try:
        if service not in functionality_shared[1:]:
            print(f"{datetime.today()} [{game:<16}] {nlp_command}")
        # myobj = {
        #     'data': [service, game, r, nlp_command],
        # }
        # myauth = ('Bearer', hf_token)
        # x = requests.post(
        #     url, 
        #     auth = myauth,
        #     json = myobj,
        # )
        # print(f"x: {x}")
        # x2 = json.loads(x.text)
        # res = x2['data'][0]
        # res2 = json.loads(res)
        client = Client(
            url,
            hf_token=hf_token,
            verbose=False,
        )
        res = client.predict(
            service, game, functionality, nlp_command,
            api_name='/predict',
        )
        res2 = json.loads(res[0])
        return json.dumps(res2, indent=4)
    except Exception as e:
        return f"{type(e)}, {str(e)}. \nyou may want to make sure your hf_token is correct"
    
demo = gr.Interface(
    fn=run, 
    inputs=[
        "text",
        gr.Radio(
            functionality_shared,
            value=functionality_shared[0],
            info = "Shared services",
            ),
        gr.Radio(
            game_list,
            value=game_list[1],        
            info = "Which game you want the AI to support?",
            ),
        gr.Radio(
            functionality_list,
            value=functionality_list[0],
            # label = "What do you want to do?",
            info = "What functionality?",
            ),
        "text"],
    outputs="text",
    title = "Demo",
)

demo.launch()