app.py

import requests
import json
import os
from datetime import datetime
from zoneinfo import ZoneInfo

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

#######################
# proxy version
#######################
proxy_version = "1.0.0-2023-11-28-a"  # merge to demo


functionality_shared = [
    "games",
    "greet",
    "tokenization",
    "upload game",
    "download game",
    "list games",
]

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

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

t = datetime.now()
t = t.astimezone(ZoneInfo("Asia/Shanghai"))
print(f"[Beijing]: {t.replace(microsecond=0)}")
t = t.astimezone(ZoneInfo("America/Los_Angeles"))
print(f"[Seattle]: {t.replace(microsecond=0)}")

# assert False


spaces = {
    "b_demo_hf": "stevez-ai",
    "pgdemo2": "stevez-ai2",
    "pgdemo3": "stevez-ai3",
}

identity = os.environ.get("identity")
if not identity:
    identity = "b_demo_hf"
space = "stevez-ai"
if identity in spaces:
    space = spaces[identity]


def run(hf_token, service, game, functionality, nlp_command):
    """
    event handler
    """

    # reuse hf_token field as json string
    token, user_name, redirect, _ = extract(hf_token)
    if user_name is None:
        user_name = "__fake__"

    # redirect all traffic to the proxy sever
    global space
    if redirect is not None:
        space = redirect
    url = f"https://{space}.hf.space"

    if token is None or token == "":
        return "please specify 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"
    if service == "download game":
        res = app_util.call_clouddisk(service, nlp_command, token)
        if res is None:
            outp = {"status": "Failure"}
        else:
            outp = {"status": "OK", "result": json.loads(res)}
        return json.dumps(outp)
    if service == "upload game":
        res = app_util.call_clouddisk(service, nlp_command, token)
        if res is None:
            outp = {"status": "Failure"}
        else:
            outp = {"status": "OK", "result": res}
        return json.dumps(outp)
    if service == "list games":
        res = app_util.call_clouddisk(service, nlp_command, token)
        if res is None:
            outp = {"status": "Failure"}
        else:
            outp = {"status": "OK", "result": json.loads(res)["result"]}
        return json.dumps(outp)

    try:
        if service not in functionality_shared[1:]:
            t = datetime.now()
            t = t.astimezone(ZoneInfo("Asia/Shanghai"))
            # t = t.replace(microsecond=0)
            print(f"{t} [{user_name}] [{game}] {nlp_command}")
        client = Client(
            url,
            hf_token=token,
            verbose=False,
        )
        res = client.predict(
            service,
            game,
            functionality,
            nlp_command,  # hidden,
            api_name="/predict",
        )
        outp = json.loads(res[0])
        # add proxy version info to the output
        outp["proxy-version"] = proxy_version
        outp["user"] = user_name
        outp["game"] = game
        app_util.call_logger(outp, token)
        return json.dumps(outp, 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",
    allow_flagging="never",
)

demo.launch()