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import requests |
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import json |
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from datetime import datetime |
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import gradio as gr |
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from gradio_client import Client |
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from extract import extract |
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functionality_shared = [ |
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'games', |
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'greet', |
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'tokenization', |
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] |
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game_list = [ |
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'angry birds', |
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'snake', |
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] |
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functionality_list = [ |
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"AI", |
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"functionality", |
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"json dedup", |
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"json", |
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] |
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space = 'stevez-bbc123' |
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def run(hf_token, service, game, functionality, nlp_command): |
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""" |
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event handler |
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""" |
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token, user_name, redirect, _ = extract(hf_token) |
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if user_name is None: |
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user_name = '__fake__' |
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url = f'https://{space}.hf.space' |
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if redirect is not None: |
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url = f'https://{redirect}.hf.space' |
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if token is None or token == '': |
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return 'please specify hf token' |
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if service not in functionality_shared[1:]: |
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if game is None: |
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return "please specify which game" |
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if functionality is None: |
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return "please choose the AI functionality" |
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if functionality == 'AI': |
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if nlp_command in ["", None]: |
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return "please make sure the command is not empty" |
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try: |
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if service not in functionality_shared[1:]: |
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print(f"{datetime.today().replace(microsecond=0)} [{game:<12}] [{user_name[:12]:<12}] {nlp_command}") |
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client = Client( |
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url, |
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hf_token=token, |
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verbose=False, |
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) |
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res = client.predict( |
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service, game, functionality, nlp_command, |
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api_name='/predict', |
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) |
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res2 = json.loads(res[0]) |
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return json.dumps(res2, indent=4) |
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except Exception as e: |
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return f"{type(e)}, {str(e)}. \nyou may want to make sure your hf_token is correct" |
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demo = gr.Interface( |
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fn=run, |
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inputs=[ |
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"text", |
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gr.Radio( |
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functionality_shared, |
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value=functionality_shared[0], |
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info = "Shared services", |
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), |
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gr.Radio( |
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game_list, |
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value=game_list[1], |
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info = "Which game you want the AI to support?", |
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), |
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gr.Radio( |
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functionality_list, |
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value=functionality_list[0], |
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info = "What functionality?", |
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), |
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"text"], |
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outputs="text", |
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title = "Demo", |
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) |
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demo.launch() |
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