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Update app.py
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app.py
CHANGED
@@ -3,14 +3,12 @@ from gradio_client import Client as GrClient
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import inspect
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from gradio import routes
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from typing import List, Type
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from aiogoogletrans import Translator
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import requests, os, re, asyncio
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loop = asyncio.get_event_loop()
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gradio_client = GrClient(
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translator = Translator()
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# Monkey patch
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def get_types(cls_set: List[Type], component: str):
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docset = []
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@@ -30,25 +28,10 @@ def get_types(cls_set: List[Type], component: str):
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return docset, types
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routes.get_types = get_types
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# App code
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def mbti(x):
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t = loop.run_until_complete(translator.translate(x, src='ko', dest='en'))
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str_trans = re.sub('[-=+,#/\?:^.@*\"β»~γ!γβ|\(\)\[\]`\'β¦γ\β\β\βΒ·]', '', t.text)
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result = gradio_client.predict(
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str_trans, # str representing input in 'User input' Textbox component
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fn_index=2
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)
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r = sorted(eval(result), key=lambda x : x['score'], reverse=True)
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return r
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def chat(x):
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x = f"[***λλ Assistantμ
λλ€. μλμκ² λ€μν μ§λ¬Έμ νλ©° λνλ₯Ό μ΄λκ³ μμ΅λλ€. Humanμκ² κΈμ μ μ΄κ³ , 곡κ°νλ©°, μ΅λν κΈΈκ² λλ΅ν΄μ£ΌμΈμ***] {x}"
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x = x.replace('friend','Human').replace('you','Assistant')
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x_list = x.rsplit('\n',1)
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x = x_list[0]+"\n\n### \n"+x_list[1]
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print("\n___________________\n" + f"{x}")
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result = gradio_client.predict(
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x,
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@@ -70,13 +53,6 @@ def chat(x):
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return output
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def yn(x):
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result = gradio_client.predict(
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x, # str representing input in 'User input' Textbox component
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fn_index=1
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)
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return result
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with gr.Blocks() as demo:
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count = 0
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aa = gr.Interface(
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@@ -85,21 +61,7 @@ with gr.Blocks() as demo:
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outputs="text",
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description="chat",
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#examples= [[f"\nfriend: λλ κΏμ΄ λμΌ? \nyou: "],[f"\nyou: λλ λ¬΄μ¨ μμ κ°μ₯ μ’μν΄? \nfriend: κΈμ λλ? \nyou: "]]
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examples= [[f"
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)
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bb = gr.Interface(
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fn=mbti,
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inputs="text",
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outputs="text",
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description="mbti"
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)
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cc = gr.Interface(
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fn=yn,
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inputs="text",
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outputs="text",
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description="yn",
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examples= [[f"κ·ΈλλΌ"],[f"λ³λ‘ λ°?"]]
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)
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demo.queue(max_size=32).launch(enable_queue=True)
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import inspect
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from gradio import routes
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from typing import List, Type
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import requests, os, re, asyncio
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loop = asyncio.get_event_loop()
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gradio_client = GrClient('https://ldhldh-demo.hf.space/')
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# Monkey patch
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def get_types(cls_set: List[Type], component: str):
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docset = []
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return docset, types
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routes.get_types = get_types
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# App code
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def chat(x):
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x = f"[***λλ Assistantμ
λλ€. μλμκ² λ€μν μ§λ¬Έμ νλ©° λνλ₯Ό μ΄λκ³ μμ΅λλ€. Humanμκ² κΈμ μ μ΄κ³ , 곡κ°νλ©°, μ΅λν κΈΈκ² λλ΅ν΄μ£ΌμΈμ***]\nHuman: {x}\n\n###\nAssistant:"
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print("\n___________________\n" + f"{x}")
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result = gradio_client.predict(
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x,
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return output
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with gr.Blocks() as demo:
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count = 0
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aa = gr.Interface(
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outputs="text",
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description="chat",
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#examples= [[f"\nfriend: λλ κΏμ΄ λμΌ? \nyou: "],[f"\nyou: λλ λ¬΄μ¨ μμ κ°μ₯ μ’μν΄? \nfriend: κΈμ λλ? \nyou: "]]
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examples= [[f"λλ κΏμ΄ λμΌ?"],[f"λλ λ¬΄μ¨ μμ κ°μ₯ μ’μν΄?"]]
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)
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demo.queue(max_size=32).launch(enable_queue=True)
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