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Duplicate from Hyeonseo/ChatGPT-ko-translation-prompt
Browse filesCo-authored-by: Hyeonseo Yun <[email protected]>
- .gitattributes +34 -0
- README.md +14 -0
- app.py +76 -0
- requirements.txt +2 -0
.gitattributes
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README.md
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---
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title: ChatGPT Ko Translation Prompt
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emoji: ๐
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: 3.28.0
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app_file: app.py
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pinned: false
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license: apache-2.0
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duplicated_from: Hyeonseo/ChatGPT-ko-translation-prompt
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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import subprocess
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import openai
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import time
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import re
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def translate(text_input, openapi_key):
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openai.api_key = openapi_key
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# ๋ผ์ด์ ์ค ๋ฌธ์ฅ ์ ๊ฑฐ
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rm_line = text_input.find('-->')
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text_list = text_input[rm_line+4:].split('\n')
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print(text_list)
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reply = []
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for i in range(0,len(text_list),10):
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content = """What do these sentences about Hugging Face Transformers (a machine learning library) mean in Korean? Please do not translate the word after a ๐ค emoji as it is a product name. Please ignore the video and image and translate only the sentences I provided. Ignore the contents of the iframe tag.
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```md
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%s"""%'\n'.join(text_list[i:i+10])
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chat = openai.ChatCompletion.create(
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model = "gpt-3.5-turbo-0301", messages=[
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{"role": "system",
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"content": content},])
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print("์ง๋ฌธ")
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print(content)
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print("์๋ต")
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print(chat.choices[0].message.content)
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reply.append(chat.choices[0].message.content)
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time.sleep(30)
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return ''.join(reply)
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inputs = [
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gr.inputs.Textbox(lines=2, label="Input Open API Key"),
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gr.inputs.File(label="Upload MDX File")
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]
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outputs = gr.outputs.Textbox(label="Translation")
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def translate_with_upload(text, file):
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openapi_key = text
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if file is not None:
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text_input = ""
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with open(file.name, 'r') as f:
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text_input += f.read()
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text_input += '\n'
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print(text_input)
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# ํ
์คํธ์์ ์ฝ๋ ๋ธ๋ก์ ์ ๊ฑฐํฉ๋๋ค.
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text_input = re.sub(r'```.*?```', '', text_input, flags=re.DOTALL)
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text_input = re.sub(r'^\|.*\|$\n?', '', text_input, flags=re.MULTILINE)
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# ํ
์คํธ์์ ๋น ์ค์ ์ ๊ฑฐํฉ๋๋ค.
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text_input = re.sub(r'^\n', '', text_input, flags=re.MULTILINE)
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text_input = re.sub(r'\n\n+', '\n\n', text_input)
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else:
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text_input = ""
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return translate(text_input, openapi_key)
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prompt_translate = gr.Interface(
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fn=translate_with_upload,
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inputs=inputs,
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outputs=outputs,
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title="ChatGPT Korean Prompt Translation",
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description="Translate your text into Korean using the GPT-3 model.", verbose=True
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)
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prompt_translate.launch()
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requirements.txt
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openai
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gradio
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