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import gradio as gr
import subprocess
import openai
import time
import re
def translate(text_input, openapi_key):
openai.api_key = openapi_key
# ๋ผ์ด์ ์ค ๋ฌธ์ฅ ์ ๊ฑฐ
rm_line = text_input.find('-->')
text_list = text_input[rm_line+4:].split('\n')
print(text_list)
reply = []
for i in range(0,len(text_list),10):
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.
```md
%s"""%'\n'.join(text_list[i:i+10])
chat = openai.ChatCompletion.create(
model = "gpt-3.5-turbo-0301", messages=[
{"role": "system",
"content": content},])
print("์ง๋ฌธ")
print(content)
print("์๋ต")
print(chat.choices[0].message.content)
reply.append(chat.choices[0].message.content)
time.sleep(30)
return ''.join(reply)
inputs = [
gr.inputs.Textbox(lines=2, label="Input Open API Key"),
gr.inputs.File(label="Upload MDX File")
]
outputs = gr.outputs.Textbox(label="Translation")
def translate_with_upload(text, file):
openapi_key = text
if file is not None:
text_input = ""
with open(file.name, 'r') as f:
text_input += f.read()
text_input += '\n'
print(text_input)
# ํ
์คํธ์์ ์ฝ๋ ๋ธ๋ก์ ์ ๊ฑฐํฉ๋๋ค.
text_input = re.sub(r'```.*?```', '', text_input, flags=re.DOTALL)
text_input = re.sub(r'^\|.*\|$\n?', '', text_input, flags=re.MULTILINE)
# ํ
์คํธ์์ ๋น ์ค์ ์ ๊ฑฐํฉ๋๋ค.
text_input = re.sub(r'^\n', '', text_input, flags=re.MULTILINE)
text_input = re.sub(r'\n\n+', '\n\n', text_input)
else:
text_input = ""
return translate(text_input, openapi_key)
prompt_translate = gr.Interface(
fn=translate_with_upload,
inputs=inputs,
outputs=outputs,
title="ChatGPT Korean Prompt Translation",
description="Translate your text into Korean using the GPT-3 model.", verbose=True
)
prompt_translate.launch()
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