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ffreemt
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ab0881d
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Parent(s):
e34fdf8
Update ycecream loguru, add tz
Browse files- app.py +108 -46
- requirements.txt +2 -0
app.py
CHANGED
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@@ -1,53 +1,85 @@
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import
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import re
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from difflib import Differ
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LANGUAGES = {
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}
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def diff_texts(text1, text2, lang):
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d = Differ()
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return [
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(token[2:], token[0] if token[0] != " " else None)
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for token in d.compare(text1, text2)
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if token[0] in ["+", " "]
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]
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else:
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words1 = re.findall(r
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words2 = re.findall(r
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return [
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(token[2:], token[0] if token[0] != " " else None)
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for token in d.compare(words1, words2)
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if token[0] in ["+", " "]
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]
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num_tokens_in_text = num_tokens_in_string(source_text)
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if num_tokens_in_text < max_tokens:
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#Note: use yield from B() if put yield in function B()
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translation_1 = one_chunk_initial_translation(
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source_lang, target_lang, source_text
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)
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translation_2 = one_chunk_improve_translation(
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source_lang, target_lang, source_text, translation_1, reflection
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)
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translation_diff = diff_texts(
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yield translation_1, reflection, translation_diff
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else:
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token_size = calculate_chunk_size(
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token_count=num_tokens_in_text, token_limit=max_tokens
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)
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text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder(
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model_name
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chunk_size=token_size,
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chunk_overlap=0,
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)
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source_text_chunks = text_splitter.split_text(source_text)
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translation_1_chunks = multichunk_initial_translation(
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source_lang, target_lang, source_text_chunks
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)
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translation_1 = "".join(translation_1_chunks)
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yield translation_1, None, None
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translation_1_chunks,
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country,
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)
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reflection = "".join(reflection_chunks)
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yield translation_1, reflection, None
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translation_1_chunks,
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reflection_chunks,
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)
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translation_2 = "".join(translation_2_chunks)
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translation_diff = diff_texts(
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yield translation_1, reflection, translation_diff
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def update_ui(translation_1, reflection, translation_diff):
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return
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with gr.Blocks() as demo:
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gr.Markdown("# Andrew Ng's Translation Agent ")
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with gr.Row():
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source_lang = gr.Dropdown(
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country = gr.Textbox(label="Country (for target language)")
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source_text = gr.Textbox(
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btn = gr.Button("Translate")
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translation_1 = gr.Textbox(label="Initial Translation", lines=3)
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reflection = gr.Textbox(label="Reflection", lines=3)
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translation_diff = gr.HighlightedText
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demo.launch()
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import os
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import re
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import time
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from difflib import Differ
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import gradio as gr
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from loguru import logger
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from ycecream import y
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# from src.translation_agent.utils import *
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from src.translation_agent.utils import MAX_TOKENS_PER_CHUNK
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from src.translation_agent.utils import RecursiveCharacterTextSplitter
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from src.translation_agent.utils import calculate_chunk_size
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from src.translation_agent.utils import multichunk_improve_translation
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from src.translation_agent.utils import multichunk_initial_translation
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from src.translation_agent.utils import multichunk_reflect_on_translation
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from src.translation_agent.utils import num_tokens_in_string
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from src.translation_agent.utils import one_chunk_improve_translation
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from src.translation_agent.utils import one_chunk_initial_translation
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from src.translation_agent.utils import one_chunk_reflect_on_translation
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y.configure(sln=1, show_time=1)
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os.environ["TZ"] = "Asia/Shanghai"
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try:
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time.tzset() # type: ignore # pylint: disable=no-member
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except Exception:
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# Windows
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y("Windows, cant run time.tzset()")
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LANGUAGES = {
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"English": "English",
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"Español": "Spanish",
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"Français": "French",
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"Deutsch": "German",
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"Italiano": "Italian",
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"Português": "Portuguese",
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"Русский": "Russian",
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"中文": "Chinese",
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"日本語": "Japanese",
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"한국어": "Korean",
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"العربية": "Arabic",
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"हिन्दी": "Hindi",
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}
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def diff_texts(text1, text2, lang):
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d = Differ()
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# y(lang)
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logger.info(lang)
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if lang == "中文":
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return [
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(token[2:], token[0] if token[0] != " " else None)
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for token in d.compare(text1, text2)
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if token[0] in ["+", " "]
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]
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else:
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words1 = re.findall(r"\S+|\s+", text1)
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words2 = re.findall(r"\S+|\s+", text2)
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return [
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(token[2:], token[0] if token[0] != " " else None)
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for token in d.compare(words1, words2)
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if token[0] in ["+", " "]
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]
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def translate_text(
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source_lang,
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target_lang,
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source_text,
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country,
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max_tokens=MAX_TOKENS_PER_CHUNK,
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):
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num_tokens_in_text = num_tokens_in_string(source_text)
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y(num_tokens_in_text)
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if num_tokens_in_text < max_tokens:
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y("Translating text as single chunk")
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# Note: use yield from B() if put yield in function B()
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translation_1 = one_chunk_initial_translation(
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source_lang, target_lang, source_text
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)
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translation_2 = one_chunk_improve_translation(
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source_lang, target_lang, source_text, translation_1, reflection
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)
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translation_diff = diff_texts(
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translation_1, translation_2, target_lang
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)
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yield translation_1, reflection, translation_diff
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else:
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y("Translating text as multiple chunks")
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token_size = calculate_chunk_size(
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token_count=num_tokens_in_text, token_limit=max_tokens
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)
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y(token_size)
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text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder(
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model_name="gpt-4",
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chunk_size=token_size,
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chunk_overlap=0,
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)
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source_text_chunks = text_splitter.split_text(source_text)
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+
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translation_1_chunks = multichunk_initial_translation(
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source_lang, target_lang, source_text_chunks
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)
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y(translation_1_chunks)
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translation_1 = "".join(translation_1_chunks)
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yield translation_1, None, None
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translation_1_chunks,
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country,
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)
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y(reflection_chunks)
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reflection = "".join(reflection_chunks)
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yield translation_1, reflection, None
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translation_1_chunks,
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reflection_chunks,
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)
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y(translation_2_chunks)
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translation_2 = "".join(translation_2_chunks)
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translation_diff = diff_texts(
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translation_1, translation_2, target_lang
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)
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yield translation_1, reflection, translation_diff
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def update_ui(translation_1, reflection, translation_diff):
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return (
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gr.update(value=translation_1),
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gr.update(value=reflection),
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gr.update(value=translation_diff),
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)
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with gr.Blocks() as demo:
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gr.Markdown("# Andrew Ng's Translation Agent ")
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with gr.Row():
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source_lang = gr.Dropdown(
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choices=list(LANGUAGES.keys()),
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value="English",
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label="Source Language",
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)
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target_lang = gr.Dropdown(
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choices=list(LANGUAGES.keys()),
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value="中文",
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label="Target Language",
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)
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country = gr.Textbox(label="Country (for target language)")
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source_text = gr.Textbox(
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label="Source Text", lines=5, show_copy_button=True
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)
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btn = gr.Button("Translate")
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translation_1 = gr.Textbox(label="Initial Translation", lines=3)
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reflection = gr.Textbox(label="Reflection", lines=3)
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translation_diff = gr.HighlightedText(
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label="Final Translation",
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combine_adjacent=True,
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show_legend=True,
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color_map={"+": "red"},
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)
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# translation = gr.Textbox(label="Final Translation", lines=5, show_copy_button=True)
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btn.click(
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translate_text,
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inputs=[source_lang, target_lang, source_text, country],
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outputs=[translation_1, reflection, translation_diff],
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queue=True,
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)
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btn.click(
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update_ui,
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inputs=[translation_1, reflection, translation_diff],
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outputs=[translation_1, reflection, translation_diff],
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queue=True,
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)
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demo.launch()
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requirements.txt
CHANGED
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aiofiles==23.2.1 ; python_version >= "3.9" and python_version < "4.0"
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altair==5.3.0 ; python_version >= "3.9" and python_version < "4.0"
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annotated-types==0.7.0 ; python_version >= "3.9" and python_version < "4.0"
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ycecream
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loguru
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aiofiles==23.2.1 ; python_version >= "3.9" and python_version < "4.0"
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altair==5.3.0 ; python_version >= "3.9" and python_version < "4.0"
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annotated-types==0.7.0 ; python_version >= "3.9" and python_version < "4.0"
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