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Update app.py
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app.py
CHANGED
@@ -4,6 +4,10 @@ import langdetect
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import logging
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import os
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from typing import Optional
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# Set environment variables for Hugging Face cache
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os.environ["HF_HOME"] = "/app/cache"
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@@ -11,16 +15,16 @@ os.environ["TRANSFORMERS_CACHE"] = "/app/cache"
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app = FastAPI()
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# Configure logging
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logging.basicConfig(
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logger = logging.getLogger(__name__)
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# Map of supported language models
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MODEL_MAP = {
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"id": "Helsinki-NLP/opus-mt-id-en",
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"th": "Helsinki-NLP/opus-mt-th-en",
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"fr": "Helsinki-NLP/opus-mt-fr-en",
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"es": "Helsinki-NLP/opus-mt-es-en",
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"ja": "Helsinki-NLP/opus-mt-ja-en",
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"zh": "Helsinki-NLP/opus-mt-zh-en",
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"vi": "Helsinki-NLP/opus-mt-vi-en",
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@@ -29,47 +33,54 @@ MODEL_MAP = {
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# List of terms to protect from translation
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PROTECTED_TERMS = ["2030 Aspirations"]
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translators = {}
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logger.info(f"Model for {lang} loaded successfully.")
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logger.error(f"Model initialization failed: {str(e)}")
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raise Exception(f"Model initialization failed: {str(e)}")
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def detect_language(text: str) -> str:
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try:
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detected_lang = langdetect.detect(text)
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logger.
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if detected_lang.startswith('zh'):
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logger.
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return 'zh'
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final_lang = detected_lang if detected_lang in MODEL_MAP else "en"
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logger.
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return final_lang
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except Exception as e:
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logger.warning(f"Language detection FAILED for text: '{text[:50]}...'. Error: {str(e)}. Defaulting to English.")
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return "en"
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def protect_terms(text: str, protected_terms: list) -> tuple[str, dict]:
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"""
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Replace protected terms with placeholders to prevent translation.
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Returns the modified text and a dictionary mapping placeholders to original terms.
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"""
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modified_text = text
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replacements = {}
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for i, term in enumerate(protected_terms):
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placeholder = f"__PROTECTED_{i}__"
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replacements[placeholder] = term
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return modified_text, replacements
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def restore_terms(text: str, replacements: dict) -> str:
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"""
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Restore protected terms in the translated text using the replacements dictionary.
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"""
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restored_text = text
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for placeholder, term in replacements.items():
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restored_text = restored_text.replace(placeholder, term)
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@@ -84,22 +95,23 @@ async def translate(text: str, source_lang_override: Optional[str] = None):
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if not text:
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raise HTTPException(status_code=400, detail="Text input is required.")
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try:
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# Determine source language
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if source_lang_override and source_lang_override in MODEL_MAP:
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source_lang = source_lang_override
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logger.
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else:
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source_lang = detect_language
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logger.
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# If source language is English, return original text
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if source_lang == "en":
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logger.
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return {"translated_text": text}
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# Get translator
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translator =
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if not translator:
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logger.error(f"No translator found for language: '{source_lang}'.")
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raise HTTPException(
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@@ -109,21 +121,21 @@ async def translate(text: str, source_lang_override: Optional[str] = None):
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# Protect terms before translation
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modified_text, replacements = protect_terms(text, PROTECTED_TERMS)
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logger.
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# Perform translation
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logger.
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result = translator
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translated_text = result[0]["translation_text"]
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logger.
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# Restore protected terms
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final_text = restore_terms(translated_text, replacements)
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logger.
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return {"translated_text": final_text}
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except HTTPException as e:
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raise e
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except Exception as e:
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logger.error(f"An unexpected error occurred during processing: {str(e)}", exc_info=True)
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raise HTTPException(
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import logging
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import os
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from typing import Optional
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import re
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from functools import lru_cache
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import asyncio
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import logging.handlers
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# Set environment variables for Hugging Face cache
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os.environ["HF_HOME"] = "/app/cache"
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app = FastAPI()
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# Configure asynchronous logging with RotatingFileHandler to reduce I/O blocking
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logging.basicConfig(
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level=logging.INFO,
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handlers=[logging.handlers.RotatingFileHandler("app.log", maxBytes=1000000, backupCount=1)]
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)
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logger = logging.getLogger(__name__)
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# Map of supported language models
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MODEL_MAP = {
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"th": "Helsinki-NLP/opus-mt-th-en",
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"ja": "Helsinki-NLP/opus-mt-ja-en",
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"zh": "Helsinki-NLP/opus-mt-zh-en",
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"vi": "Helsinki-NLP/opus-mt-vi-en",
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# List of terms to protect from translation
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PROTECTED_TERMS = ["2030 Aspirations"]
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# Cache for translators to avoid reloading models unnecessarily
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translators = {}
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def get_translator(lang: str):
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"""Load or retrieve cached translator for the given language."""
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if lang not in translators:
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logger.info(f"Loading model for {lang} from {MODEL_MAP[lang]}...")
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# Optimize pipeline with max_length and num_beams for faster inference
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translators[lang] = pipeline(
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"translation",
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model=MODEL_MAP[lang],
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device=-1, # Explicitly use CPU for Hugging Face Spaces (free tier)
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model_kwargs={"load_in_8bit": True} if os.getenv("USE_QUANTIZATION", "0") == "1" else {}
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)
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logger.info(f"Model for {lang} loaded successfully.")
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return translators[lang]
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@lru_cache(maxsize=100)
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def detect_language(text: str) -> str:
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"""Cached language detection to reduce overhead for repeated inputs."""
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try:
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detected_lang = langdetect.detect(text)
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logger.debug(f"langdetect raw result: '{detected_lang}' for text: '{text[:50]}...'")
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if detected_lang.startswith('zh'):
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logger.debug(f"Normalizing '{detected_lang}' to 'zh' for Mandarin.")
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return 'zh'
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final_lang = detected_lang if detected_lang in MODEL_MAP else "en"
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logger.debug(f"Final determined language: '{final_lang}'. (Based on raw detected: '{detected_lang}')")
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return final_lang
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except Exception as e:
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logger.warning(f"Language detection FAILED for text: '{text[:50]}...'. Error: {str(e)}. Defaulting to English.")
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return "en"
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def protect_terms(text: str, protected_terms: list) -> tuple[str, dict]:
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"""Replace protected terms with placeholders using regex for efficiency."""
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modified_text = text
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replacements = {}
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for i, term in enumerate(protected_terms):
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placeholder = f"__PROTECTED_{i}__"
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replacements[placeholder] = term
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# Use regex for case-sensitive replacement in a single pass
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modified_text = re.sub(r'\b' + re.escape(term) + r'\b', placeholder, modified_text)
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if replacements:
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logger.debug(f"Protected terms replaced: {replacements}")
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return modified_text, replacements
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def restore_terms(text: str, replacements: dict) -> str:
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"""Restore protected terms in the translated text."""
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restored_text = text
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for placeholder, term in replacements.items():
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restored_text = restored_text.replace(placeholder, term)
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if not text:
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raise HTTPException(status_code=400, detail="Text input is required.")
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try.lytic
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try:
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# Determine source language
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if source_lang_override and source_lang_override in MODEL_MAP:
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source_lang = source_lang_override
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logger.debug(f"Source language overridden by user to: '{source_lang_override}'.")
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else:
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source_lang = await asyncio.to_thread(detect_language, text) # Run detection in a thread to avoid blocking
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logger.debug(f"Determined source language for translation: '{source_lang}'.")
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# If source language is English, return original text
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if source_lang == "en":
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logger.debug("Source language is English or unrecognized, returning original text.")
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return {"translated_text": text}
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# Get translator (lazy-loaded)
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translator = get_translator(source_lang)
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if not translator:
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logger.error(f"No translator found for language: '{source_lang}'.")
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raise HTTPException(
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# Protect terms before translation
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modified_text, replacements = protect_terms(text, PROTECTED_TERMS)
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logger.debug(f"Text after protecting terms: '{modified_text[:50]}...'")
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# Perform translation in a thread to avoid blocking the event loop
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logger.debug(f"Translating text from '{source_lang}' to English...")
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result = await asyncio.to_thread(translator, modified_text, max_length=512, num_beams=4)
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translated_text = result[0]["translation_text"]
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logger.debug(f"Translation successful. Original: '{modified_text[:50]}...', Translated: '{translated_text[:50]}...'")
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# Restore protected terms
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final_text = restore_terms(translated_text, replacements)
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logger.debug(f"Final translated text with restored terms: '{final_text[:50]}...'")
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return {"translated_text": final_text}
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except HTTPException as e:
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raise e
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except Exception as e:
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logger.error(f"An unexpected error occurred during processing: {str(e)}", exc_info=True)
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raise HTTPException(statusinvestigate further
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