File size: 5,168 Bytes
acf8bfe
1fd0997
129257a
acf8bfe
129257a
54a9930
fc58506
e8b7c49
5dc46ff
 
 
fc58506
acf8bfe
54a9930
acf8bfe
 
 
54a9930
1fd0997
a371d81
 
 
 
 
e8b7c49
a371d81
1fd0997
 
54a9930
 
 
1fd0997
acf8bfe
1fd0997
e8b7c49
1fd0997
e8b7c49
acf8bfe
1fd0997
acf8bfe
fc58506
129257a
 
e8b7c49
56ffb39
e8b7c49
56ffb39
e8b7c49
56ffb39
 
 
129257a
56ffb39
129257a
 
54a9930
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e8b7c49
fc58506
56ffb39
e8b7c49
54a9930
 
e8b7c49
acf8bfe
e8b7c49
 
acf8bfe
54a9930
56ffb39
 
 
 
 
 
e8b7c49
54a9930
129257a
56ffb39
129257a
e8b7c49
54a9930
1fd0997
 
e8b7c49
 
 
 
 
 
54a9930
 
 
 
 
56ffb39
54a9930
e8b7c49
54a9930
 
 
 
 
e8b7c49
54a9930
e8b7c49
 
acf8bfe
e8b7c49
129257a
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
from fastapi import FastAPI, HTTPException
from transformers import pipeline
import langdetect
import logging
import os
from typing import Optional

# Set environment variables for Hugging Face cache
os.environ["HF_HOME"] = "/app/cache"
os.environ["TRANSFORMERS_CACHE"] = "/app/cache"

app = FastAPI()

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Map of supported language models
MODEL_MAP = {
    "id": "Helsinki-NLP/opus-mt-id-en",
    "th": "Helsinki-NLP/opus-mt-th-en",
    "fr": "Helsinki-NLP/opus-mt-fr-en",
    "es": "Helsinki-NLP/opus-mt-es-en",
    "ja": "Helsinki-NLP/opus-mt-ja-en",
    "zh": "Helsinki-NLP/opus-mt-zh-en",
    "vi": "Helsinki-NLP/opus-mt-vi-en",
}

# List of terms to protect from translation
PROTECTED_TERMS = ["2030 Aspirations"]

translators = {}
try:
    for lang, model_name in MODEL_MAP.items():
        logger.info(f"Loading model for {lang} from {model_name}...")
        translators[lang] = pipeline("translation", model=model_name)
        logger.info(f"Model for {lang} loaded successfully.")
except Exception as e:
    logger.error(f"Model initialization failed: {str(e)}")
    raise Exception(f"Model initialization failed: {str(e)}")

def detect_language(text: str) -> str:
    try:
        detected_lang = langdetect.detect(text)
        logger.info(f"langdetect raw result: '{detected_lang}' for text: '{text[:50]}...'")
        if detected_lang.startswith('zh'):
            logger.info(f"Normalizing '{detected_lang}' to 'zh' for Mandarin.")
            return 'zh'
        final_lang = detected_lang if detected_lang in MODEL_MAP else "en"
        logger.info(f"Final determined language: '{final_lang}'. (Based on raw detected: '{detected_lang}')")
        return final_lang
    except Exception as e:
        logger.warning(f"Language detection FAILED for text: '{text[:50]}...'. Error: {str(e)}. Defaulting to English.")
        return "en"

def protect_terms(text: str, protected_terms: list) -> tuple[str, dict]:
    """
    Replace protected terms with placeholders to prevent translation.
    Returns the modified text and a dictionary mapping placeholders to original terms.
    """
    modified_text = text
    replacements = {}
    for i, term in enumerate(protected_terms):
        placeholder = f"__PROTECTED_{i}__"
        replacements[placeholder] = term
        modified_text = modified_text.replace(term, placeholder)
    return modified_text, replacements

def restore_terms(text: str, replacements: dict) -> str:
    """
    Restore protected terms in the translated text using the replacements dictionary.
    """
    restored_text = text
    for placeholder, term in replacements.items():
        restored_text = restored_text.replace(placeholder, term)
    return restored_text

@app.post("/translate")
async def translate(text: str, source_lang_override: Optional[str] = None):
    """
    Translate text to English, preserving protected terms like '2030 Aspirations'.
    Automatically detects source language or uses override.
    """
    if not text:
        raise HTTPException(status_code=400, detail="Text input is required.")

    try:
        # Determine source language
        if source_lang_override and source_lang_override in MODEL_MAP:
            source_lang = source_lang_override
            logger.info(f"Source language overridden by user to: '{source_lang_override}'.")
        else:
            source_lang = detect_language(text)
            logger.info(f"Determined source language for translation: '{source_lang}'.")

        # If source language is English, return original text
        if source_lang == "en":
            logger.info("Source language is English or unrecognized, returning original text.")
            return {"translated_text": text}

        # Get translator
        translator = translators.get(source_lang)
        if not translator:
            logger.error(f"No translator found for language: '{source_lang}'.")
            raise HTTPException(
                status_code=400,
                detail=f"Translation not supported for language: {source_lang}."
            )

        # Protect terms before translation
        modified_text, replacements = protect_terms(text, PROTECTED_TERMS)
        logger.info(f"Text after protecting terms: '{modified_text[:50]}...'")

        # Perform translation
        logger.info(f"Translating text from '{source_lang}' to English...")
        result = translator(modified_text)
        translated_text = result[0]["translation_text"]
        logger.info(f"Translation successful. Original: '{modified_text[:50]}...', Translated: '{translated_text[:50]}...'")

        # Restore protected terms
        final_text = restore_terms(translated_text, replacements)
        logger.info(f"Final translated text with restored terms: '{final_text[:50]}...'")

        return {"translated_text": final_text}
    except HTTPException as e:
        raise e
    except Exception as e:
        logger.error(f"An unexpected error occurred during processing: {str(e)}", exc_info=True)
        raise HTTPException(status_code=500, detail=f"Processing failed: {str(e)}")