Initial commit: Multilingual Translation API

- Implemented REST API for 105+ language translation
- Used Facebook M2M100 model (Apache 2.0 License - Commercial use allowed)
- Supports any-to-any translation between 105 languages
- Major languages: English, Chinese, Spanish, Arabic, Russian, Japanese, Korean, etc.
- Southeast Asian: Malay, Indonesian, Thai, Vietnamese, Tagalog, Burmese, Khmer, Lao
- South Asian: Bengali, Hindi, Urdu, Tamil, Telugu, Marathi, Gujarati, etc.
- European: German, French, Italian, Spanish, Portuguese, Russian, etc.
- African: Swahili, Amharic, Hausa, Igbo, Yoruba, Zulu, Xhosa
- And many more languages

Tech Stack:
- FastAPI for REST API
- Transformers (Hugging Face) for ML model
- PyTorch for inference
- Docker for containerization
- M2M100 418M parameter model

Features:
- Health check endpoint
- Supported languages listing
- Dynamic language validation
- Model caching for performance
- GPU support (auto-detection)
- CORS enabled for web clients

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

app/models.py

@@ -0,0 +1,51 @@
+from pydantic import BaseModel, Field, field_validator
+from typing import Optional
+
+
+class TranslationRequest(BaseModel):
+    """Translation request schema"""
+    text: str = Field(..., description="Text to translate", min_length=1, max_length=5000)
+    source_lang: str = Field(..., description="Source language code (e.g., 'en', 'ms', 'bn', etc.)", min_length=2, max_length=5)
+    target_lang: str = Field(..., description="Target language code (e.g., 'en', 'ms', 'bn', etc.)", min_length=2, max_length=5)
+
+    @field_validator('source_lang', 'target_lang')
+    @classmethod
+    def validate_lang_code(cls, v: str) -> str:
+        """Validate language code format"""
+        return v.lower().strip()
+
+    class Config:
+        json_schema_extra = {
+            "example": {
+                "text": "Selamat pagi, apa khabar?",
+                "source_lang": "ms",
+                "target_lang": "en"
+            }
+        }
+
+
+class TranslationResponse(BaseModel):
+    """Translation response schema"""
+    original_text: str = Field(..., description="Original input text")
+    translated_text: str = Field(..., description="Translated text")
+    source_lang: str = Field(..., description="Source language code")
+    target_lang: str = Field(..., description="Target language code")
+    model_used: str = Field(..., description="Translation model identifier")
+
+    class Config:
+        json_schema_extra = {
+            "example": {
+                "original_text": "Selamat pagi, apa khabar?",
+                "translated_text": "Good morning, how are you?",
+                "source_lang": "ms",
+                "target_lang": "en",
+                "model_used": "Helsinki-NLP/opus-mt-ms-en"
+            }
+        }
+
+
+class HealthResponse(BaseModel):
+    """Health check response"""
+    status: str
+    message: str
+    models_loaded: bool