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>

Dockerfile

@@ -0,0 +1,27 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    gcc \
+    g++ \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Create directory for model cache
+RUN mkdir -p /app/models
+
+# Expose port
+EXPOSE 8000
+
+# Run the application
+CMD ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]