apiRoutes.py

import os
import shutil
import tempfile
import asyncio
from fastapi import APIRouter, UploadFile, File, HTTPException
from fastapi.responses import JSONResponse
from typing import List

os.environ["HF_HOME"] = "/tmp" 
os.environ["HUGGINGFACE_HUB_CACHE"] = "/tmp/huggingface_cache" 
os.makedirs("/tmp/huggingface_cache", exist_ok=True) 
# Ensure these imports are correct
from lettersController import detectFromImage
from wordsController import detectWords
from glossController import translateGloss

router = APIRouter(prefix="/handsUPApi/sign")

@router.post("/processLetters")
async def process_letters(frames: List[UploadFile] = File(...)):
    """Processes a sequence of frames to detect sign language letters."""
    sequence_num = 20
    if len(frames) != sequence_num:
        raise HTTPException(status_code=400, detail=f"Exactly {sequence_num} frames are required")

    # CRITICAL: Read the binary content of each file
    # We will pass a list of image bytes (memory buffers), NOT UploadFile objects.
    image_bytes_list = []
    try:
        for frame in frames:
            # frame.file is an async context manager, read() returns bytes
            contents = await frame.read()
            image_bytes_list.append(contents)
    except Exception as e:
        # Handle potential file read errors
        raise HTTPException(status_code=500, detail=f"Error reading uploaded file contents: {e}")

    # Pass the list of image bytes to the controller
    result = detectFromImage(image_bytes_list)
    return JSONResponse(content=result)

@router.post("/processWords")
async def process_words(frames: List[UploadFile] = File(...)):
    """Processes a sequence of frames to detect sign language words."""
    sequence_num = 90
    if len(frames) != sequence_num:
        raise HTTPException(status_code=400, detail=f"Exactly {sequence_num} frames are required")

    # CRITICAL: Read the binary content of each file
    image_bytes_list = []
    try:
        for frame in frames:
            contents = await frame.read()
            image_bytes_list.append(contents)
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Error reading uploaded file contents: {e}")

    # Call the imported function directly
    result = detectWords(image_bytes_list)
    return JSONResponse(content=result)

@router.post("/sentence")
async def sign_sentence(data: dict):
    """Generates a signed sentence from a given gloss."""
    gloss_input = data.get("gloss")
    if not gloss_input:
        raise HTTPException(status_code=400, detail="No gloss provided")

    # Call the imported function directly
    result = translateGloss(gloss_input)
    return JSONResponse(content={"translation": result})