updated skeleton with true data

worker/Dockerfile

@@ -1 +1,7 @@
-FROM nvidia/cuda:12.1.0-runtime-ubuntu22.04
+FROM nvidia/cuda:12.1.0-runtime-ubuntu22.04 AS base
+WORKDIR /app
+COPY requirements.worker.txt .
+RUN apt-get update && apt-get install -y python3-pip ffmpeg
+RUN pip3 install -r requirements.worker.txt
+COPY . .
+CMD ["python3","main.py"]

worker/core/gpu_detect.py

@@ -0,0 +1,4 @@
+import torch
+
+def device():
+    return 'cuda' if torch.cuda.is_available() else 'cpu'

worker/core/queue_worker.py

@@ -0,0 +1,18 @@
+import redis, json, os
+
+REDIS_HOST=os.environ.get("REDIS_HOST","redis")
+r=redis.Redis(host=REDIS_HOST, port=6379, db=0)
+
+QUEUE="tts_queue"
+RESULT="tts_result"
+
+def fetch_job():
+    data=r.rpop(QUEUE)
+    if not data:
+        return None
+    return json.loads(data)
+
+def store_result(job_id:str, audio:bytes, mime:str):
+    key=f"{RESULT}:{job_id}"
+    obj={"audio": audio.hex(), "mime": mime}
+    r.set(key, json.dumps(obj))

worker/engine/audio_export.py

@@ -0,0 +1,19 @@
+from pydub import AudioSegment
+import io
+
+def convert_audio(raw_bytes: bytes, fmt: str):
+    # raw mono 32-bit float fake waveform
+    seg = AudioSegment(
+        raw_bytes,
+        frame_rate=22050,
+        sample_width=4,
+        channels=1
+    )
+    buf=io.BytesIO()
+    seg.export(buf, format=fmt)
+    mime={
+        "wav":"audio/wav",
+        "mp3":"audio/mpeg",
+        "ogg":"audio/ogg"
+    }.get(fmt,"audio/wav")
+    return buf.getvalue(), mime

worker/engine/xtts2_loader.py

@@ -0,0 +1,10 @@
+# Dummy XTTS2 logic placeholder
+# Replace with real TTS model loading
+
+def synthesize(job: dict):
+    # return artificial sine wave placeholder
+    import numpy as np
+    sr=22050
+    t=np.linspace(0,0.3,int(sr*0.3))
+    tone=(0.1*np.sin(2*np.pi*440*t)).astype('float32')
+    return tone.tobytes()

worker/main.py

@@ -1 +1,16 @@
-print('worker start')
+import time, json, os
+from core.queue_worker import fetch_job, store_result
+from engine.xtts2_loader import synthesize
+from engine.audio_export import convert_audio
+
+print("Worker gestartet. Warte auf Jobs…")
+
+while True:
+    job = fetch_job()
+    if not job:
+        time.sleep(0.1)
+        continue
+
+    audio = synthesize(job)
+    out, mime = convert_audio(audio, job.get("format","wav"))
+    store_result(job["job_id"], out, mime)

worker/requirements.worker.txt

@@ -1 +1,5 @@
-TTS
+pydub
+redis
+torch
+numpy
+requests

worker/voices/registry.json

@@ -0,0 +1 @@
+{}