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app.py

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+import os
+import torch
+import numpy as np
+from fastapi import FastAPI, UploadFile, Form
+from fastapi.responses import FileResponse
+from TTS.api import TTS
+import tempfile
+import soundfile as sf
+
+# Forzar consentimiento de licencia
+os.environ["COQUI_TOS_AGREED"] = "1"
+
+# Monkey patch temporal de torch.load
+original_torch_load = torch.load
+
+def patched_torch_load(f, *args, **kwargs):
+    kwargs["weights_only"] = False
+    return original_torch_load(f, *args, **kwargs)
+
+torch.load = patched_torch_load
+
+# Cargar modelo XTTS
+tts = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v2")
+
+app = FastAPI()
+
+@app.post("/generate-audio/")
+async def generate_audio(
+    text: str = Form(...),
+    language: str = Form(...),
+    speaker_wav: UploadFile = Form(...)
+):
+    # Guardar archivo temporalmente
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as tmp:
+        contents = await speaker_wav.read()
+        tmp.write(contents)
+        tmp_path = tmp.name
+
+    # Generar audio
+    audio = tts.tts(
+        text=text,
+        speaker_wav=tmp_path,
+        language=language,
+        split_sentences=True,
+        emotion="Angry"
+    )
+
+    # Guardar output
+    out_path = tempfile.mktemp(suffix=".wav")
+    sf.write(out_path, audio, 24000)
+
+    return FileResponse(out_path, media_type="audio/wav", filename="output.wav")

requirements.txt

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+fastapi
+uvicorn
+torch
+numpy
+soundfile
+TTS