Update core/app.py
Browse files- core/app.py +24 -51
core/app.py
CHANGED
@@ -6,9 +6,6 @@ from pydantic import BaseModel, Field
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from typing import Optional
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from vocify import generate_speech
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import os
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from slowapi import Limiter
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from slowapi.util import get_remote_address
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from slowapi.errors import RateLimitExceeded
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from fastapi.middleware.cors import CORSMiddleware
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# Create necessary directories if they don't exist
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@@ -22,18 +19,6 @@ app = FastAPI(
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swagger_ui_parameters={"favicon": "/static/icon.png"}
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)
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# Rate Limiter Setup
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limiter = Limiter(key_func=get_remote_address)
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app.state.limiter = limiter
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# Rate limit error handler
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@app.exception_handler(RateLimitExceeded)
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async def rate_limit_exceeded_handler(request: Request, exc: RateLimitExceeded):
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return HTTPException(
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status_code=429,
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detail="Rate limit exceeded. Please try again later."
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)
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# Mount static files directory
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app.mount("/static", StaticFiles(directory="static"), name="static")
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@@ -48,38 +33,31 @@ MODEL_INFO = {
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"owner": "Pyxilabs AI Studio",
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"voices": {
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# Female Voices
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}
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}
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}
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# Rate limits for free tier
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RATE_LIMITS = {
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"rpm": 10, # Requests per minute
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"rph": 100, # Requests per hour
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"rpd": 1000, # Requests per day
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}
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# Pydantic model for speech request
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class SpeechRequest(BaseModel):
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model: Optional[str] = Field(default="Pyx r1-voice")
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@@ -89,9 +67,6 @@ class SpeechRequest(BaseModel):
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# Endpoint to generate speech
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@app.post("/v1/audio/speech")
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@app.get("/v1/audio/speech")
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@limiter.limit(f"{RATE_LIMITS['rpm']}/minute")
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@limiter.limit(f"{RATE_LIMITS['rph']}/hour")
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@limiter.limit(f"{RATE_LIMITS['rpd']}/day")
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async def create_speech(request: Request, speech_request: SpeechRequest):
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try:
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if speech_request.model != "Pyx r1-voice":
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@@ -127,10 +102,8 @@ async def get_models():
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"created": model_data["created"],
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"owner": model_data["owner"],
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"vocals": [
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{
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}
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for voice_name, voice_id in model_data["voices"].items()
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]
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}
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models_response.append(model_info)
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@@ -151,4 +124,4 @@ async def favicon():
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# Run the application
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=7860)
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from typing import Optional
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from vocify import generate_speech
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import os
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from fastapi.middleware.cors import CORSMiddleware
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# Create necessary directories if they don't exist
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swagger_ui_parameters={"favicon": "/static/icon.png"}
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)
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# Mount static files directory
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app.mount("/static", StaticFiles(directory="static"), name="static")
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"owner": "Pyxilabs AI Studio",
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"voices": {
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# Female Voices
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"seraphina": "XB0fDUnXU5powFXDhCwa", # Elegant and sophisticated
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"isabella": "LcfcDJNUP1GQjkzn1xUU", # Classic and timeless
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"astrid": "jsCqWAovK2LkecY7zXl4", # Strong and Nordic-inspired
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"lila": "jBpfuIE2acCO8z3wKNLl", # Playful and charming
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"elara": "z9fAnlkpzviPz146aGWa", # Mystical and enchanting
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"evelyn": "oWAxZDx7w5VEj9dCyTzz", # Graceful and refined
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# Male Voices
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"sebastian": "onwK4e9ZLuTAKqWW03F9", # Strong and authoritative
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"finnian": "N2lVS1w4EtoT3dr4eOWO", # Rugged and adventurous
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"theodore": "IKne3meq5aSn9XLyUdCD", # Warm and friendly
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"magnus": "2EiwWnXFnvU5JabPnv8n", # Bold and powerful
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"oliver": "CYw3kZ02Hs0563khs1Fj", # Reliable and approachable
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"liam": "g5CIjZEefAph4nQFvHAz", # Modern and confident
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"arthur": "SOYHLrjzK2X1ezoPC6cr", # Classic and noble
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"elliot": "ZQe5CZNOzWyzPSCn5a3c", # Sophisticated and calm
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"nathaniel": "bVMeCyTHy58xNoL34h3p", # Wise and thoughtful
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# Neutral Voices
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"rowan": "D38z5RcWu1voky8WS1ja", # Unisex, nature-inspired
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"avery": "zcAOhNBS3c14rBihAFp1",
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}
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}
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}
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# Pydantic model for speech request
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class SpeechRequest(BaseModel):
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model: Optional[str] = Field(default="Pyx r1-voice")
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# Endpoint to generate speech
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@app.post("/v1/audio/speech")
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@app.get("/v1/audio/speech")
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async def create_speech(request: Request, speech_request: SpeechRequest):
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try:
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if speech_request.model != "Pyx r1-voice":
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"created": model_data["created"],
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"owner": model_data["owner"],
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"vocals": [
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{"id": voice_name}
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for voice_name in model_data["voices"]
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]
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}
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models_response.append(model_info)
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# Run the application
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=7860)
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