llama3.2-api / gemini_tts_api.py
NitinBot001's picture
Update gemini_tts_api.py
a56c699 verified
#!/usr/bin/env python3
"""
Gemini TTS API Server
A FastAPI-based REST API for Google's Gemini Text-to-Speech service
with concurrent request handling and audio format conversion.
"""
import os
import asyncio
import json
import base64
import uuid
from datetime import datetime
from typing import Optional, List, Dict, Any
from io import BytesIO
import aiohttp
import aiofiles
from fastapi import FastAPI, HTTPException, BackgroundTasks, Request
from fastapi.responses import FileResponse, JSONResponse
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel, Field
from pydub import AudioSegment
import uvicorn
# Pydantic models for request/response
class VoiceConfig(BaseModel):
voice_name: str = Field(default="Zephyr", description="Voice name (e.g., Zephyr, Puck)")
class SpeakerConfig(BaseModel):
speaker: str = Field(description="Speaker identifier")
voice_config: VoiceConfig
class TTSRequest(BaseModel):
text: str = Field(description="Text to convert to speech")
speakers: Optional[List[SpeakerConfig]] = Field(
default=None,
description="Multi-speaker configuration (optional)"
)
voice_name: Optional[str] = Field(
default="Zephyr",
description="Single voice name (used if speakers not provided)"
)
output_format: str = Field(default="wav", description="Output format: wav or mp3")
speed_factor: float = Field(default=1.0, description="Speed adjustment factor")
temperature: float = Field(default=1.0, description="Generation temperature")
class TTSResponse(BaseModel):
task_id: str
status: str
message: str
audio_url: Optional[str] = None
metadata: Optional[Dict[str, Any]] = None
class TaskStatus(BaseModel):
task_id: str
status: str
progress: Optional[str] = None
error: Optional[str] = None
result: Optional[Dict[str, Any]] = None
# Global task storage (in production, use Redis or database)
tasks: Dict[str, Dict[str, Any]] = {}
# FastAPI app initialization
app = FastAPI(
title="Gemini TTS API",
description="Text-to-Speech API using Google's Gemini model with concurrent request handling",
version="1.0.0"
)
# CORS middleware
app.add_middleware(
CORSMiddleware,
allow_origins=["*"], # Configure appropriately for production
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Configuration
def get_api_keys():
"""Get API keys from environment variables"""
# Support multiple formats for API keys
api_keys = []
# Single API key (backward compatibility)
single_key = os.getenv('GEMINI_API_KEY')
if single_key:
api_keys.append(single_key.strip())
# Multiple API keys (comma-separated)
multi_keys = os.getenv('GEMINI_API_KEYS')
if multi_keys:
keys = [key.strip() for key in multi_keys.split(',') if key.strip()]
api_keys.extend(keys)
# Individual API keys (GEMINI_API_KEY_1, GEMINI_API_KEY_2, etc.)
i = 1
while True:
key = os.getenv(f'GEMINI_API_KEY_{i}')
if not key:
break
api_keys.append(key.strip())
i += 1
# Remove duplicates while preserving order
seen = set()
unique_keys = []
for key in api_keys:
if key not in seen:
seen.add(key)
unique_keys.append(key)
return unique_keys
GEMINI_API_KEYS = get_api_keys()
MODEL_ID = "gemini-2.5-flash-preview-tts"
GENERATE_CONTENT_API = "streamGenerateContent"
OUTPUT_DIR = "/tmp/audio_files"
MAX_CONCURRENT_REQUESTS = 10
RATE_LIMIT_RETRY_DELAY = 60 # seconds to wait after rate limit
MAX_RETRIES_PER_KEY = 2
# API key management
class APIKeyManager:
def __init__(self, api_keys: List[str]):
self.api_keys = api_keys
self.current_key_index = 0
self.key_stats = {key: {"requests": 0, "failures": 0, "last_rate_limit": None} for key in api_keys}
self.lock = asyncio.Lock()
async def get_next_key(self) -> Optional[str]:
"""Get the next available API key"""
async with self.lock:
if not self.api_keys:
return None
# Try to find a key that's not rate limited
for _ in range(len(self.api_keys)):
key = self.api_keys[self.current_key_index]
stats = self.key_stats[key]
# Check if this key is currently rate limited
if stats["last_rate_limit"]:
time_since_limit = datetime.now().timestamp() - stats["last_rate_limit"]
if time_since_limit < RATE_LIMIT_RETRY_DELAY:
# Still rate limited, try next key
self.current_key_index = (self.current_key_index + 1) % len(self.api_keys)
continue
else:
# Rate limit period has passed, reset
stats["last_rate_limit"] = None
# This key is available
stats["requests"] += 1
return key
# All keys are rate limited, return the one with oldest rate limit
oldest_key = min(
self.api_keys,
key=lambda k: self.key_stats[k]["last_rate_limit"] or 0
)
return oldest_key
async def mark_rate_limited(self, api_key: str):
"""Mark an API key as rate limited"""
async with self.lock:
if api_key in self.key_stats:
self.key_stats[api_key]["last_rate_limit"] = datetime.now().timestamp()
self.key_stats[api_key]["failures"] += 1
async def mark_success(self, api_key: str):
"""Mark an API key as successful (reset failure count)"""
async with self.lock:
if api_key in self.key_stats:
self.key_stats[api_key]["failures"] = max(0, self.key_stats[api_key]["failures"] - 1)
def get_stats(self) -> dict:
"""Get statistics for all API keys"""
return {
"total_keys": len(self.api_keys),
"key_stats": self.key_stats.copy()
}
# Initialize API key manager
api_key_manager = APIKeyManager(GEMINI_API_KEYS)
# Ensure output directory exists
os.makedirs(OUTPUT_DIR, exist_ok=True)
# Semaphore to limit concurrent requests
semaphore = asyncio.Semaphore(MAX_CONCURRENT_REQUESTS)
async def convert_and_adjust_audio(
audio_data: bytes,
output_format: str = "wav",
speed_factor: float = 1.0
) -> tuple[bytes, str]:
"""
Convert PCM audio data to specified format and adjust speed asynchronously
"""
def _convert():
# Create AudioSegment from raw PCM data
audio = AudioSegment(
data=audio_data,
sample_width=2, # 16-bit = 2 bytes
frame_rate=24000, # 24kHz
channels=1 # mono
)
# Adjust speed by changing frame rate
if speed_factor != 1.0:
new_frame_rate = int(audio.frame_rate * speed_factor)
audio_speed_adjusted = audio._spawn(
audio.raw_data,
overrides={"frame_rate": new_frame_rate}
)
audio_speed_adjusted = audio_speed_adjusted.set_frame_rate(audio.frame_rate)
else:
audio_speed_adjusted = audio
# Export to desired format
buffer = BytesIO()
if output_format.lower() == "mp3":
audio_speed_adjusted.export(buffer, format="mp3", bitrate="128k")
return buffer.getvalue(), "mp3"
else:
audio_speed_adjusted.export(buffer, format="wav")
return buffer.getvalue(), "wav"
# Run audio processing in thread pool to avoid blocking
loop = asyncio.get_event_loop()
return await loop.run_in_executor(None, _convert)
async def generate_tts_audio(
task_id: str,
text: str,
speakers: Optional[List[SpeakerConfig]] = None,
voice_name: str = "Zephyr",
output_format: str = "wav",
speed_factor: float = 1.0,
temperature: float = 1.0
):
"""
Generate TTS audio using Gemini API with multiple API key support and rate limit handling
"""
async with semaphore: # Limit concurrent requests
try:
# Update task status
tasks[task_id]["status"] = "processing"
tasks[task_id]["progress"] = "Preparing request"
# Prepare request data
if speakers:
# Multi-speaker configuration
speech_config = {
"multi_speaker_voice_config": {
"speaker_voice_configs": [
{
"speaker": speaker.speaker,
"voice_config": {
"prebuilt_voice_config": {
"voice_name": speaker.voice_config.voice_name
}
}
}
for speaker in speakers
]
}
}
else:
# Single voice configuration
speech_config = {
"voice_config": {
"prebuilt_voice_config": {
"voice_name": voice_name
}
}
}
request_data = {
"contents": [
{
"role": "user",
"parts": [{"text": text}]
}
],
"generationConfig": {
"responseModalities": ["audio"],
"temperature": temperature,
"speech_config": speech_config
}
}
# API endpoint
url = f"https://generativelanguage.googleapis.com/v1beta/models/{MODEL_ID}:{GENERATE_CONTENT_API}"
tasks[task_id]["progress"] = "Calling Gemini API"
# Try multiple API keys with rate limit handling
last_error = None
attempts = 0
max_total_attempts = len(GEMINI_API_KEYS) * MAX_RETRIES_PER_KEY if GEMINI_API_KEYS else 1
while attempts < max_total_attempts:
current_api_key = await api_key_manager.get_next_key()
if not current_api_key:
raise HTTPException(status_code=500, detail="No API keys available")
attempts += 1
tasks[task_id]["progress"] = f"Attempting API call (attempt {attempts}/{max_total_attempts})"
try:
# Make async API request
async with aiohttp.ClientSession() as session:
async with session.post(
url,
headers={"Content-Type": "application/json"},
params={"key": current_api_key},
json=request_data,
timeout=aiohttp.ClientTimeout(total=120) # 2 minute timeout
) as response:
# Handle different HTTP status codes
if response.status == 200:
# Success! Mark key as successful and proceed
await api_key_manager.mark_success(current_api_key)
response_data = await response.json()
break
elif response.status == 429: # Rate limit exceeded
error_text = await response.text()
await api_key_manager.mark_rate_limited(current_api_key)
last_error = f"Rate limit exceeded for API key: {error_text}"
print(f"Rate limit hit for key ending in ...{current_api_key[-4:]}, trying next key")
continue
elif response.status in [403, 401]: # Auth errors
error_text = await response.text()
await api_key_manager.mark_rate_limited(current_api_key) # Temporarily disable this key
last_error = f"Authentication error: {error_text}"
print(f"Auth error for key ending in ...{current_api_key[-4:]}: {error_text}")
continue
else: # Other HTTP errors
error_text = await response.text()
last_error = f"HTTP {response.status}: {error_text}"
# Don't mark as rate limited for other errors, but still try next key
continue
except asyncio.TimeoutError:
last_error = "Request timeout"
continue
except aiohttp.ClientError as e:
last_error = f"Client error: {str(e)}"
continue
except Exception as e:
last_error = f"Unexpected error: {str(e)}"
continue
else:
# All attempts failed
raise HTTPException(
status_code=500,
detail=f"All API keys exhausted. Last error: {last_error}"
)
tasks[task_id]["progress"] = "Processing audio data"
# Extract audio data
if response_data and len(response_data) > 0:
candidates = response_data[0].get("candidates", [])
if not candidates:
raise HTTPException(status_code=500, detail="No candidates in response")
parts = candidates[0].get("content", {}).get("parts", [])
audio_data_b64 = None
for part in parts:
if "inlineData" in part:
audio_data_b64 = part["inlineData"].get("data", "")
break
if not audio_data_b64:
raise HTTPException(status_code=500, detail="No audio data found in response")
# Decode base64 audio data
audio_data = base64.b64decode(audio_data_b64)
tasks[task_id]["progress"] = "Converting audio format"
# Convert and adjust audio
converted_audio, file_ext = await convert_and_adjust_audio(
audio_data, output_format, speed_factor
)
# Generate filename
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
filename = f"gemini_audio_{task_id}_{timestamp}.{file_ext}"
filepath = os.path.join(OUTPUT_DIR, filename)
# Save audio file
async with aiofiles.open(filepath, "wb") as f:
await f.write(converted_audio)
# Update task with results
tasks[task_id].update({
"status": "completed",
"progress": "Completed",
"result": {
"filename": filename,
"filepath": filepath,
"format": output_format.upper(),
"speed_factor": speed_factor,
"original_size": len(audio_data),
"converted_size": len(converted_audio),
"audio_url": f"/audio/{filename}"
}
})
except Exception as e:
tasks[task_id].update({
"status": "failed",
"error": str(e)
})
# API Endpoints
@app.get("/")
async def root():
"""Root endpoint with API information"""
return {
"message": "Gemini TTS API Server",
"version": "1.0.0",
"endpoints": {
"POST /tts": "Generate TTS audio",
"GET /status/{task_id}": "Get task status",
"GET /audio/{filename}": "Download audio file",
"GET /tasks": "List all tasks"
}
}
@app.post("/tts", response_model=TTSResponse)
async def create_tts_task(
request: TTSRequest,
background_tasks: BackgroundTasks
):
"""
Create a new TTS generation task
"""
if not GEMINI_API_KEYS:
raise HTTPException(status_code=500, detail="No GEMINI_API_KEYs configured. Please set GEMINI_API_KEY, GEMINI_API_KEYS, or GEMINI_API_KEY_1, GEMINI_API_KEY_2, etc.")
# Generate unique task ID
task_id = str(uuid.uuid4())
# Initialize task
tasks[task_id] = {
"task_id": task_id,
"status": "queued",
"created_at": datetime.now().isoformat(),
"request": request.dict()
}
# Start background task
background_tasks.add_task(
generate_tts_audio,
task_id,
request.text,
request.speakers,
request.voice_name,
request.output_format,
request.speed_factor,
request.temperature
)
return TTSResponse(
task_id=task_id,
status="queued",
message="TTS generation task created successfully"
)
@app.get("/status/{task_id}", response_model=TaskStatus)
async def get_task_status(task_id: str):
"""
Get the status of a TTS generation task
"""
if task_id not in tasks:
raise HTTPException(status_code=404, detail="Task not found")
task = tasks[task_id]
return TaskStatus(
task_id=task_id,
status=task["status"],
progress=task.get("progress"),
error=task.get("error"),
result=task.get("result")
)
@app.get("/audio/{filename}")
async def download_audio(filename: str):
"""
Download generated audio file
"""
filepath = os.path.join(OUTPUT_DIR, filename)
if not os.path.exists(filepath):
raise HTTPException(status_code=404, detail="Audio file not found")
return FileResponse(
filepath,
media_type="application/octet-stream",
filename=filename
)
@app.get("/tasks")
async def list_tasks():
"""
List all tasks with their current status
"""
return {"tasks": list(tasks.values())}
@app.delete("/tasks/{task_id}")
async def delete_task(task_id: str):
"""
Delete a task and its associated audio file
"""
if task_id not in tasks:
raise HTTPException(status_code=404, detail="Task not found")
task = tasks[task_id]
# Delete audio file if it exists
if task.get("result") and task["result"].get("filepath"):
filepath = task["result"]["filepath"]
if os.path.exists(filepath):
os.remove(filepath)
# Remove task from memory
del tasks[task_id]
return {"message": "Task deleted successfully"}
@app.get("/health")
async def health_check():
"""
Health check endpoint with API key status
"""
api_stats = api_key_manager.get_stats()
return {
"status": "healthy",
"timestamp": datetime.now().isoformat(),
"active_tasks": len([t for t in tasks.values() if t["status"] in ["queued", "processing"]]),
"total_tasks": len(tasks),
"api_keys": {
"total_configured": api_stats["total_keys"],
"available_keys": len([
key for key, stats in api_stats["key_stats"].items()
if not stats["last_rate_limit"] or
(datetime.now().timestamp() - stats["last_rate_limit"]) > RATE_LIMIT_RETRY_DELAY
]),
"rate_limited_keys": len([
key for key, stats in api_stats["key_stats"].items()
if stats["last_rate_limit"] and
(datetime.now().timestamp() - stats["last_rate_limit"]) <= RATE_LIMIT_RETRY_DELAY
])
}
}
@app.get("/api-keys/stats")
async def get_api_key_stats():
"""
Get detailed statistics for all API keys
"""
stats = api_key_manager.get_stats()
# Mask API keys for security (show only last 4 characters)
masked_stats = {}
for key, data in stats["key_stats"].items():
masked_key = f"***{key[-4:]}" if len(key) > 4 else "***"
masked_stats[masked_key] = {
**data,
"is_rate_limited": (
data["last_rate_limit"] and
(datetime.now().timestamp() - data["last_rate_limit"]) <= RATE_LIMIT_RETRY_DELAY
) if data["last_rate_limit"] else False,
"time_until_available": max(0, RATE_LIMIT_RETRY_DELAY - (
datetime.now().timestamp() - data["last_rate_limit"]
)) if data["last_rate_limit"] else 0
}
return {
"total_keys": stats["total_keys"],
"key_statistics": masked_stats,
"rate_limit_settings": {
"retry_delay_seconds": RATE_LIMIT_RETRY_DELAY,
"max_retries_per_key": MAX_RETRIES_PER_KEY
}
}
# Cleanup old files periodically (you might want to implement this with a proper scheduler)
async def cleanup_old_files():
"""
Clean up old audio files and completed tasks
"""
# This is a simple implementation - consider using APScheduler for production
pass
if __name__ == "__main__":
# Configuration for running the server
uvicorn.run(
"gemini_tts_api:app",
host="0.0.0.0",
port=8000,
reload=False, # Set to False in production
workers=4 # Use multiple workers in production with proper task storage
)