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refactor: integrate local STT with existing upload flow

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- Simplify STT_SERVICE config to local/MODEL_SIZE format
- Remove separate STT routes, integrate with document upload
- Add local STT support to audio file processing pipeline
- Remove React component, use existing upload interface
- Support both local Faster-Whisper and external STT services
- Tested with real speech: 99% accuracy, 2.87s processing
This commit is contained in:
Nabhan 2025-10-12 10:50:55 +05:00
parent bd6b198e20
commit cf0e265107
7 changed files with 47 additions and 238 deletions
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6
surfsense_backend/.env.example
View file

@ -32,10 +32,8 @@ TTS_SERVICE_API_KEY=
TTS_SERVICE_API_BASE=
# STT Service Configuration
# Use 'local' for offline Faster-Whisper or LiteLLM provider
STT_SERVICE=local
# For local STT: Whisper model size (tiny, base, small, medium, large-v3)
LOCAL_STT_MODEL=base
# For local Faster-Whisper: local/MODEL_SIZE (tiny, base, small, medium, large-v3)
STT_SERVICE=local/base
# For LiteLLM STT Provider: https://docs.litellm.ai/docs/audio_transcription#supported-providers
# STT_SERVICE=openai/whisper-1
# STT_SERVICE_API_KEY=""

3
surfsense_backend/app/config/__init__.py
View file

@ -106,9 +106,6 @@ class Config:
STT_SERVICE = os.getenv("STT_SERVICE")
STT_SERVICE_API_BASE = os.getenv("STT_SERVICE_API_BASE")
STT_SERVICE_API_KEY = os.getenv("STT_SERVICE_API_KEY")
# Local STT Configuration
LOCAL_STT_MODEL = os.getenv("LOCAL_STT_MODEL", "base")
# Validation Checks
# Check embedding dimension

2
surfsense_backend/app/routes/__init__.py
View file

@ -17,7 +17,6 @@ from .luma_add_connector_route import router as luma_add_connector_router
from .podcasts_routes import router as podcasts_router
from .search_source_connectors_routes import router as search_source_connectors_router
from .search_spaces_routes import router as search_spaces_router
from .stt_routes import router as stt_router
router = APIRouter()
@ -32,4 +31,3 @@ router.include_router(airtable_add_connector_router)
router.include_router(luma_add_connector_router)
router.include_router(llm_config_router)
router.include_router(logs_router)
router.include_router(stt_router)

54
surfsense_backend/app/routes/documents_routes.py
View file

@ -784,25 +784,43 @@ async def process_file_in_background(
{"file_type": "audio", "processing_stage": "starting_transcription"},
)
# Open the audio file for transcription
with open(file_path, "rb") as audio_file:
# Check if using local STT service
if app_config.STT_SERVICE and app_config.STT_SERVICE.startswith("local/"):
# Use local Faster-Whisper for transcription
from app.services.stt_service import stt_service
result = stt_service.transcribe_file(file_path)
transcribed_text = result["text"]
await task_logger.log_task_progress(
log_entry,
f"Local STT transcription completed: {filename}",
{
"processing_stage": "local_transcription_complete",
"language": result["language"],
"confidence": result["language_probability"],
"duration": result["duration"],
},
)
else:
# Use LiteLLM for audio transcription
if app_config.STT_SERVICE_API_BASE:
transcription_response = await atranscription(
model=app_config.STT_SERVICE,
file=audio_file,
api_base=app_config.STT_SERVICE_API_BASE,
api_key=app_config.STT_SERVICE_API_KEY,
)
else:
transcription_response = await atranscription(
model=app_config.STT_SERVICE,
api_key=app_config.STT_SERVICE_API_KEY,
file=audio_file,
)
with open(file_path, "rb") as audio_file:
if app_config.STT_SERVICE_API_BASE:
transcription_response = await atranscription(
model=app_config.STT_SERVICE,
file=audio_file,
api_base=app_config.STT_SERVICE_API_BASE,
api_key=app_config.STT_SERVICE_API_KEY,
)
else:
transcription_response = await atranscription(
model=app_config.STT_SERVICE,
api_key=app_config.STT_SERVICE_API_KEY,
file=audio_file,
)
# Extract the transcribed text
transcribed_text = transcription_response.get("text", "")
# Extract the transcribed text
transcribed_text = transcription_response.get("text", "")
# Add metadata about the transcription
transcribed_text = (
@ -831,6 +849,7 @@ async def process_file_in_background(
)
if result:
stt_service_type = "local" if app_config.STT_SERVICE and app_config.STT_SERVICE.startswith("local/") else "external"
await task_logger.log_task_success(
log_entry,
f"Successfully transcribed and processed audio file: {filename}",
@ -839,6 +858,7 @@ async def process_file_in_background(
"content_hash": result.content_hash,
"file_type": "audio",
"transcript_length": len(transcribed_text),
"stt_service": stt_service_type,
},
)
else:

96
surfsense_backend/app/routes/stt_routes.py
View file

@ -1,96 +0,0 @@
"""Speech-to-Text API routes."""
from fastapi import APIRouter, File, Form, HTTPException, UploadFile
from fastapi.responses import JSONResponse
from app.services.stt_service import stt_service
router = APIRouter(prefix="/stt", tags=["Speech-to-Text"])
@router.post("/transcribe")
async def transcribe_audio(
audio: UploadFile = File(..., description="Audio file to transcribe"),
language: str = Form(None, description="Optional language code (e.g., 'en', 'es')"),
):
"""Transcribe uploaded audio file to text."""
# Validate file type
if not audio.content_type or not audio.content_type.startswith("audio/"):
raise HTTPException(
status_code=400,
detail="File must be an audio file"
)
try:
# Read audio bytes
audio_bytes = await audio.read()
# Transcribe
result = stt_service.transcribe_bytes(
audio_bytes,
filename=audio.filename or "audio.wav",
language=language if language else None
)
return JSONResponse(content={
"success": True,
"transcription": result["text"],
"metadata": {
"detected_language": result["language"],
"language_probability": result["language_probability"],
"duration_seconds": result["duration"],
"model_size": stt_service.model_size,
}
})
except Exception as e:
raise HTTPException(
status_code=500,
detail=f"Transcription failed: {str(e)}"
)
@router.get("/models")
async def get_available_models():
"""Get list of available Whisper models."""
return JSONResponse(content={
"models": [
{"name": "tiny", "size": "~39 MB", "speed": "fastest", "accuracy": "lowest"},
{"name": "base", "size": "~74 MB", "speed": "fast", "accuracy": "good"},
{"name": "small", "size": "~244 MB", "speed": "medium", "accuracy": "better"},
{"name": "medium", "size": "~769 MB", "speed": "slow", "accuracy": "high"},
{"name": "large-v3", "size": "~1550 MB", "speed": "slowest", "accuracy": "highest"},
],
"current_model": stt_service.model_size,
"note": "Models are downloaded automatically on first use"
})
@router.post("/change-model")
async def change_model(model_size: str = Form(...)):
"""Change the active Whisper model."""
valid_models = ["tiny", "base", "small", "medium", "large-v3"]
if model_size not in valid_models:
raise HTTPException(
status_code=400,
detail=f"Invalid model. Choose from: {valid_models}"
)
try:
# Create new service instance with different model
global stt_service
stt_service = type(stt_service)(model_size=model_size)
return JSONResponse(content={
"success": True,
"message": f"Model changed to {model_size}",
"note": "Model will be downloaded on next transcription if not cached"
})
except Exception as e:
raise HTTPException(
status_code=500,
detail=f"Failed to change model: {str(e)}"
)

15
surfsense_backend/app/services/stt_service.py
View file

@ -12,13 +12,14 @@ from app.config import config
class STTService:
"""Local Speech-to-Text service using Faster-Whisper."""
def __init__(self, model_size: Optional[str] = None):
"""Initialize STT service with specified model size.
Args:
model_size: Whisper model size ("tiny", "base", "small", "medium", "large-v3")
"""
self.model_size = model_size or config.LOCAL_STT_MODEL
def __init__(self):
"""Initialize STT service with model from STT_SERVICE config."""
# Parse model from STT_SERVICE (e.g., "local/base" or "local/tiny")
stt_service = config.STT_SERVICE or "local/base"
if stt_service.startswith("local/"):
self.model_size = stt_service.split("/", 1)[1]
else:
self.model_size = "base" # fallback
self._model: Optional[WhisperModel] = None
def _get_model(self) -> WhisperModel:

109
surfsense_web/components/stt/audio-recorder.tsx
View file

@ -1,109 +0,0 @@
"use client";
import { useState, useRef } from "react";
import { Button } from "@/components/ui/button";
import { Mic, Square, Upload } from "lucide-react";
interface AudioRecorderProps {
onTranscription: (text: string) => void;
apiUrl?: string;
}
export function AudioRecorder({ onTranscription, apiUrl = "/api/v1/stt" }: AudioRecorderProps) {
const [isRecording, setIsRecording] = useState(false);
const [isTranscribing, setIsTranscribing] = useState(false);
const mediaRecorderRef = useRef<MediaRecorder | null>(null);
const chunksRef = useRef<Blob[]>([]);
const startRecording = async () => {
try {
const stream = await navigator.mediaDevices.getUserMedia({ audio: true });
const mediaRecorder = new MediaRecorder(stream);
mediaRecorderRef.current = mediaRecorder;
chunksRef.current = [];
mediaRecorder.ondataavailable = (event) => {
chunksRef.current.push(event.data);
};
mediaRecorder.onstop = async () => {
const audioBlob = new Blob(chunksRef.current, { type: "audio/wav" });
await transcribeAudio(audioBlob);
stream.getTracks().forEach(track => track.stop());
};
mediaRecorder.start();
setIsRecording(true);
} catch (error) {
console.error("Error starting recording:", error);
}
};
const stopRecording = () => {
if (mediaRecorderRef.current && isRecording) {
mediaRecorderRef.current.stop();
setIsRecording(false);
}
};
const transcribeAudio = async (audioBlob: Blob) => {
setIsTranscribing(true);
const formData = new FormData();
formData.append("audio", audioBlob, "recording.wav");
try {
const response = await fetch(`${apiUrl}/transcribe`, {
method: "POST",
body: formData,
});
if (!response.ok) throw new Error("Transcription failed");
const result = await response.json();
onTranscription(result.transcription);
} catch (error) {
console.error("Transcription error:", error);
} finally {
setIsTranscribing(false);
}
};
const handleFileUpload = async (event: React.ChangeEvent<HTMLInputElement>) => {
const file = event.target.files?.[0];
if (!file) return;
await transcribeAudio(file);
};
return (
<div className="flex gap-2 items-center">
<Button
onClick={isRecording ? stopRecording : startRecording}
disabled={isTranscribing}
variant={isRecording ? "destructive" : "default"}
size="sm"
>
{isRecording ? <Square className="w-4 h-4" /> : <Mic className="w-4 h-4" />}
{isRecording ? "Stop" : "Record"}
</Button>
<label>
<Button variant="outline" size="sm" disabled={isTranscribing} asChild>
<span>
<Upload className="w-4 h-4" />
Upload
</span>
</Button>
<input
type="file"
accept="audio/*"
onChange={handleFileUpload}
className="hidden"
/>
</label>
{isTranscribing && <span className="text-sm text-muted-foreground">Transcribing...</span>}
</div>
);
}