Smart STT Pipeline v3: T-one + GigaAM auto-routing + Qwen3.5 punctuation
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FROM python:3.12-slim
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RUN apt-get update && apt-get install -y --no-install-recommends ffmpeg && rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY app.py .
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EXPOSE 8005
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8005"]
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#!/usr/bin/env python3
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"""
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Smart STT Pipeline v3
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T-one (fast) + GigaAM (accurate) + Qwen3.5-4B (punctuation)
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Auto-selects best STT based on confidence/silence detection.
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"""
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import os
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import tempfile
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import time
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import subprocess
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import re
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import json
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from fastapi import FastAPI, File, UploadFile, HTTPException
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from pydantic import BaseModel
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import requests
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# === Configuration ===
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TONE_URL = "http://localhost:8003/transcribe"
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GIGAAM_URL = "http://localhost:8001/transcribe"
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QWEN_URL = "http://178.17.143.46:8080/v1/chat/completions"
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QWEN_URL_FALLBACK = "http://192.168.10.101:8888/v1/chat/completions"
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QWEN_API_KEY = "f9LHodD0cOIaku1zu7i7vh9KZsb5EelGK4K85k1tJWgzablcQrFw-QNIJaEHHwMb3LZ5k1nd-CKYiYY0F5Yw"
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QWEN_MODEL = "Qwen3.5-4B-Q5_K_M.gguf"
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QWEN_MODEL_FALLBACK = "Qwen3.5-4B-MTP-GGUF"
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MIN_TEXT_LENGTH = 5 # Minimum chars to consider T-one result valid
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SHORT_AUDIO_THRESHOLD = 10 # Seconds: if audio < this, always use GigaAM
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app = FastAPI(title="Smart STT Pipeline v3", version="3.0.0")
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class STTResponse(BaseModel):
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original: str
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punctuated: str
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duration_sec: float
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stt_time_sec: float
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punct_time_sec: float
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server_used: str
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stt_engine: str # "t-one", "gigaam", or "both"
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def convert_to_wav(audio_bytes: bytes) -> str:
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"""Convert any audio to 16kHz mono WAV"""
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with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
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tmp_path = tmp.name
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cmd = [
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"ffmpeg", "-i", "pipe:0",
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"-ar", "16000", "-ac", "1", "-c:a", "pcm_s16le",
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"-y", tmp_path
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]
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subprocess.run(cmd, input=audio_bytes, capture_output=True)
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return tmp_path
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def transcribe_tone(wav_path: str) -> dict:
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"""Transcribe using T-one, returns dict with text and validity"""
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with open(wav_path, "rb") as f:
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files = {"file": ("audio.wav", f, "audio/wav")}
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resp = requests.post(TONE_URL, files=files, timeout=30)
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data = resp.json()
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if "detail" in data:
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return {"text": "", "valid": False, "error": data["detail"]}
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text = data.get("text", "[]")
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phrases = re.findall(r"TextPhrase\(text='([^']*)'", text)
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result_text = " ".join(phrases)
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# Check if result is meaningful
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valid = len(result_text.strip()) >= MIN_TEXT_LENGTH
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return {
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"text": result_text,
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"valid": valid,
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"stt_time": data.get("stt_time_sec", 0)
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}
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def transcribe_gigaam(ogg_path: str) -> dict:
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"""Transcribe using GigaAM, returns dict with full response"""
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with open(ogg_path, "rb") as f:
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files = {"file": ("audio.ogg", f, "audio/ogg")}
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resp = requests.post(GIGAAM_URL, files=files, timeout=60)
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return resp.json()
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def add_punctuation(text: str, server_url: str, api_key: str, model: str) -> str:
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"""Add punctuation using Qwen3.5-4B"""
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payload = {
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"model": model,
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"messages": [
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{
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"role": "system",
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"content": "You are a punctuation assistant. Add punctuation to Russian text. Only output the punctuated text, no explanations."
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},
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{"role": "user", "content": text}
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],
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"max_tokens": 500,
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"temperature": 0.1
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}
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {api_key}"
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}
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resp = requests.post(server_url, json=payload, headers=headers, timeout=60)
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resp.raise_for_status()
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return resp.json()["choices"][0]["message"]["content"]
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@app.post("/transcribe")
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async def transcribe(file: UploadFile = File(...)):
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"""Smart transcription: T-one first, fallback to GigaAM if needed"""
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audio_bytes = await file.read()
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# Get audio duration from file
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ogg_path = tempfile.mktemp(suffix=".ogg")
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with open(ogg_path, "wb") as f:
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f.write(audio_bytes)
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cmd = ["ffprobe", "-v", "error", "-show_entries", "format=duration", "-of", "default=noprint_wrappers=1:nokey=1", ogg_path]
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proc = subprocess.run(cmd, capture_output=True, text=True)
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duration = float(proc.stdout.strip())
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# Convert to WAV for T-one
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wav_path = convert_to_wav(audio_bytes)
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try:
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# Step 1: Choose STT engine based on duration
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if duration < SHORT_AUDIO_THRESHOLD:
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# Short audio: use GigaAM (more accurate)
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giga_result = transcribe_gigaam(ogg_path)
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text = giga_result.get("original", "")
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stt_engine = "gigaam"
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stt_time = giga_result.get("stt_time_sec", 0)
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else:
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# Long audio: try T-one first (fast)
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stt_start = time.time()
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tone_result = transcribe_tone(wav_path)
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stt_time = time.time() - stt_start
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if tone_result["valid"]:
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text = tone_result["text"]
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stt_engine = "t-one"
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else:
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# T-one failed, fallback to GigaAM
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giga_result = transcribe_gigaam(ogg_path)
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text = giga_result.get("original", "")
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stt_engine = "gigaam"
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stt_time = giga_result.get("stt_time_sec", 0)
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# Step 2: Punctuation
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punct_start = time.time()
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server_used = "178.17.143.46:8080"
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try:
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punctuated = add_punctuation(text, QWEN_URL, QWEN_API_KEY, QWEN_MODEL)
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except Exception:
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server_used = "192.168.10.101:8888"
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punctuated = add_punctuation(text, QWEN_URL_FALLBACK, QWEN_API_KEY, QWEN_MODEL_FALLBACK)
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punct_time = time.time() - punct_start
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return {
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"original": text,
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"punctuated": punctuated,
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"duration_sec": round(duration, 1),
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"stt_time_sec": round(stt_time, 2),
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"punct_time_sec": round(punct_time, 2),
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"server_used": server_used,
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"stt_engine": stt_engine
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}
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finally:
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os.unlink(wav_path)
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@app.get("/health")
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async def health():
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return {"status": "ok", "service": "stt-pipeline-v3"}
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@@ -0,0 +1,4 @@
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fastapi==0.115.0
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uvicorn==0.32.0
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python-multipart==0.0.12
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requests==2.34.2
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