195 lines
6.3 KiB
Python
195 lines
6.3 KiB
Python
import logging
|
||
import os
|
||
import subprocess
|
||
import time
|
||
from typing import Dict
|
||
from typing import Optional, Union, List, Tuple
|
||
|
||
import whisper
|
||
from fastapi import FastAPI, Depends, HTTPException, UploadFile, File
|
||
from fastapi.security import APIKeyHeader
|
||
|
||
# Configure logging
|
||
logging.basicConfig(
|
||
level=logging.INFO,
|
||
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
|
||
)
|
||
logger = logging.getLogger(__name__)
|
||
|
||
app = FastAPI()
|
||
|
||
|
||
# API key header
|
||
api_key_header = APIKeyHeader(name="x-api-key")
|
||
|
||
|
||
def get_keys(): # не бейте меня за это
|
||
keys_file = "keys.txt"
|
||
if not os.path.exists(keys_file):
|
||
# Create a new keys file with a default key
|
||
default_key = os.urandom(32).hex()
|
||
with open(keys_file, "w") as f:
|
||
f.write(default_key + "\n")
|
||
logger.info(f"Created new keys file with default key: {default_key}")
|
||
return [default_key]
|
||
else:
|
||
# Read keys from the existing file
|
||
with open(keys_file, "r") as f:
|
||
keys = [line.strip() for line in f if line.strip()]
|
||
logger.info(f"Loaded {len(keys)} keys from file")
|
||
logger.debug(f"Keys: {keys}")
|
||
if not keys:
|
||
raise ValueError("No keys found in keys.txt")
|
||
return keys
|
||
|
||
|
||
def convert_audio(input_path: str, output_path: str, speed: float = 1.25):
|
||
"""
|
||
Convert audio to compatible format and speed up
|
||
"""
|
||
try:
|
||
command = [
|
||
'ffmpeg', '-i', input_path,
|
||
'-filter:a', f'atempo={speed}',
|
||
'-ar', '16000',
|
||
'-ac', '1',
|
||
'-c:a', 'pcm_s16le',
|
||
output_path,
|
||
'-y'
|
||
]
|
||
logger.debug(f"Running FFmpeg command: {' '.join(command)}")
|
||
subprocess.run(command, check=True, capture_output=True)
|
||
return True
|
||
except subprocess.CalledProcessError as e:
|
||
logger.error(f"FFmpeg conversion failed: {e.stderr.decode()}")
|
||
return False
|
||
|
||
|
||
class TranscriptionMetrics:
|
||
def __init__(self):
|
||
self.start_time = time.time()
|
||
self.end_time = None
|
||
self.text_length = 0
|
||
self.audio_duration = 0
|
||
|
||
def stop(self, text: str, audio_duration: float):
|
||
self.end_time = time.time()
|
||
self.text_length = len(text)
|
||
self.audio_duration = audio_duration
|
||
|
||
def get_metrics(self) -> Dict[str, float]:
|
||
processing_time = self.end_time - self.start_time
|
||
return {
|
||
"processing_time_seconds": round(processing_time, 2),
|
||
"characters_per_second": round(self.text_length / processing_time, 2),
|
||
"audio_realtime_ratio": round(self.audio_duration / processing_time, 2),
|
||
"audio_duration": round(self.audio_duration, 2),
|
||
"text_length": self.text_length
|
||
}
|
||
|
||
|
||
def get_audio_duration(file_path: str) -> float:
|
||
"""Get audio duration using ffprobe"""
|
||
cmd = [
|
||
'ffprobe',
|
||
'-v', 'quiet',
|
||
'-show_entries', 'format=duration',
|
||
'-of', 'default=noprint_wrappers=1:nokey=1',
|
||
file_path
|
||
]
|
||
try:
|
||
output = subprocess.check_output(cmd).decode().strip()
|
||
return float(output)
|
||
except:
|
||
return 0.0
|
||
|
||
|
||
@app.post("/transcribe")
|
||
async def transcribe_audio(
|
||
file: UploadFile = File(...),
|
||
token: str = Depends(api_key_header),
|
||
model_name: str = "turbo",
|
||
verbose: Optional[bool] = None,
|
||
temperature: Union[float, Tuple[float, ...]] = (0.0, 0.2, 0.4, 0.6, 0.8, 1.0),
|
||
compression_ratio_threshold: Optional[float] = 2.4,
|
||
logprob_threshold: Optional[float] = -1.0,
|
||
no_speech_threshold: Optional[float] = 0.6,
|
||
condition_on_previous_text: bool = True,
|
||
initial_prompt: Optional[str] = None,
|
||
word_timestamps: bool = False,
|
||
prepend_punctuations: str = "\"'\"¿([{-",
|
||
append_punctuations: str = "\"\'.。,，!！?？:：\")]}、",
|
||
clip_timestamps: Union[str, List[float]] = "0",
|
||
hallucination_silence_threshold: Optional[float] = None
|
||
):
|
||
# Token validation
|
||
if token not in get_keys():
|
||
logger.warning(f"Invalid token attempt: {token}")
|
||
raise HTTPException(status_code=403, detail="Forbidden")
|
||
|
||
logger.info(f"Processing file: {file.filename} with model: {model_name}")
|
||
metrics = TranscriptionMetrics()
|
||
|
||
# Save uploaded file
|
||
temp_input_path = f"/tmp/input_{file.filename}"
|
||
temp_output_path = f"/tmp/converted_{file.filename}.wav"
|
||
|
||
try:
|
||
with open(temp_input_path, "wb") as f:
|
||
f.write(await file.read())
|
||
|
||
# Convert audio if needed
|
||
logger.debug("Converting audio file")
|
||
if not convert_audio(temp_input_path, temp_output_path):
|
||
raise HTTPException(status_code=400, detail="Audio conversion failed")
|
||
|
||
# Get audio duration before speed up
|
||
original_duration = get_audio_duration(temp_input_path)
|
||
|
||
# Transcribe
|
||
logger.info("Starting transcription")
|
||
result = model.transcribe(
|
||
temp_output_path,
|
||
verbose=verbose,
|
||
temperature=temperature,
|
||
compression_ratio_threshold=compression_ratio_threshold,
|
||
logprob_threshold=logprob_threshold,
|
||
no_speech_threshold=no_speech_threshold,
|
||
condition_on_previous_text=condition_on_previous_text,
|
||
initial_prompt=initial_prompt,
|
||
word_timestamps=word_timestamps,
|
||
prepend_punctuations=prepend_punctuations,
|
||
append_punctuations=append_punctuations,
|
||
clip_timestamps=clip_timestamps,
|
||
hallucination_silence_threshold=hallucination_silence_threshold
|
||
)
|
||
|
||
# Calculate metrics
|
||
metrics.stop(result["text"], original_duration)
|
||
logger.info(f"Transcription metrics: {metrics.get_metrics()}")
|
||
|
||
# Add metrics to result
|
||
result["metrics"] = metrics.get_metrics()
|
||
|
||
return result
|
||
|
||
except Exception as e:
|
||
logger.error(f"Transcription failed: {str(e)}")
|
||
raise HTTPException(status_code=500, detail=str(e))
|
||
|
||
finally:
|
||
# Cleanup temporary files
|
||
if os.path.exists(temp_input_path):
|
||
os.remove(temp_input_path)
|
||
if os.path.exists(temp_output_path):
|
||
os.remove(temp_output_path)
|
||
|
||
|
||
def main():
|
||
import uvicorn
|
||
get_keys()
|
||
uvicorn.run(app, host="0.0.0.0", port=9854, log_level="debug")
|
||
|
||
if __name__ == "__main__":
|
||
main()
|