Delete whisper_processor (1).py

whisper_processor (1).py

@@ -1,71 +0,0 @@
-import subprocess
-import sys
-import os
-from pydub import AudioSegment
-import io
-import wave
-
-def process_audio(wav_file, model_name, lang):
-    """
-    Processes an audio file using a specified model and returns the processed string.
-    Resamples the file to 16 kHz in-memory if needed.
-
-    :param wav_file: Path to the WAV file
-    :param model_name: Name of the model to use
-    :return: Processed string output from the audio processing
-    :raises: Exception if an error occurs during processing
-    """
-    model = f"models/ggml-{model_name}.bin"
-
-    # Check if the model file exists
-    if not os.path.exists(model):
-        raise FileNotFoundError(f"Model file not found: {model} \n\nDownload a model with this command:\n\n> bash ./models/download-ggml-model.sh {model_name}\n\n")
-
-    if not os.path.exists(wav_file):
-        raise FileNotFoundError(f"WAV file not found: {wav_file}")
-
-    # Load and resample the audio to 16 kHz if necessary
-    audio = AudioSegment.from_wav(wav_file)
-    if audio.frame_rate != 16000:
-        print(f"Resampling {wav_file} to 16 kHz...")
-        audio = audio.set_frame_rate(16000)
-
-    # Export the audio to an in-memory bytes buffer
-    audio_buffer = io.BytesIO()
-    audio.export(audio_buffer, format="wav")
-    audio_buffer.seek(0)
-
-    # Prepare the audio for the subprocess by writing it to a temporary file
-    with wave.open(audio_buffer, 'rb') as wf:
-        # Prepare a temporary file in-memory for subprocess
-        temp_file = io.BytesIO()
-        with wave.open(temp_file, 'wb') as temp_wav:
-            temp_wav.setnchannels(wf.getnchannels())
-            temp_wav.setsampwidth(wf.getsampwidth())
-            temp_wav.setframerate(16000)
-            temp_wav.writeframes(wf.readframes(wf.getnframes()))
-        temp_file.seek(0)
-
-        # Write temp_file to disk if needed, or pass to subprocess directly if possible.
-        # Here we assume it's passed to subprocess via its filename as before
-        temp_wav_path = '/tmp/temp_audio.wav'
-        with open(temp_wav_path, 'wb') as f:
-            f.write(temp_file.read())
-
-    # Run the processing using the temporary WAV file
-    full_command = f"./main -m {model} -f {temp_wav_path}  -l {lang} -np -nt"
-
-    # Execute the command
-    process = subprocess.Popen(full_command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
-
-    # Get the output and error (if any)
-    output, error = process.communicate()
-
-    if error:
-        raise Exception(f"Error processing audio: {error.decode('utf-8')}")
-
-    # Process and return the output string
-    decoded_str = output.decode('utf-8').strip()
-    processed_str = decoded_str.replace('[BLANK_AUDIO]', '').strip()
-
-    return processed_str