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import ffmpeg | |
import numpy as np | |
import os | |
import shutil | |
def load_audio(file, sr): | |
try: | |
# https://github.com/openai/whisper/blob/main/whisper/audio.py#L26 | |
# This launches a subprocess to decode audio while down-mixing and resampling as necessary. | |
# Requires the ffmpeg CLI and `ffmpeg-python` package to be installed. | |
file = ( | |
file.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |
) # 防止小白拷路径头尾带了空格和"和回车 | |
out, _ = ( | |
ffmpeg.input(file, threads=0) | |
.output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr) | |
.run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True) | |
) | |
except Exception as e: | |
raise RuntimeError(f"Failed to load audio: {e}") | |
return np.frombuffer(out, np.float32).flatten() | |
def remove_files_and_folders(folder_path= "/tmp/gradio/"): | |
print("Cleaning gradio cache ...") | |
try: | |
shutil.rmtree(folder_path) | |
print(f"All files and folders inside {folder_path} have been removed.") | |
except Exception as e: | |
print(f"An error occurred: {e}") | |
def show_stored_files(root_dir): | |
for entry in os.listdir(root_dir): | |
full_path = os.path.join(root_dir, entry) | |
if os.path.isdir(full_path): | |
print(f"Directory: {full_path}") | |
elif os.path.isfile(full_path): | |
print(f"File: {full_path}") |