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setup.py
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import sys
import subprocess
import time
def has_nvidia_gpu():
"""
Check if an NVIDIA GPU is present by attempting to run 'nvidia-smi'.
Returns True if detected, otherwise False.
"""
try:
result = subprocess.run(["nvidia-smi"], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
return result.returncode == 0
except FileNotFoundError:
return False
def get_python_version_key():
"""
Returns a key for the current Python version in the form 'cp<major><minor>'.
For example, Python 3.11 returns 'cp311' and Python 3.12 returns 'cp312'.
"""
return f"cp{sys.version_info.major}{sys.version_info.minor}"
# 1. Dependencies that are installed regardless of hardware or Python version.
common_libraries = [
"certifi==2025.1.31",
"charset-normalizer==3.4.1",
"colorama==0.4.6",
"ctranslate2==4.5.0",
"filelock==3.17.0",
"fsspec==2024.9.0",
"huggingface-hub==0.29.3",
"idna==3.10",
"Jinja2==3.1.6",
"llvmlite==0.44.0",
"markdown-it-py==3.0.0",
"MarkupSafe==3.0.2",
"mdurl==0.1.2",
"more-itertools==10.6.0",
"mpmath==1.3.0",
"networkx==3.4.2",
"numba==0.61.0",
"numpy==1.26.4",
"openai-whisper==20240930",
"packaging==24.2",
"platformdirs==4.3.6",
"psutil==7.0.0",
"Pygments==2.19.1",
"PyYAML==6.0.2",
"regex==2024.11.6",
"requests==2.32.3",
"rich==13.9.4",
"safetensors==0.5.3",
"sympy==1.13.1",
"tiktoken==0.9.0",
"tokenizers==0.21.0",
"tqdm==4.67.1",
"typing_extensions==4.12.2",
"urllib3==2.3.0",
'git+https://github.com/shashikg/WhisperS2T.git@e7f7e6dbfdc7f3a39454feb9dd262fd3653add8c'
]
# 2. GPU-only dependencies that vary by Python version.
gpu_libs = {
"cp311": [
"nvidia-cublas-cu12==12.4.5.8",
"nvidia-cuda-runtime-cu12==12.4.127",
"nvidia-cudnn-cu12==9.1.0.70",
"nvidia-ml-py==12.570.86"
],
"cp312": [
# Update these placeholders with the correct versions for Python 3.12
"nvidia-cublas-cu12==12.4.5.8",
"nvidia-cuda-runtime-cu12==12.4.127",
"nvidia-cudnn-cu12==9.1.0.70",
"nvidia-ml-py==12.570.86"
]
}
# 3. CPU-only dependencies that vary by Python version.
# (Currently, there are no additional CPU-only dependencies beyond common libraries.
# Place any CPU-only libraries here if needed.)
cpu_libs = {
"cp311": [],
"cp312": []
}
# 4. PyTorch wheel URLs differ for GPU and CPU installations and may vary by Python version.
torch_libs = {
"cp311": {
"GPU": "https://download.pytorch.org/whl/cu124/torch-2.6.0%2Bcu124-cp311-cp311-win_amd64.whl#sha256=6a1fb2714e9323f11edb6e8abf7aad5f79e45ad25c081cde87681a18d99c29eb",
"CPU": "https://download.pytorch.org/whl/cpu/torch-2.6.0%2Bcpu-cp311-cp311-win_amd64.whl#sha256=24c9d3d13b9ea769dd7bd5c11cfa1fc463fd7391397156565484565ca685d908"
},
"cp312": {
"GPU": "https://download.pytorch.org/whl/cu124/torch-2.6.0%2Bcu124-cp312-cp312-win_amd64.whl#sha256=3313061c1fec4c7310cf47944e84513dcd27b6173b72a349bb7ca68d0ee6e9c0",
"CPU": "https://download.pytorch.org/whl/cpu/torch-2.6.0%2Bcpu-cp312-cp312-win_amd64.whl#sha256=4027d982eb2781c93825ab9527f17fbbb12dbabf422298e4b954be60016f87d8"
}
}
def install_libraries_with_retry(libraries, max_retries=3, delay=3):
"""
Install each library using pip with retry logic.
Returns a tuple: (failed_installations, multiple_attempts).
"""
failed_installations = []
multiple_attempts = []
for library in libraries:
for attempt in range(max_retries):
try:
print(f"\nAttempt {attempt + 1} of {max_retries}: Installing {library}")
command = [sys.executable, "-m", "uv", "pip", "install", library, "--no-deps"]
subprocess.run(command, check=True, capture_output=True, text=True)
print(f"Successfully installed {library}")
if attempt > 0:
multiple_attempts.append((library, attempt + 1))
break
except subprocess.CalledProcessError as e:
print(f"Attempt {attempt + 1} failed for {library}. Error: {e.stderr.strip()}")
if attempt < max_retries - 1:
print(f"Retrying in {delay} seconds...")
time.sleep(delay)
else:
print(f"Failed to install {library} after {max_retries} attempts.")
failed_installations.append(library)
print("\n--- Installation Summary ---")
if failed_installations:
print("\nThe following libraries failed to install:")
for lib in failed_installations:
print(f"- {lib}")
if multiple_attempts:
print("\nThe following libraries required multiple attempts to install:")
for lib, attempts in multiple_attempts:
print(f"- {lib} (took {attempts} attempts)")
if not failed_installations and not multiple_attempts:
print("\nAll libraries installed successfully on the first attempt.")
elif not failed_installations:
print("\nAll libraries were eventually installed successfully.")
return failed_installations, multiple_attempts
def main():
start_time = time.time()
python_key = get_python_version_key()
if python_key not in torch_libs:
print(f"Unsupported Python version: {python_key}. This installer supports Python 3.11 and 3.12.")
sys.exit(1)
hardware = "GPU" if has_nvidia_gpu() else "CPU"
print(f"Detected Python version: {python_key}, Hardware: {hardware}")
# Build final dependency list:
# Start with common libraries.
libraries = list(common_libraries)
# Append additional libraries based on hardware.
if hardware == "GPU":
libraries += gpu_libs.get(python_key, [])
torch_wheel = torch_libs[python_key]["GPU"]
else:
libraries += cpu_libs.get(python_key, [])
torch_wheel = torch_libs[python_key]["CPU"]
# Append the appropriate PyTorch wheel.
libraries.append(torch_wheel)
# Install uv package.
print("\033[92mInstalling uv:\033[0m")
subprocess.run([sys.executable, "-m", "pip", "install", "uv"], check=True)
# Install PySide6.
print("\033[92mInstalling PySide6:\033[0m")
subprocess.run([sys.executable, "-m", "uv", "pip", "install", "pyside6", "--link-mode=copy"], check=True)
# Upgrade pip, setuptools, and wheel using uv.
print("\033[92mUpgrading pip, setuptools, and wheel:\033[0m")
upgrade_command = f"{sys.executable} -m uv pip install --upgrade pip setuptools wheel"
subprocess.run(upgrade_command, shell=True, check=True)
# Install selected dependencies with retry logic.
print("\033[92mInstalling dependencies:\033[0m")
failed, multiple = install_libraries_with_retry(libraries)
if not failed:
print("\033[92mInstallation was successful! The program is ready to use.\033[0m")
print("To run it, enter the command: python whispers2t_batch_gui.py")
else:
print("\033[91mInstallation encountered some issues. Please review the installation summary above.\033[0m")
end_time = time.time()
total_time = end_time - start_time
hours, rem = divmod(total_time, 3600)
minutes, seconds = divmod(rem, 60)
print(f"\033[92m\nTotal installation time: {int(hours):02d}:{int(minutes):02d}:{seconds:05.2f}\033[0m")
if __name__ == "__main__":
main()