|
import os |
|
import subprocess |
|
import torch |
|
|
|
print(os.listdir('/usr/local/')) |
|
print(torch.version.cuda) |
|
|
|
class EndpointHandler(): |
|
def __init__(self, path=""): |
|
is_production = True |
|
|
|
os.chdir("/repository" if is_production else "/workspace/eri2") |
|
|
|
os.environ['AM_I_DOCKER'] = 'False' |
|
os.environ['BUILD_WITH_CUDA'] = 'True' |
|
os.environ['CUDA_HOME'] = '/usr/local/cuda-11.7/' |
|
|
|
|
|
subprocess.run(["python", "-m", "pip", "install", "-e", "segment_anything"]) |
|
|
|
|
|
subprocess.run(["python", "-m", "pip", "install", "-e", "GroundingDINO"]) |
|
|
|
|
|
subprocess.run(["pip", "install", "--upgrade", "diffusers[torch]"]) |
|
|
|
|
|
subprocess.run(["git", "submodule", "update", "--init", "--recursive"]) |
|
subprocess.run(["bash", "grounded-sam-xxx/install.sh"], cwd="grounded-sam-xxx") |
|
|
|
|
|
subprocess.run(["git", "clone", "https://github.com/xinyu1205/recognize-anything.git"]) |
|
subprocess.run(["pip", "install", "-r", "./recognize-anything/requirements.txt"]) |
|
subprocess.run(["pip", "install", "-e", "./recognize-anything/"]) |
|
|
|
def __call__(self, data): |
|
""" |
|
data args: |
|
inputs (:obj: `str`) |
|
date (:obj: `str`) |
|
Return: |
|
A :obj:`list` | `dict`: will be serialized and returned |
|
""" |
|
|
|
inputs = data.pop("inputs",data) |
|
date = data.pop("date", None) |
|
|
|
|
|
if date is not None and date in self.holidays: |
|
return [{"label": "happy", "score": 1}] |
|
|
|
|
|
|
|
prediction = self.pipeline(inputs) |
|
return prediction |