update cog.yaml

cog.yaml

@@ -59,8 +59,6 @@ build:
   # commands run after the environment is setup
   run:
     - "pip install torch==2.0.1 torchvision==0.15.2"
-    - 'wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh;bash miniconda.sh -b -p $HOME/miniconda3;export PATH="$HOME/miniconda3/bin:$PATH";conda --version'
-    - "git clone https://github.com/lllyasviel/ControlNet.git;cd ControlNet;conda env create -f environment.yaml;conda activate control"
     - "echo env is ready!"
     - "echo another command if needed"
 

predict.py

 # Prediction interface for Cog ⚙️
 # https://cog.run/python
 
+from modelscope import snapshot_download
 from cog import BasePredictor, Input, Path
 from typing import List
 from modelscope.pipelines import pipeline
@@ -16,8 +17,9 @@ params = {
 
 class Predictor(BasePredictor):
     def setup(self) -> None:
+        model_dir = snapshot_download('iic/cv_anytext_text_generation_editing')
         self.model = pipeline('my-anytext-task',
-                              model='damo/cv_anytext_text_generation_editing', model_revision='v1.1.3')
+                              model=model_dir, model_revision='v1.1.3')
 
     def predict(
         self,