romanbredehoft-zama commited on
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fee1bf4
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  1. README.md +2 -1
  2. compile.py +1 -1
  3. requirements.txt +3 -1
README.md CHANGED
@@ -22,13 +22,14 @@ In this directory, ie `sentiment-analysis-with-transformer`, you can do the foll
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  - First, create a virtual env and activate it:
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  ```bash
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- python3.9 -m venv .venv
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  source .venv/bin/activate
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  ```
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  - Then, install required packages:
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  ```bash
 
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  pip3 install -U pip wheel setuptools --ignore-installed
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  pip3 install -r requirements.txt --ignore-installed
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  ```
 
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  - First, create a virtual env and activate it:
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  ```bash
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+ python3 -m venv .venv
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  source .venv/bin/activate
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  ```
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  - Then, install required packages:
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  ```bash
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+ pip3 install pip --upgrade
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  pip3 install -U pip wheel setuptools --ignore-installed
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  pip3 install -r requirements.txt --ignore-installed
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  ```
compile.py CHANGED
@@ -46,7 +46,7 @@ if Path.joinpath(script_dir, "sentiment_fhe_model/deployment").exists():
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  fhe_api = FHEModelDev(
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  model=model, path_dir=Path.joinpath(script_dir, "sentiment_fhe_model/deployment")
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  )
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- fhe_api.save()
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  # Write the serialized_processing.json file to the deployment folder
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  with open(
 
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  fhe_api = FHEModelDev(
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  model=model, path_dir=Path.joinpath(script_dir, "sentiment_fhe_model/deployment")
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  )
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+ fhe_api.save(via_mlir=True)
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  # Write the serialized_processing.json file to the deployment folder
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  with open(
requirements.txt CHANGED
@@ -1,3 +1,5 @@
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  concrete-ml==1.1.0
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  gradio==3.40.1
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- transformers==4.20.1
 
 
 
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  concrete-ml==1.1.0
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  gradio==3.40.1
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+ pandas==1.4.3
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+ transformers==4.32.0
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+ jupyter==1.0.0