miracFence commited on
Commit
3c8f550
·
1 Parent(s): 1e580b8

Update app.py

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Files changed (1) hide show
  1. app.py +16 -15
app.py CHANGED
@@ -9,19 +9,20 @@ Original file is located at
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  # installs
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  """
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- ! pip install gpt_2_simple
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- ! pip install tensorflow-estimator==1.15.1
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- ! pip install gradio
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- ! pip install huggingface_hub
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- ! pip install easynmt
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- ! pip install -U sentence-transformers
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-
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- !curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash
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- !sudo apt-get install git-lfs
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-
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- !git lfs install
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- !git clone https://huggingface.co/franz96521/AbstractGeneratorES
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-
 
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  # Commented out IPython magic to ensure Python compatibility.
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  # %cd '/content/AbstractGeneratorES'
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@@ -38,7 +39,7 @@ if not os.path.isdir(os.path.join("models", model_name)):
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  print(f"Downloading {model_name} model...")
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  gpt2.download_gpt2(model_name=model_name)
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- path = 'AbstractGenerator/'
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  checkpoint_dir =path+'weights/'
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  data_path = path+'TrainigData/'
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@@ -171,4 +172,4 @@ with block:
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  cn_run = gr.Button("Run")
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  cn_run.click(generated_abstract, inputs=[type_of_input, cn_text], outputs=cn_results1)
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- block.launch(debug = True)
 
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  # installs
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  """
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+ import os
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+ os.system('pip install gpt_2_simple')
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+ os.system('pip install os.system')
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+ os.system('pip install gradio')
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+ os.system('pip install huggingface_hub')
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+ os.system('pip install easynmt')
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+ os.system('pip install sentence-transformers')
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+ os.system('curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash')
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+ os.system('apt-get install git-lfs')
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+ os.system('git lfs install')
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+ os.system('git clone https://huggingface.co/franz96521/AbstractGeneratorES ')
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+ #os.system('cd AbstractGeneratorES')
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+ print(os.getcwd())
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+ print(os.listdir())
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  # Commented out IPython magic to ensure Python compatibility.
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  # %cd '/content/AbstractGeneratorES'
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  print(f"Downloading {model_name} model...")
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  gpt2.download_gpt2(model_name=model_name)
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+ path = os.getcwd()+'/AbstractGeneratorES/AbstractGenerator/'
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  checkpoint_dir =path+'weights/'
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  data_path = path+'TrainigData/'
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  cn_run = gr.Button("Run")
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  cn_run.click(generated_abstract, inputs=[type_of_input, cn_text], outputs=cn_results1)
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+ block.launch(debug = True)