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Update README.md

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@@ -13,7 +13,8 @@ The model's performance on the test dataset, which includes around 980 English e
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  Upon inputting an essay, the model outputs six scores corresponding to cohesion, syntax, vocabulary, phraseology, grammar, and conventions. Each score ranges from 1 to 5, with higher scores indicating greater proficiency within the essay. These dimensions collectively assess the quality of the input essay from multiple perspectives. The model serves as a valuable tool for EFL teachers and researchers, and it is also beneficial for English L2 learners and parents for self-evaluating their composition skills.
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  To test the model, run the following code or paste your essay into the API interface:
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- Please use the following if you want to get the ouput values ranging from 1 to 5.
 
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  ```
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  #import packages
@@ -69,7 +70,7 @@ for trait, score in zip(trait_names, predicted_scores):
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  ```
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- However, implment the following code if you have the output values between 1 to 10.
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  ```
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  # Import packages
 
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  Upon inputting an essay, the model outputs six scores corresponding to cohesion, syntax, vocabulary, phraseology, grammar, and conventions. Each score ranges from 1 to 5, with higher scores indicating greater proficiency within the essay. These dimensions collectively assess the quality of the input essay from multiple perspectives. The model serves as a valuable tool for EFL teachers and researchers, and it is also beneficial for English L2 learners and parents for self-evaluating their composition skills.
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  To test the model, run the following code or paste your essay into the API interface:
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+ 1) Please use the following Python code if you want to get the ouput values ranging from 1 to 5.
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  ```
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  #import packages
 
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  ```
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+ 2) However, implement the following code if you expect to obtain the output values between 1 to 10.
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  ```
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  # Import packages