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Language_Identifier

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  # Language Identifier
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  ---
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- ## OVERVIEW
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  This project is a Flask web application that identifies the language of input text. It uses a machine learning model trained on text data to make predictions. The user inputs text into a form on the web app, and the app returns the predicted language.
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- ## SPECIFICATIONS
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  - The data used for training is taken from Kaggle. It has 22 different languages.
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  - The text in the dataset has tokenization, non alphanumeric characters removal and vectorization applied to it.
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  - The model used for training has 4 layers with 27M params which is enough for getting high accuracy. Complex architectures couldn’t be used because of not sufficient GPUs.
@@ -14,7 +14,7 @@ This project is a Flask web application that identifies the language of input te
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  - The project uses Flask, a lightweight web framework for Python, to create the web application.
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  - The input text is preprocessed before being fed into the model for prediction.
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- ## USAGE
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  ```python
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  def predict_language(text, model, cv, le):
 
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  # Language Identifier
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  ---
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+ ### OVERVIEW
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  This project is a Flask web application that identifies the language of input text. It uses a machine learning model trained on text data to make predictions. The user inputs text into a form on the web app, and the app returns the predicted language.
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+ ### SPECIFICATIONS
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  - The data used for training is taken from Kaggle. It has 22 different languages.
9
  - The text in the dataset has tokenization, non alphanumeric characters removal and vectorization applied to it.
10
  - The model used for training has 4 layers with 27M params which is enough for getting high accuracy. Complex architectures couldn’t be used because of not sufficient GPUs.
 
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  - The project uses Flask, a lightweight web framework for Python, to create the web application.
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  - The input text is preprocessed before being fed into the model for prediction.
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+ ### USAGE
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  ```python
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  def predict_language(text, model, cv, le):