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Update README with .env instructions

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@@ -20,7 +20,8 @@ Prototype that classifies text into positive or negative sentiments using a fine
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  ## Usage
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  1. Download the [trained model](https://huggingface.co/rootstrap-org/bert-sentiment-classifier/blob/main/sentiments_bert_model.h5) and move it to the *models* directory
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- 2. Use the tool:
 
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  * To use it as a **streamlit web app** run:
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  `streamlit run sentiment_analysis.py`
 
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  ## Usage
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  1. Download the [trained model](https://huggingface.co/rootstrap-org/bert-sentiment-classifier/blob/main/sentiments_bert_model.h5) and move it to the *models* directory
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+ 2. Create a `.env` file and set a MODEL_NAME property with the name of the trained model file and optionally a MODEL_REPOSITORY_NAME property with the name of the huggingface repository of the model.
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+ 3. Use the tool:
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  * To use it as a **streamlit web app** run:
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  `streamlit run sentiment_analysis.py`