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Merge pull request #143 from ShreeluSantosh/ShreeluSantoshbranch
Update README.md - updated Usage section with instructions for running Streamlit app + demo link
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README.md

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@@ -46,13 +46,33 @@ https://github.com/your-username/Semi-supervised-sequence-learning-Project.git
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## Usage
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- Customize the scraper settings in the scraper.py file as per your requirements. This includes specifying the time period, ratings, and any other parameters you want to filter by.
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**Starting the Streamlit app**
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- Run the scraper.py script:
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1. Navigate to the Web_app directory
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`python scraper.py`
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```
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cd Web_app
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```
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2. Install requirements with pip
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```
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pip install -r requirements.txt
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```
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3. Run the Streamlit app
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```
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streamlit run streamlit_app.py
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```
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**Uploading the CSV file**
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When prompted by the app, upload a CSV (comma separated value) file containing the reviews.
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**Demo Link**
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Streamlit app link: https://scrape-review-analysis.streamlit.app
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- The scraped data will be saved into a CSV file named data.csv in the data_scrapped directory.
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## Contribution
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🎉Contributions are welcome! If you have any suggestions for improvements or new features, please feel free to submit a pull request. Your contributions help make this project better for everyone. 🚀
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## Final Dataset
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