This is a Streamlit app that allows users to upload CSV, Excel, or JSON files and view their contents using pandas. It also provides the ability to run queries on the uploaded data using the OpenAI API.
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Clone the repository:
git clone https://github.com/Illia-the-coder/DataPulse.git
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Install the required dependencies:
pip install -r requirements.txt
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Obtain an OpenAI API key:
You need to obtain an API key from OpenAI to use the language processing capabilities. Refer to the OpenAI documentation for instructions on how to obtain the API key.
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Set up the API key:
Open the
app.pyfile and replace'Your-OpenAI-API-Key'with your actual OpenAI API key.
Remember to replace `'Your-OpenAI-API-Key'` with your actual OpenAI API key.
Feel free to customize this README file further to provide more specific information about your project, such as additional sections explaining the functionalities, providing examples, or including screenshots of the app.
- Run the Streamlit app:
streamlit run app.py
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Access the app:
Open your web browser and navigate to
http://localhost:8501. You should see the File Upload Pandas Viewer app. -
Upload a file:
Click on the "Choose a file" button and select a CSV, Excel, or JSON file to upload. The file will be displayed in a pandas DataFrame format.
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Run queries:
Enter a query in the text input box provided and click "Enter" to submit the query. The app will use the OpenAI API to process the query on the uploaded data and display the result.
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Explore the data:
You can interact with the DataFrame by scrolling, sorting, filtering, or visualizing the data using the available pandas functionalities.
Contributions are welcome! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.
This project is licensed under the MIT License.