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- # Chat with your Dataset
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- This project demonstrates a web-based application to query a dataset through natural language.
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- ![](./assets/image.png)
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- For this purpose, it uses:
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- - [Streamlit](https://streamlit.io/) to build a data science web app
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- - [Pandasai](https://pandas-ai.com/) to generate Pandas code from a query through [OpenAI GPT-3.5](https://platform.openai.com/docs/api-reference)
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-
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- ## Download dataset
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- Download the [dataset](https://github.com/Fraud-Detection-Handbook/simulated-data-transformed) into the `data` folder at the root of the project.
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- ## Run the project
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- If you don't have a Python environment available, you can use the [conda package manager](https://docs.conda.io/projects/conda/en/latest/index.html) which comes with the [Anaconda distribution](https://www.anaconda.com/download) to manage a clean Python environment.
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- Create a new environment and activate it:
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- ```sh
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- conda create -n streamlit-pandasai python=3.9
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- conda activate streamlit-pandasai
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- ```
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- Install Python dependencies in the activate Python environment:
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- ```sh
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- pip install -r requirements.txt
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- ```
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- Create a [new API key](https://platform.openai.com/account/api-keys) and set it to the `OPENAI_API_KEY` environment variable beforehand.
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- On Windows:
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- ```bash
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- set OPENAI_API_KEY="sk-..."
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- ```
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- On Unix:
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- ```sh
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- export OPENAI_API_KEY="sk-..."
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- ```
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- Run the Streamlit project:
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- ```sh
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- streamlit run streamlit_app.py
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- ```
 
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+ ---
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+ license: apache-2.0
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+ title: Prototipe Dialog Data via PandasAI
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+ sdk: streamlit
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+ emoji: 👁
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+ colorFrom: green
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+ colorTo: blue
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+ ---