Merge pull request #32 from ploomber/demo

chat with csv

Author: edublancas

examples/docker/chat-with-csv-solara/Dockerfile

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+FROM python:3.11
+
+COPY app.py app.py
+COPY chat.py chat.py
+COPY static/ static/
+RUN pip install git+https://github.com/ploomber/jupysql.git@master
+RUN pip install requests solara openai pandas duckdb duckdb-engine matplotlib
+
+
+ENTRYPOINT ["solara", "run", "app.py", "--host=0.0.0.0", "--port=80"]

examples/docker/chat-with-csv-solara/README.md

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+# Data querying and visualisation App
+
+This query and data visualisation application is designed to provide a user-friendly chatbot interface to interact with your data, making data exploration and analysis a breeze.
+
+
+## Getting Started
+
+To get started with this app, follow these steps:
+
+1. Login to your [Ploomber Cloud](https://ploomber.io/) account.
+
+2. Follow the [steps](https://docs.cloud.ploomber.io/en/latest/apps/solara.html) for deploying a Solara application and upload the `app.zip` file provided in the example. Ensure to add your own `openai` API Key in `app.py` file.
+
+## How to use
+
+1. **Dataset**: Click the `SAMPLE DATASET` button to load a sample csv file, or upload your own content by dragging a file to the drop area. You may also clear the loaded data by clicking the `Clear Dataset` button.
+
+2. **Number of preview rows**: Input the desired number of preview rows to be displayed.
+
+3. **Interaction**: You may ask the chatbot natural language queries like : `top 20 rows of table`, `unique values of column with counts`, etc.
+
+4. **Data visualisation**: Visualize your data on the fly. Currently, the app supports histogram and box plot on a specific column, e.g., `histogram on column`.
+
+5. **Export Results**: The app allows you to export the charts, or query results.