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Fix formatting issues in Big Query guide and Changelog (#2842)

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* fix formatting issues

* fix format issues with guide and changelog
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Ali Abdalla 2022-12-18 01:51:35 +04:00 committed by GitHub
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commit 3cb2bb061c
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2 changed files with 6 additions and 5 deletions
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2
CHANGELOG.md
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@ -100,7 +100,7 @@ Replaces tunneling logic based on ssh port-forwarding to that based on `frp` by
You don't need to do anything differently, but when you set `share=True` in `launch()`,
you'll get this message and a public link that look a little bit different:
```
```bash
Setting up a public link... we have recently upgraded the way public links are generated. If you encounter any problems, please downgrade to gradio version 3.13.0
.
Running on public URL: https://bec81a83-5b5c-471e.gradio.live

9
guides/05_tabular_data_science_and_plots/creating_a_dashboard_from_bigquery_data.md
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@ -4,9 +4,9 @@
In this tutorial, we will show you how to query a BigQuery dataset in Python and display the data in a dashboard that updates in real time using `gradio`. The dashboard will look like this:
![](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/gradio-guides/bigquery-dashboard.gif)
<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/gradio-guides/bigquery-dashboard.gif">
We'll cover the following steps in thsi Guide:
We'll cover the following steps in this Guide:
1. Setting up your BigQuery credentials
2. Using the BigQuery client
@ -51,7 +51,7 @@ To use Gradio with BigQuery, you will need to obtain your BigQuery credentials a
Once you have the credentials, you will need to use the BigQuery Python client to authenticate using your credentials. To do this, you will need to install the BigQuery Python client by running the following command in the terminal:
```
```bash
pip install google-cloud-bigquery[pandas]
```
@ -113,7 +113,8 @@ with gr.Blocks() as demo:
gr.Markdown("# 💉 Covid Dashboard (Updated Hourly)")
with gr.Row():
gr.DataFrame(run_query, every=60*60)
gr.ScatterPlot(run_query, every=60*60, x="confirmed_cases", y="deaths", tooltip="county", width=500, height=500)
gr.ScatterPlot(run_query, every=60*60, x="confirmed_cases",
y="deaths", tooltip="county", width=500, height=500)
demo.queue().launch() # Run the demo with queuing enabled
```