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Fixing links in plotly map guide + demo (#2578)

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* move demo to gradio org

* Update CHANGELOG.md

* Update CHANGELOG.md
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Dawood Khan 2022-11-01 18:18:08 -04:00 committed by GitHub
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CHANGELOG.md
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@ -5,6 +5,7 @@ No changes to highlight.
## Bug Fixes:
* Fixed bug where None could not be used for File,Model3D, and Audio examples by [@freddyaboulton](https://github.com/freddyaboulton) in [PR 2588](https://github.com/gradio-app/gradio/pull/2588)
* Fixed links in Plotly map guide + demo by [@dawoodkhan82](https://github.com/dawoodkhan82) in [PR 2578](https://github.com/gradio-app/gradio/pull/2578)
## Documentation Changes:
No changes to highlight.

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demo/map_airbnb/run.py
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@ -3,7 +3,7 @@ import pandas as pd
import plotly.graph_objects as go
from datasets import load_dataset
dataset = load_dataset("dawood/NYC-Airbnb-Open-Data", split="train")
dataset = load_dataset("gradio/NYC-Airbnb-Open-Data", split="train")
df = dataset.to_pandas()
def filter_map(min_price, max_price, boroughs):

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guides/5)other_tutorials/plot_component_for_maps.md
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@ -9,9 +9,9 @@ This guide explains how you can use Gradio to plot geographical data on a map us
## Overview
We will be using the New York City Airbnb dataset, which is hosted on kaggle [here](https://www.kaggle.com/datasets/dgomonov/new-york-city-airbnb-open-data). I've uploaded it to the Hugging Face Hub as a dataset [here](https://huggingface.co/datasets/dawood/NYC-Airbnb-Open-Data) for easier use and download. Using this data we will plot Airbnb locations on a map output and allow filtering based on price and location. Below is the demo that we will be buiding. ⚡️
We will be using the New York City Airbnb dataset, which is hosted on kaggle [here](https://www.kaggle.com/datasets/dgomonov/new-york-city-airbnb-open-data). I've uploaded it to the Hugging Face Hub as a dataset [here](https://huggingface.co/datasets/gradio/NYC-Airbnb-Open-Data) for easier use and download. Using this data we will plot Airbnb locations on a map output and allow filtering based on price and location. Below is the demo that we will be buiding. ⚡️
<gradio-app space="dawood/NYC-Airbnb-Map"> </gradio-app>
<gradio-app space="gradio/NYC-Airbnb-Map"> </gradio-app>
## Step 1 - Loading CSV data 💾
@ -21,7 +21,7 @@ Let's start by loading the Airbnb NYC data from the Hugging Face Hub.
```python
import pandas as pd
dataset = load_dataset("dawood/NYC-Airbnb-Open-Data", split="train")
dataset = load_dataset("gradio/NYC-Airbnb-Open-Data", split="train")
df = dataset.to_pandas()
def filter_map(min_price, max_price, boroughs):
@ -99,7 +99,7 @@ import gradio as gr
import pandas as pd
import plotly.graph_objects as go
dataset = load_dataset("dawood/NYC-Airbnb-Open-Data", split="train")
dataset = load_dataset("gradio/NYC-Airbnb-Open-Data", split="train")
df = dataset.to_pandas()
def filter_map(min_price, max_price, boroughs):
@ -163,4 +163,4 @@ If you haven't used Spaces before, follow the previous guide [here](/using_huggi
## Conclusion 🎉
And you're all done! That's all the code you need to build a map demo.
Here's a link to the demo [Map demo](https://huggingface.co/spaces/dawood/NYC-Airbnb-Map) and [complete code](https://huggingface.co/spaces/dawood/NYC-Airbnb-Map/blob/main/app.py) (on Hugging Face Spaces)
Here's a link to the demo [Map demo](https://huggingface.co/spaces/gradio/NYC-Airbnb-Map) and [complete code](https://huggingface.co/spaces/gradio/NYC-Airbnb-Map/blob/main/app.py) (on Hugging Face Spaces)