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bar_plot_demo.py

@@ -98,14 +98,14 @@ def bar_plot_fn(display):
 
 
 with gr.Blocks() as bar_plot:
-    with gr.Row():
-        with gr.Column():
-            display = gr.Dropdown(
-                choices=["simple", "stacked", "grouped", "simple-horizontal", "stacked-horizontal", "grouped-horizontal"],
-                value="simple",
-                label="Type of Bar Plot"
-            )
-        with gr.Column():
-            plot = gr.BarPlot(show_label=False, show_actions_button=True)
+    display = gr.Dropdown(
+        choices=["simple", "stacked", "grouped", "simple-horizontal", "stacked-horizontal", "grouped-horizontal"],
+        value="simple",
+        label="Type of Bar Plot"
+    )
+    plot = gr.BarPlot(show_label=False)
     display.change(bar_plot_fn, inputs=display, outputs=plot)
     bar_plot.load(fn=bar_plot_fn, inputs=display, outputs=plot)
+
+if __name__ == "__main__":
+    bar_plot.launch()

line_plot_demo.py

@@ -24,8 +24,6 @@ def line_plot_fn(dataset):
             overlay_point=False,
             title="Stock Prices",
             stroke_dash_legend_title=None,
-            height=300,
-            width=500
         )
     elif dataset == "climate":
         return gr.LinePlot(
@@ -40,8 +38,6 @@ def line_plot_fn(dataset):
             overlay_point=False,
             title="Climate",
             stroke_dash_legend_title=None,
-            height=300,
-            width=500
         )
     elif dataset == "seattle_weather":
         return gr.LinePlot(
@@ -56,8 +52,6 @@ def line_plot_fn(dataset):
             overlay_point=True,
             title="Seattle Weather",
             stroke_dash_legend_title=None,
-            height=300,
-            width=500
         )
     elif dataset == "gapminder":
         return gr.LinePlot(
@@ -72,20 +66,15 @@ def line_plot_fn(dataset):
             overlay_point=False,
             title="Life expectancy for countries",
             stroke_dash_legend_title="Country Cluster",
-            height=300,
-            width=500
         )
 
 
 with gr.Blocks() as line_plot:
-    with gr.Row():
-        with gr.Column():
-            dataset = gr.Dropdown(
-                choices=["stocks", "climate", "seattle_weather", "gapminder"],
-                value="stocks",
-            )
-        with gr.Column():
-            plot = gr.LinePlot()
+    dataset = gr.Dropdown(
+        choices=["stocks", "climate", "seattle_weather", "gapminder"],
+        value="stocks",
+    )
+    plot = gr.LinePlot()
     dataset.change(line_plot_fn, inputs=dataset, outputs=plot)
     line_plot.load(fn=line_plot_fn, inputs=dataset, outputs=plot)
 

requirements.txt

@@ -1,3 +1,3 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@bc5fccfeee4ff6941c927c982cfbabed7b90213c#subdirectory=client/python
-https://gradio-builds.s3.amazonaws.com/bc5fccfeee4ff6941c927c982cfbabed7b90213c/gradio-4.36.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@797621b81a0ab9b794e6872f8d43bf6d19a68b78#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/797621b81a0ab9b794e6872f8d43bf6d19a68b78/gradio-4.36.1-py3-none-any.whl
 vega_datasets

scatter_plot_demo.py

@@ -12,13 +12,14 @@ def scatter_plot_fn(dataset):
             value=iris,
             x="petalWidth",
             y="petalLength",
-            color="species",
+            color=None,
             title="Iris Dataset",
-            color_legend_title="Species",
             x_title="Petal Width",
             y_title="Petal Length",
             tooltip=["petalWidth", "petalLength", "species"],
             caption="",
+            height=600,
+            width=600,
         )
     else:
         return gr.ScatterPlot(
@@ -29,17 +30,15 @@ def scatter_plot_fn(dataset):
             tooltip="Name",
             title="Car Data",
             y_title="Miles per Gallon",
-            color_legend_title="Origin of Car",
             caption="MPG vs Horsepower of various cars",
+            height=None,
+            width=None,
         )
 
 
 with gr.Blocks() as scatter_plot:
-    with gr.Row():
-        with gr.Column():
-            dataset = gr.Dropdown(choices=["cars", "iris"], value="cars")
-        with gr.Column():
-            plot = gr.ScatterPlot(show_label=False)
+    dataset = gr.Dropdown(choices=["cars", "iris"], value="cars")
+    plot = gr.ScatterPlot(show_label=False)
     dataset.change(scatter_plot_fn, inputs=dataset, outputs=plot)
     scatter_plot.load(fn=scatter_plot_fn, inputs=dataset, outputs=plot)