Small fixes to the demos (#1030)

* updated PyPi version to 2.9.0b

* added to init

* moved media_data

* formatting

* updated PyPi version to 2.9.0b2

* default selected

* deprecated keyvalues

* fixed a few small issues

demo/matrix_transpose/requirements.txt

@@ -1 +0,0 @@
-numpy

demo/outbreak_forecast/run.py

@@ -53,7 +53,8 @@ inputs = [
         gr.Dropdown(["Matplotlib", "Plotly", "Bokeh"], label="Plot Type"),
         gr.Slider(minimum=1, maximum=4, default_value=3.2, label="R"),
         gr.Dropdown(["January", "February", "March", "April", "May"], label="Month"),
-        gr.CheckboxGroup(["USA", "Canada", "Mexico", "UK"], label="Countries"),
+        gr.CheckboxGroup(["USA", "Canada", "Mexico", "UK"], label="Countries", 
+                         default_selected=["USA", "Canada"]),
         gr.Checkbox(label="Social Distancing?"),
     ]
 outputs = gr.Plot(type="auto")

demo/random_demos.py

@@ -0,0 +1,42 @@
+"""Opens X demos randomly for quick inspection
+
+Usage: python random_demos.py <num_demos>
+Example: python random_demos.py 8
+
+Assumes:
+- This is being run from the gradio/demo/ directory
+"""
+
+from __future__ import annotations
+
+import argparse
+import importlib
+import os
+import random
+
+import gradio as gr
+
+parser = argparse.ArgumentParser()
+parser.add_argument("num_demos", help="number of demos to launch", type=int, default=4)
+args = parser.parse_args()
+
+# get the list of directory names
+demos_list = next(os.walk('.'))[1]
+
+# Some demos are just too large or need to be run in a special way, so we'll just skip them
+demos_list.remove('streaming_wav2vec')
+demos_list.remove('blocks_neural_instrument_coding')
+demos_list.remove('reverse_audio')
+demos_list.remove('image_classifier')
+demos_list.remove('flagged')
+
+for d, demo_name in enumerate(random.sample(demos_list, args.num_demos)):
+    print(f"Launching demo {d+1}/{args.num_demos}: {demo_name}")
+    # import the run.py file from inside the directory specified by args.demo_name
+    run = importlib.import_module(f"{demo_name}.run")
+    demo: gr.Blocks = run.demo
+    if d == args.num_demos - 1:
+        demo.launch(prevent_thread_lock=False, inbrowser=True)  # prevent main thread from exiting
+    else:
+        demo.launch(prevent_thread_lock=True, inbrowser=True)
+        

demo/text_analysis/run.py

@@ -29,7 +29,7 @@ def text_analysis(text):
 demo = gr.Interface(
     text_analysis,
     gr.Textbox(placeholder="Enter sentence here..."),
-    ["highlight", "key_values", "html"],
+    ["highlight", "json", "html"],
     examples=[
         ["What a beautiful morning for a walk!"],
         ["It was the best of times, it was the worst of times."],

demo/write_config.py

@@ -25,7 +25,7 @@ args = parser.parse_args()
 # import the run.py file from inside the directory specified by args.demo_name
 run = importlib.import_module(f"{args.demo_name}.run")
 
-demo: gr.Blocks = run.iface
+demo: gr.Blocks = run.demo
 config = demo.get_config_file()
 
 json.dump(config, open(args.file_path, "w"), indent=2)

gradio/templates/frontend/index.html

@@ -55,7 +55,7 @@
 		</script>
 		<script src="https://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.1/iframeResizer.contentWindow.min.js"></script>
 		<title>Gradio</title>
-		<script type="module" crossorigin src="./assets/index.2f71b643.js"></script>
+		<script type="module" crossorigin src="./assets/index.48da79ea.js"></script>
 		<link rel="stylesheet" href="./assets/index.39bf42f9.css">
 	</head>
 

gradio/version.txt

@@ -1 +1 @@
-2.9.0b2
+2.9.0b2