checked 7 more demos

demo/chatbot/run.py

@@ -17,7 +17,7 @@ def chat(message, history):
     return history, history
 
 
-iface = gr.Interface(
+demo = gr.Interface(
     chat,
     ["text", "state"],
     ["chatbot", "state"],
@@ -25,4 +25,4 @@ iface = gr.Interface(
     allow_flagging="never",
 )
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()

demo/diff_texts/run.py

@@ -11,15 +11,15 @@ def diff_texts(text1, text2):
     ]
 
 
-iface = gr.Interface(
+demo = gr.Interface(
     diff_texts,
     [
-        gr.inputs.Textbox(
+        gr.Textbox(
             lines=3, default="The quick brown fox jumped over the lazy dogs."
         ),
-        gr.inputs.Textbox(lines=3, default="The fast brown fox jumps over lazy dogs."),
+        gr.Textbox(lines=3, default="The fast brown fox jumps over lazy dogs."),
     ],
-    gr.outputs.HighlightedText(color_map={"+": "green", "-": "pink"}),
+    gr.HighlightedText(),
 )
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()

demo/digit_classifier/run.py

@@ -18,20 +18,20 @@ def recognize_digit(image):
     return {str(i): prediction[i] for i in range(10)}
 
 
-im = gradio.inputs.Image(
+im = gradio.Image(
     shape=(28, 28), image_mode="L", invert_colors=False, source="canvas"
 )
 
-iface = gr.Interface(
+demo = gr.Interface(
     recognize_digit,
     im,
-    gradio.outputs.Label(num_top_classes=3),
+    gradio.Label(num_top_classes=3),
     live=True,
     interpretation="default",
     capture_session=True,
 )
 
-iface.test_launch()
+demo.test_launch()
 
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()

demo/disease_report/run.py

@@ -25,18 +25,18 @@ def disease_report(img, scan_for, generate_report):
     return results, report if generate_report else None
 
 
-iface = gr.Interface(
+demo = gr.Interface(
     disease_report,
     [
         "image",
-        gr.inputs.CheckboxGroup(
+        gr.CheckboxGroup(
             ["Cancer", "Rash", "Heart Failure", "Stroke", "Diabetes", "Pneumonia"]
         ),
         "checkbox",
     ],
     [
-        gr.outputs.Carousel(["text", "image"], label="Disease"),
-        gr.outputs.File(label="Report"),
+        gr.Carousel(["text", "image"], label="Disease"),
+        gr.File(label="Report"),
     ],
     title="Disease Report",
     description="Upload an Xray and select the diseases to scan for.",
@@ -46,4 +46,4 @@ iface = gr.Interface(
 )
 
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()

demo/filter_records/run.py

@@ -5,21 +5,19 @@ def filter_records(records, gender):
     return records[records["gender"] == gender]
 
 
-iface = gr.Interface(
+demo = gr.Interface(
     filter_records,
     [
-        gr.inputs.Dataframe(
+        gr.Dataframe(
             headers=["name", "age", "gender"],
             datatype=["str", "number", "str"],
             row_count=5,
         ),
-        gr.inputs.Dropdown(["M", "F", "O"]),
+        gr.Dropdown(["M", "F", "O"]),
     ],
     "dataframe",
     description="Enter gender as 'M', 'F', or 'O' for other.",
 )
 
-iface.test_launch()
-
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()

demo/form_graph/run.py

@@ -1,5 +1,3 @@
-import random
-
 import matplotlib.pyplot as plt
 import numpy as np
 
@@ -24,19 +22,19 @@ def plot_forecast(final_year, companies, noise, show_legend, point_style):
     return fig
 
 
-iface = gr.Interface(
+demo = gr.Interface(
     plot_forecast,
     [
-        gr.inputs.Radio([2025, 2030, 2035, 2040], label="Project to:"),
-        gr.inputs.CheckboxGroup(
+        gr.Radio([2025, 2030, 2035, 2040], label="Project to:"),
+        gr.CheckboxGroup(
             ["Google", "Microsoft", "Gradio"], label="Company Selection"
         ),
-        gr.inputs.Slider(1, 100, label="Noise Level"),
-        gr.inputs.Checkbox(label="Show Legend"),
-        gr.inputs.Dropdown(["cross", "line", "circle"], label="Style"),
+        gr.Slider(1, 100, label="Noise Level"),
+        gr.Checkbox(label="Show Legend"),
+        gr.Dropdown(["cross", "line", "circle"], label="Style"),
     ],
-    gr.outputs.Image(plot=True, label="forecast"),
+    gr.Image(plot=True, label="forecast"),
 )
 
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()

demo/write_config.py

@@ -6,7 +6,7 @@ Example: python write_config.py calculator output.json
 Assumes:
 - The demo_name is a folder in this directory
 - The demo_name folder contains a run.py file 
-- The run.py which defines a Gradio Interface/Blocks instance called demo
+- The run.py file defines a Gradio Interface/Blocks instance called `demo`
 """
 
 from __future__ import annotations