more demos

demo/matrix_transpose/run.py

@@ -7,9 +7,9 @@ def transpose(matrix):
     return matrix.T
 
 
-iface = gr.Interface(
+demo = gr.Interface(
     transpose,
-    gr.inputs.Dataframe(type="numpy", datatype="number", row_count=5, col_count=3),
+    gr.Dataframe(type="numpy", datatype="number", row_count=5, col_count=3),
     "numpy",
     examples=[
         [np.zeros((3, 3)).tolist()],
@@ -20,7 +20,5 @@ iface = gr.Interface(
     ],
 )
 
-iface.test_launch()
-
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()

demo/outbreak_forecast/run.py

@@ -27,17 +27,17 @@ def outbreak(r, month, countries, social_distancing):
     return plt
 
 
-iface = gr.Interface(
+demo = gr.Interface(
     outbreak,
     [
-        gr.inputs.Slider(1, 4, default=3.2, label="R"),
-        gr.inputs.Dropdown(
+        gr.Slider(minimum=1, maximum=4, default_value=3.2, label="R"),
+        gr.Dropdown(
             ["January", "February", "March", "April", "May"], label="Month"
         ),
-        gr.inputs.CheckboxGroup(["USA", "Canada", "Mexico", "UK"], label="Countries"),
-        gr.inputs.Checkbox(label="Social Distancing?"),
+        gr.CheckboxGroup(["USA", "Canada", "Mexico", "UK"], label="Countries"),
+        gr.Checkbox(label="Social Distancing?"),
     ],
     "plot",
 )
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()

demo/question_answer/run.py

@@ -7,18 +7,21 @@ examples = [
     ]
 ]
 
-gr.Interface.load(
+demo = gr.Interface.load(
     "huggingface/deepset/roberta-base-squad2",
     inputs=[
-        gr.inputs.Textbox(
+        gr.Textbox(
             lines=5, label="Context", placeholder="Type a sentence or paragraph here."
         ),
-        gr.inputs.Textbox(
+        gr.Textbox(
             lines=2,
             label="Question",
             placeholder="Ask a question based on the context.",
         ),
     ],
-    outputs=[gr.outputs.Textbox(label="Answer"), gr.outputs.Label(label="Probability")],
+    outputs=[gr.Textbox(label="Answer"), gr.Label(label="Probability")],
     examples=examples,
-).launch()
+)
+
+if __name__ == "__main__":
+    demo.launch()

demo/reverse_audio/run.py

@@ -8,7 +8,7 @@ def reverse_audio(audio):
     return (sr, np.flipud(data))
 
 
-iface = gr.Interface(reverse_audio, "microphone", "audio", examples="audio")
+demo = gr.Interface(reverse_audio, "microphone", "audio", examples="audio")
 
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()

demo/sales_projections/run.py

@@ -24,9 +24,9 @@ def sales_projections(employee_data):
     return employee_data, plt.gcf(), regression_values
 
 
-iface = gr.Interface(
+demo = gr.Interface(
     sales_projections,
-    gr.inputs.Dataframe(
+    gr.Dataframe(
         headers=["Name", "Jan Sales", "Feb Sales", "Mar Sales"],
         default=[["Jon", 12, 14, 18], ["Alice", 14, 17, 2], ["Sana", 8, 9.5, 12]],
     ),
@@ -34,4 +34,4 @@ iface = gr.Interface(
     description="Enter sales figures for employees to predict sales trajectory over year.",
 )
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()

demo/sentiment_analysis/run.py

@@ -13,8 +13,7 @@ def sentiment_analysis(text):
     return scores
 
 
-iface = gr.Interface(sentiment_analysis, "textbox", "label", interpretation="default")
+demo = gr.Interface(sentiment_analysis, "textbox", "label", interpretation="default")
 
-iface.test_launch()
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()