Update app.py

app.py

@@ -5,7 +5,7 @@ import matplotlib.pyplot
 import matplotlib.collections
 import math
 
-data = pandas.read_csv("1-s2.0-S2352340918302014-mmc2.csv")
+data = pandas.read_csv("/1-s2.0-S2352340918302014-mmc2.csv")
 
 def how_many_designs(team: int, participant: int):
     n = len(numpy.unique(data[(data['Team'] == team) & (data['Participant'] == participant)]['Design']))
@@ -50,13 +50,16 @@ with gradio.Blocks() as demo:
       team = gradio.Dropdown(choices=[str(i) for i in range(1,17)], value="1", label="Team Number")
       participant = gradio.Dropdown(choices=[str(i) for i in range(1,4)], value="1", label="Teammate Number")
       design = gradio.Slider(1, 100, step=1, value=1, label="Design Number")
+
+      with gradio.Row():
+          btn1 = gradio.Button("⬅ Reverse", variant="secondary")
+          btn1.click(fn=lambda x: gradio.Slider.update(value=x-1), inputs=[design], outputs=[design])
+          btn2 = gradio.Button("Forward ⮕", variant="primary")
+          btn2.click(fn=lambda x: gradio.Slider.update(value=x+1), inputs=[design], outputs=[design])
+
     with gradio.Column():
       output = gradio.Plot(value=print_design(1, 1, 1))
 
-    with gr.Row():
-        btn1 = gr.Button("Reverse", fn=lambda x: return x-1, inputs=[design], outputs=[design])
-        btn2 = gr.Button("Forward", fn=lambda x: return x+1, inputs=[design], outputs=[design])
-
     team.change(fn=how_many_designs, inputs=[team, participant], outputs=[design])
     participant.change(fn=how_many_designs, inputs=[team, participant], outputs=[design])