hello

app.py

@@ -41,7 +41,11 @@ def generate_output(num_iterations, option):
 
 def get_frame_and_attribution(slider_value):
     global frames, attributions
+    slider_value = min(slider_value, len(frames) - 1)
     frame = frames[slider_value]
+
+    print(f"{frame.shape=}")
+
     attribution = display_softmax(attributions[slider_value])
 
     return frame, attribution
@@ -57,7 +61,7 @@ with gr.Blocks() as demo:
             option = gr.Dropdown(choices=["Torch Tensor of 0's", "Running Average"], type="index")
             baselines = gr.Slider(label="Number of Baseline Iterations", interactive=True, minimum=0, maximum=100, value=10, step=5, info="Baseline inputs to collect for the average", render=True)
         gr.Button("ATTRIBUTE").click(fn=generate_output, inputs=[baselines, option])
-        slider = gr.Slider(label="Key Frame", minimum=0, maximum=300, step=1, value=0)
+        slider = gr.Slider(label="Key Frame", minimum=0, maximum=1000, step=1, value=0)
 
         gr.Interface(fn=get_frame_and_attribution, inputs=slider, live=True, outputs=[gr.Image(), gr.Label()])