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README.md

@@ -1,12 +1,11 @@
+
 ---
-title: Cancel Events Main
-emoji: 📈
-colorFrom: gray
-colorTo: pink
+title: cancel_events_main 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 3.6
-app_file: app.py
+app_file: run.py
 pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1 @@
+https://gradio-main-build.s3.amazonaws.com/c3bec6153737855510542e8154391f328ac72606/gradio-3.6-py3-none-any.whl

run.py

@@ -0,0 +1,49 @@
+import time
+import gradio as gr
+
+
+def fake_diffusion(steps):
+    for i in range(steps):
+        print(f"Current step: {i}")
+        time.sleep(1)
+        yield str(i)
+
+
+def long_prediction(*args, **kwargs):
+    time.sleep(10)
+    return 42
+
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            n = gr.Slider(1, 10, value=9, step=1, label="Number Steps")
+            run = gr.Button()
+            output = gr.Textbox(label="Iterative Output")
+            stop = gr.Button(value="Stop Iterating")
+        with gr.Column():
+            textbox = gr.Textbox(label="Prompt")
+            prediction = gr.Number(label="Expensive Calculation")
+            run_pred = gr.Button(value="Run Expensive Calculation")
+        with gr.Column():
+            cancel_on_change = gr.Textbox(label="Cancel Iteration and Expensive Calculation on Change")
+            cancel_on_submit = gr.Textbox(label="Cancel Iteration and Expensive Calculation on Submit")
+            echo = gr.Textbox(label="Echo")
+    with gr.Row():
+        with gr.Column():
+            image = gr.Image(source="webcam", tool="editor", label="Cancel on edit", interactive=True)
+        with gr.Column():
+            video = gr.Video(source="webcam", label="Cancel on play", interactive=True)
+
+    click_event = run.click(fake_diffusion, n, output)
+    stop.click(fn=None, inputs=None, outputs=None, cancels=[click_event])
+    pred_event = run_pred.click(fn=long_prediction, inputs=[textbox], outputs=prediction)
+
+    cancel_on_change.change(None, None, None, cancels=[click_event, pred_event])
+    cancel_on_submit.submit(lambda s: s, cancel_on_submit, echo, cancels=[click_event, pred_event])
+    image.edit(None, None, None, cancels=[click_event, pred_event])
+    video.play(None, None, None, cancels=[click_event, pred_event])
+
+
+if __name__ == "__main__":
+    demo.queue(concurrency_count=2, max_size=20).launch()