Create app.py

app.py

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+# Import the InferencePipeline object
+from inference import InferencePipeline
+
+# Import the built in render_boxes sink for visualizing results
+from inference.core.interfaces.stream.sinks import render_boxes
+
+# initialize a pipeline object
+pipeline = InferencePipeline.init(
+    model_id="fall-detection-v2-ihywg/5",  # Roboflow model to use
+    # Path to video, device id (int, usually 0 for built in webcams), or RTSP stream url
+    video_reference="./examples/fall_test.mp4",
+    on_prediction=render_boxes,  # Function to run after each prediction
+)
+pipeline.start()
+pipeline.join()