Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -3,6 +3,9 @@ import numpy as np
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import spaces
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from fastrtc import WebRTC, get_turn_credentials
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@spaces.GPU
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def process_frames_on_gpu(frame_stream):
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"""
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@@ -11,6 +14,10 @@ def process_frames_on_gpu(frame_stream):
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"""
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print("🚀 GPU Frame processing loop started.")
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# This loop will block until a new frame is available, making it reactive.
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for frame in frame_stream:
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if frame is not None:
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@@ -26,11 +33,11 @@ def process_frames_on_gpu(frame_stream):
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with gr.Blocks(theme=gr.themes.Soft(), title="FastRTC ZeroGPU Flipper") as demo:
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gr.Markdown("# 🚀 FastRTC Webcam Flipper for ZeroGPU")
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gr.Markdown(
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"*This version uses
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)
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with gr.Row():
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with gr.Column():
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gr.Markdown("### 1. Your Webcam Feed (Input)")
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webcam_input = WebRTC(
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label="Webcam Input",
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@@ -40,8 +47,9 @@ with gr.Blocks(theme=gr.themes.Soft(), title="FastRTC ZeroGPU Flipper") as demo:
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height=480,
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rtc_configuration=get_turn_credentials(),
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)
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with gr.Column():
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gr.Markdown("### 2. Flipped Video (Output)")
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video_output = WebRTC(
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label="Flipped Output Stream",
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@@ -52,13 +60,13 @@ with gr.Blocks(theme=gr.themes.Soft(), title="FastRTC ZeroGPU Flipper") as demo:
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rtc_configuration=get_turn_credentials(),
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)
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#
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#
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-
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fn=process_frames_on_gpu,
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inputs=[webcam_input],
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outputs=[video_output]
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time_limit=120,
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)
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if __name__ == "__main__":
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import spaces
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from fastrtc import WebRTC, get_turn_credentials
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# This is the core processing function that will be assigned to the GPU.
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# It receives a generator (`frame_stream`) that yields frames from the webcam
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# and it yields processed frames back to the output component.
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@spaces.GPU
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def process_frames_on_gpu(frame_stream):
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"""
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"""
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print("🚀 GPU Frame processing loop started.")
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if frame_stream is None:
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print("Input stream is None, ending.")
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return
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# This loop will block until a new frame is available, making it reactive.
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for frame in frame_stream:
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if frame is not None:
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with gr.Blocks(theme=gr.themes.Soft(), title="FastRTC ZeroGPU Flipper") as demo:
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gr.Markdown("# 🚀 FastRTC Webcam Flipper for ZeroGPU")
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gr.Markdown(
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"*This version uses a separate button to trigger the stream, correctly using Gradio's streaming iterator pattern for ZeroGPU without conflicting with the `fastrtc` component's internal logic.*"
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)
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("### 1. Your Webcam Feed (Input)")
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webcam_input = WebRTC(
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label="Webcam Input",
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height=480,
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rtc_configuration=get_turn_credentials(),
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)
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start_button = gr.Button("🚀 Start Processing Stream", variant="primary")
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with gr.Column(scale=1):
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gr.Markdown("### 2. Flipped Video (Output)")
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video_output = WebRTC(
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label="Flipped Output Stream",
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rtc_configuration=get_turn_credentials(),
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)
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# By using a button's `click` event to start the stream, we use Gradio's
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# standard streaming API, which correctly provides the iterator to our
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# decorated function without causing a conflict.
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start_button.click(
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fn=process_frames_on_gpu,
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inputs=[webcam_input],
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outputs=[video_output]
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)
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if __name__ == "__main__":
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