Spaces:
Sleeping
Sleeping
Add timer to capture images every 0.5 seconds
Browse files
app.py
CHANGED
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@@ -8,7 +8,7 @@ import io
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def preprocess(image):
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img = np.array(image)
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img = cv2.flip(img, 1)
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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kernel = np.array([[0,-1,0], [-1,5,-1], [0,-1,0]])
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gray = cv2.filter2D(gray, -1, kernel)
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@@ -42,20 +42,21 @@ with gr.Blocks() as demo:
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with gr.Row():
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webcam = gr.Image(
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type="pil",
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sources=["webcam"],
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label="Webcam Input"
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live=True # <-- enables real-time updates
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)
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processed_preview = gr.Image(type="pil", label="Processed Preview")
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ocr_text = gr.Textbox(label="Extracted Text")
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audio_output = gr.Audio(label="Text-to-Speech Output")
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if __name__ == "__main__":
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demo.launch()
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def preprocess(image):
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img = np.array(image)
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img = cv2.flip(img, 1) # mirror
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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kernel = np.array([[0,-1,0], [-1,5,-1], [0,-1,0]])
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gray = cv2.filter2D(gray, -1, kernel)
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with gr.Row():
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webcam = gr.Image(
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type="pil",
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sources=["webcam"], # user captures frames manually
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label="Webcam Input"
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)
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processed_preview = gr.Image(type="pil", label="Processed Preview")
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ocr_text = gr.Textbox(label="Extracted Text")
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audio_output = gr.Audio(label="Text-to-Speech Output")
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# Timer triggers the function every 0.5 seconds
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def timer_fn():
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if webcam.value is None:
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return None, None, None
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return extract_text_and_speak(webcam.value)
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gr.Timer(interval=0.5, fn=timer_fn, outputs=[processed_preview, ocr_text, audio_output])
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if __name__ == "__main__":
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demo.launch()
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