copied some webcam code

README.md

@@ -5,7 +5,7 @@ colorFrom: pink
 colorTo: blue
 sdk: gradio
 sdk_version: 5.12.0
-app_file: app.py
+app_file: run.py
 pinned: false
 ---
 

app.py

@@ -0,0 +1,53 @@
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo.launch()
+
+# import asyncio
+# from gradio_webrtc import AsyncAudioVideoStreamHandler
+
+# class GeminiHandler(AsyncAudioVideoStreamHandler):
+#     def __init__(
+#         self, expected_layout="mono", output_sample_rate=24000, output_frame_size=480
+#     ) -> None:
+#         super().__init__(
+#             expected_layout,
+#             output_sample_rate,
+#             output_frame_size,
+#             input_sample_rate=16000,
+#         )
+#         self.audio_queue = asyncio.Queue()
+#         self.video_queue = asyncio.Queue()
+#         self.quit = asyncio.Event()
+#         self.session = None
+#         self.last_frame_time = 0
+
+#     def copy(self) -> "GeminiHandler":
+#         """Copy gets called whenever a new user connects to the server.
+#         This ensures that each user has an independent handler.
+#         """
+#         return GeminiHandler(
+#             expected_layout=self.expected_layout,
+#             output_sample_rate=self.output_sample_rate,
+#             output_frame_size=self.output_frame_size,
+#         )
+
+
+# async def video_receive(self, frame: np.ndarray):
+#     """Send video frames to the server"""
+#     if self.session:
+#         # send image every 1 second
+#         # otherwise we flood the API
+#         if time.time() - self.last_frame_time > 1:
+#             self.last_frame_time = time.time()
+#             await self.session.send(encode_image(frame))
+#             if self.latest_args[2] is not None:
+#                 await self.session.send(encode_image(self.latest_args[2]))
+#     self.video_queue.put_nowait(frame)
+    
+# async def video_emit(self) -> VideoEmitType:
+#     """Return video frames to the client"""
+#     return await self.video_queue.get()

requirements.txt

@@ -0,0 +1 @@
+transformers

run.ipynb

@@ -0,0 +1 @@
+{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: webcam"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["\n", "import gradio as gr\n", "\n", "\n", "def snap(image, video):\n", "    return [image, video]\n", "\n", "\n", "demo = gr.Interface(\n", "    snap,\n", "    [gr.Image(source=\"webcam\", tool=None), gr.Video(source=\"webcam\")],\n", "    [\"image\", \"video\"],\n", ")\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -0,0 +1,16 @@
+
+import gradio as gr
+
+
+def snap(image, video):
+    return [image, video]
+
+
+demo = gr.Interface(
+    snap,
+    [gr.Image(source="webcam", tool=None), gr.Video(source="webcam")],
+    ["image", "video"],
+)
+
+if __name__ == "__main__":
+    demo.launch()