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README.md
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sdk: gradio
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sdk_version:
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app_file: run.py
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pinned: false
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hf_oauth: true
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sdk: gradio
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sdk_version: 6.0.0
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app_file: run.py
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pinned: false
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hf_oauth: true
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requirements.txt
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gradio-client @ git+https://github.com/gradio-app/gradio@
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https://gradio-pypi-previews.s3.amazonaws.com/
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gradio-client @ git+https://github.com/gradio-app/gradio@d007e6cf617baba5c62e49ec2b7ce278aa863a79#subdirectory=client/python
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https://gradio-pypi-previews.s3.amazonaws.com/d007e6cf617baba5c62e49ec2b7ce278aa863a79/gradio-6.0.0-py3-none-any.whl
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: dialogue_mock_diarization"]}, {"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": ["import gradio as gr\n", "\n", "speakers = [\n", " \"Speaker 1\",\n", " \"Speaker 2\",\n", "]\n", "\n", "def format_speaker(speaker, text):\n", " return f\"{speaker}: {text}\"\n", "\n", "def mock_diarization(audio):\n", " return [\n", " {\n", " \"speaker\": \"Speaker 1\",\n", " \"text\": \"Hello, how are you?\",\n", " },\n", " {\n", " \"speaker\": \"Speaker 2\",\n", " \"text\": \"I'm fine, thank you!\",\n", " },\n", " {\n", " \"speaker\": \"Speaker 1\",\n", " \"text\": \"What's your name?\",\n", " },\n", " {\n", " \"speaker\": \"Speaker 2\",\n", " \"text\": \"My name is John Doe.\",\n", " },\n", " {\n", " \"speaker\": \"Speaker 1\",\n", " \"text\": \"Nice to meet you!\",\n", " },\n", " {\n", " \"speaker\": \"Speaker 2\",\n", " \"text\": \"Nice to meet you!\",\n", " },\n", " ]\n", "\n", "demo = gr.Interface(\n", " fn=mock_diarization,\n", " inputs=[gr.Audio(sources=[\"microphone\"])],\n", " outputs=[gr.Dialogue(speakers=speakers, tags=None, formatter=format_speaker)],\n", " title=\"Mock Speech Diarization\",\n", " description=\"Mock speech diarization\",\n", ")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: dialogue_mock_diarization"]}, {"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": ["import gradio as gr\n", "\n", "speakers = [\n", " \"Speaker 1\",\n", " \"Speaker 2\",\n", "]\n", "\n", "def format_speaker(speaker, text):\n", " return f\"{speaker}: {text}\"\n", "\n", "def mock_diarization(audio):\n", " return [\n", " {\n", " \"speaker\": \"Speaker 1\",\n", " \"text\": \"Hello, how are you?\",\n", " },\n", " {\n", " \"speaker\": \"Speaker 2\",\n", " \"text\": \"I'm fine, thank you!\",\n", " },\n", " {\n", " \"speaker\": \"Speaker 1\",\n", " \"text\": \"What's your name?\",\n", " },\n", " {\n", " \"speaker\": \"Speaker 2\",\n", " \"text\": \"My name is John Doe.\",\n", " },\n", " {\n", " \"speaker\": \"Speaker 1\",\n", " \"text\": \"Nice to meet you!\",\n", " },\n", " {\n", " \"speaker\": \"Speaker 2\",\n", " \"text\": \"Nice to meet you!\",\n", " },\n", " ]\n", "\n", "demo = gr.Interface(\n", " fn=mock_diarization,\n", " inputs=[gr.Audio(sources=[\"microphone\"])],\n", " outputs=[gr.Dialogue(speakers=speakers, tags=None, formatter=format_speaker)],\n", " title=\"Mock Speech Diarization\",\n", " description=\"Mock speech diarization\",\n", " api_name=\"predict\"\n", ")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
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run.py
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outputs=[gr.Dialogue(speakers=speakers, tags=None, formatter=format_speaker)],
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title="Mock Speech Diarization",
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description="Mock speech diarization",
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)
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if __name__ == "__main__":
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outputs=[gr.Dialogue(speakers=speakers, tags=None, formatter=format_speaker)],
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title="Mock Speech Diarization",
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description="Mock speech diarization",
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api_name="predict"
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)
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if __name__ == "__main__":
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