Upload folder using huggingface_hub
Browse files- README.md +7 -7
- cached_testcase.py +19 -0
- files/avatar.png +0 -0
- files/cantina.wav +0 -0
- requirements.txt +2 -0
- run.ipynb +1 -0
- run.py +19 -0
README.md
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---
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title:
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version: 5.8.0
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app_file:
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: test_chatinterface_multimodal_examples_main
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emoji: 🔥
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colorFrom: indigo
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colorTo: indigo
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sdk: gradio
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sdk_version: 5.8.0
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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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---
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cached_testcase.py
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from pathlib import Path
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import gradio as gr
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image = str(Path(__file__).parent / "files" / "avatar.png")
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audio = str(Path(__file__).parent / "files" / "cantina.wav")
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def echo(message, history):
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return f"You wrote: {message['text']} and uploaded {len(message['files'])} files."
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demo = gr.ChatInterface(
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fn=echo,
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type="messages",
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examples=[{"text": "hello"}, {"text": "hola", "files": [image]}, {"text": "merhaba", "files": [image, audio]}],
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title="Echo Bot",
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multimodal=True,
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)
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if __name__ == "__main__":
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demo.launch()
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files/avatar.png
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files/cantina.wav
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Binary file (132 kB). View file
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requirements.txt
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gradio-client @ git+https://github.com/gradio-app/gradio@48e4aa9d627b6958a0b215d6312de508845f669c#subdirectory=client/python
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https://gradio-pypi-previews.s3.amazonaws.com/48e4aa9d627b6958a0b215d6312de508845f669c/gradio-5.8.0-py3-none-any.whl
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run.ipynb
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{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: test_chatinterface_multimodal_examples"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_multimodal_examples/cached_testcase.py\n", "os.mkdir('files')\n", "!wget -q -O files/avatar.png https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_multimodal_examples/files/avatar.png\n", "!wget -q -O files/cantina.wav https://github.com/gradio-app/gradio/raw/main/demo/test_chatinterface_multimodal_examples/files/cantina.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["from pathlib import Path\n", "import gradio as gr\n", "\n", "image = str(Path(__file__).parent / \"files\" / \"avatar.png\")\n", "audio = str(Path(__file__).parent / \"files\" / \"cantina.wav\")\n", "\n", "def echo(message, history):\n", " return f\"You wrote: {message['text']} and uploaded {len(message['files'])} files.\"\n", "\n", "demo = gr.ChatInterface(\n", " fn=echo,\n", " type=\"messages\",\n", " examples=[{\"text\": \"hello\"}, {\"text\": \"hola\", \"files\": [image]}, {\"text\": \"merhaba\", \"files\": [image, audio]}],\n", " title=\"Echo Bot\",\n", " multimodal=True,\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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from pathlib import Path
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import gradio as gr
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image = str(Path(__file__).parent / "files" / "avatar.png")
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audio = str(Path(__file__).parent / "files" / "cantina.wav")
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def echo(message, history):
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return f"You wrote: {message['text']} and uploaded {len(message['files'])} files."
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demo = gr.ChatInterface(
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fn=echo,
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type="messages",
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examples=[{"text": "hello"}, {"text": "hola", "files": [image]}, {"text": "merhaba", "files": [image, audio]}],
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title="Echo Bot",
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multimodal=True,
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)
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if __name__ == "__main__":
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demo.launch()
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