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Browse files- README.md +1 -1
- cached_testcase.py +1 -1
- requirements.txt +2 -2
- run.ipynb +1 -1
- run.py +1 -1
README.md
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@@ -5,7 +5,7 @@ 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:
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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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colorFrom: indigo
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colorTo: indigo
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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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cached_testcase.py
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@@ -8,10 +8,10 @@ def echo(message, history):
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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 = gr.ChatInterface(
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fn=echo,
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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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api_name="chat",
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)
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if __name__ == "__main__":
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requirements.txt
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@@ -1,2 +1,2 @@
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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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@@ -1 +1 @@
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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"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "image = gr.get_image(\"avatar.png\")\n", "audio = gr.get_audio(\"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", "
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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"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "image = gr.get_image(\"avatar.png\")\n", "audio = gr.get_audio(\"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", " examples=[{\"text\": \"hello\"}, {\"text\": \"hola\", \"files\": [image]}, {\"text\": \"merhaba\", \"files\": [image, audio]}],\n", " title=\"Echo Bot\",\n", " multimodal=True,\n", " api_name=\"chat\",\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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@@ -8,10 +8,10 @@ def echo(message, history):
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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 = gr.ChatInterface(
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fn=echo,
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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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api_name="chat",
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)
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if __name__ == "__main__":
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