Upload folder using huggingface_hub

cached_testcase.py

@@ -1,8 +1,7 @@
-from pathlib import Path
 import gradio as gr
 
-image = str(Path(__file__).parent / "files" / "avatar.png")
-audio = str(Path(__file__).parent / "files" / "cantina.wav")
+image = gr.get_image("avatar.png")
+audio = gr.get_audio("cantina.wav")
 
 def echo(message, history):
     return f"You wrote: {message['text']} and uploaded {len(message['files'])} files."

requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@45c7d6cc69003d7edf4b610f43efa3f37381d51c#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/45c7d6cc69003d7edf4b610f43efa3f37381d51c/gradio-5.49.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@6b5df4a691cb69b9f2cb1f179499a058389b2b3c#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/6b5df4a691cb69b9f2cb1f179499a058389b2b3c/gradio-5.49.1-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"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": ["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}
+{"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", "    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}

run.py

@@ -1,8 +1,7 @@
-from pathlib import Path
 import gradio as gr
 
-image = str(Path(__file__).parent / "files" / "avatar.png")
-audio = str(Path(__file__).parent / "files" / "cantina.wav")
+image = gr.get_image("avatar.png")
+audio = gr.get_audio("cantina.wav")
 
 def echo(message, history):
     return f"You wrote: {message['text']} and uploaded {len(message['files'])} files."