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demos/chatbot_multimodal/run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatbot_multimodal"]}, {"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", "os.mkdir('files')\n", "!wget -q -O files/avatar.png https://github.com/gradio-app/gradio/raw/main/demo/chatbot_multimodal/files/avatar.png\n", "!wget -q -O files/lion.jpg https://github.com/gradio-app/gradio/raw/main/demo/chatbot_multimodal/files/lion.jpg"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import os\n", "import time\n", "\n", "# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.\n", "\n", "\n", "def print_like_dislike(x: gr.LikeData):\n", "    print(x.index, x.value, x.liked)\n", "\n", "def add_message(history, message):\n", "    for x in message[\"files\"]:\n", "        history.append(((x[\"path\"],), None))  \n", "    if message[\"text\"] is not None:\n", "        history.append((message[\"text\"], None))\n", "    return history, gr.MultimodalTextbox(value=None, interactive=False, file_types=[\"image\"])\n", "\n", "def bot(history):\n", "    response = \"**That's cool!**\"\n", "    history[-1][1] = \"\"\n", "    for character in response:\n", "        history[-1][1] += character\n", "        time.sleep(0.05)\n", "        yield history\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    chatbot = gr.Chatbot(\n", "        [],\n", "        elem_id=\"chatbot\",\n", "        bubble_full_width=False,\n", "        avatar_images=(None, (os.path.join(os.path.abspath(''), \"files/avatar.png\"))),\n", "    )\n", "\n", "    chat_input = gr.MultimodalTextbox(interactive=True, file_types=[\"image\"], placeholder=\"Enter message or upload file...\", show_label=False)\n", "    chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input], queue=False).then(\n", "        bot, chatbot, chatbot, api_name=\"bot_response\"\n", "    )\n", "    chat_msg.then(lambda: gr.Textbox(interactive=True), None, [chat_input], queue=False)\n", "    chatbot.like(print_like_dislike, None, None)\n", "\n", "demo.queue()\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: chatbot_multimodal"]}, {"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", "os.mkdir('files')\n", "!wget -q -O files/avatar.png https://github.com/gradio-app/gradio/raw/main/demo/chatbot_multimodal/files/avatar.png\n", "!wget -q -O files/lion.jpg https://github.com/gradio-app/gradio/raw/main/demo/chatbot_multimodal/files/lion.jpg"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import os\n", "import time\n", "\n", "# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.\n", "\n", "\n", "def print_like_dislike(x: gr.LikeData):\n", "    print(x.index, x.value, x.liked)\n", "\n", "def add_message(history, message):\n", "    for x in message[\"files\"]:\n", "        history.append(((x,), None))\n", "    if message[\"text\"] is not None:\n", "        history.append((message[\"text\"], None))\n", "    return history, gr.MultimodalTextbox(value=None, interactive=False)\n", "\n", "def bot(history):\n", "    response = \"**That's cool!**\"\n", "    history[-1][1] = \"\"\n", "    for character in response:\n", "        history[-1][1] += character\n", "        time.sleep(0.05)\n", "        yield history\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    chatbot = gr.Chatbot(\n", "        [],\n", "        elem_id=\"chatbot\",\n", "        bubble_full_width=False,\n", "        avatar_images=(None, (os.path.join(os.path.abspath(''), \"files/avatar.png\"))),\n", "    )\n", "\n", "    chat_input = gr.MultimodalTextbox(interactive=True, file_types=[\"image\"], placeholder=\"Enter message or upload file...\", show_label=False)\n", "\n", "    chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])\n", "    bot_msg = chat_msg.then(bot, chatbot, chatbot, api_name=\"bot_response\")\n", "    bot_msg.then(lambda: gr.MultimodalTextbox(interactive=True), None, [chat_input])\n", "\n", "    chatbot.like(print_like_dislike, None, None)\n", "\n", "demo.queue()\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

requirements.txt

@@ -1,6 +1,6 @@
 
-gradio-client @ git+https://github.com/gradio-app/gradio@9a7b8667a5b8118da12a558e275d0720d664bfc7#subdirectory=client/python
-https://gradio-builds.s3.amazonaws.com/9a7b8667a5b8118da12a558e275d0720d664bfc7/gradio-4.22.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@c4e259cd749ae4de48bc96c9b0d877d58a35230d#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/c4e259cd749ae4de48bc96c9b0d877d58a35230d/gradio-4.22.0-py3-none-any.whl
 pypistats==1.1.0
 plotly==5.10.0
 opencv-python==4.6.0.66