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README.md
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@@ -5,7 +5,7 @@ emoji: 🔥
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colorFrom: indigo
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sdk: gradio
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sdk_version: 4.
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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: 4.29.0
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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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run.ipynb
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{"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", "
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{"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", "with gr.Blocks() as demo:\n", " chatbot = gr.Chatbot(\n", " [],\n", " elem_id=\"chatbot\",\n", " bubble_full_width=False\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}
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run.py
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time.sleep(0.05)
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yield history
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-
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot(
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[],
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elem_id="chatbot",
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bubble_full_width=False
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)
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chat_input = gr.MultimodalTextbox(interactive=True, file_types=["image"], placeholder="Enter message or upload file...", show_label=False)
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time.sleep(0.05)
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yield history
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot(
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[],
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elem_id="chatbot",
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bubble_full_width=False
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)
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chat_input = gr.MultimodalTextbox(interactive=True, file_types=["image"], placeholder="Enter message or upload file...", show_label=False)
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