Upload folder using huggingface_hub

requirements.txt

@@ -1,2 +1,2 @@
 
-https://gradio-main-build.s3.amazonaws.com/dd97ee9940e4792484657b9a0a2acd99979a885c/gradio-3.35.2-py3-none-any.whl
+https://gradio-main-build.s3.amazonaws.com/21c0198da1b075526732ebca38ef0c883a96dc4b/gradio-3.35.2-py3-none-any.whl

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": ["import gradio as gr\n", "\n", "\n", "def add_text(history, text):\n", "    history = history + [(text, None)]\n", "    return history, gr.update(value=\"\", interactive=False)\n", "\n", "\n", "def add_file(history, file):\n", "    history = history + [((file.name,), None)]\n", "    return history\n", "\n", "\n", "def bot(history):\n", "    response = \"**That's cool!**\"\n", "    history[-1][1] = response\n", "    return history\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    chatbot = gr.Chatbot([], elem_id=\"chatbot\").style(height=750)\n", "\n", "    with gr.Row():\n", "        with gr.Column(scale=0.85):\n", "            txt = gr.Textbox(\n", "                show_label=False,\n", "                placeholder=\"Enter text and press enter, or upload an image\",\n", "            ).style(container=False)\n", "        with gr.Column(scale=0.15, min_width=0):\n", "            btn = gr.UploadButton(\"\ud83d\udcc1\", file_types=[\"image\", \"video\", \"audio\"])\n", "\n", "    txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(\n", "        bot, chatbot, chatbot\n", "    )\n", "    txt_msg.then(lambda: gr.update(interactive=True), None, [txt], queue=False)\n", "    file_msg = btn.upload(add_file, [chatbot, btn], [chatbot], queue=False).then(\n", "        bot, chatbot, chatbot\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: 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": ["import gradio as gr\n", "import random\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", "def add_text(history, text):\n", "    history = history + [(text, None)]\n", "    return history, gr.update(value=\"\", interactive=False)\n", "\n", "\n", "def add_file(history, file):\n", "    history = history + [((file.name,), None)]\n", "    return history\n", "\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([], elem_id=\"chatbot\").style(height=750)\n", "\n", "    with gr.Row():\n", "        with gr.Column(scale=0.85):\n", "            txt = gr.Textbox(\n", "                show_label=False,\n", "                placeholder=\"Enter text and press enter, or upload an image\",\n", "            ).style(container=False)\n", "        with gr.Column(scale=0.15, min_width=0):\n", "            btn = gr.UploadButton(\"\ud83d\udcc1\", file_types=[\"image\", \"video\", \"audio\"])\n", "\n", "    txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(\n", "        bot, chatbot, chatbot\n", "    )\n", "    txt_msg.then(lambda: gr.update(interactive=True), None, [txt], queue=False)\n", "    file_msg = btn.upload(add_file, [chatbot, btn], [chatbot], queue=False).then(\n", "        bot, chatbot, chatbot\n", "    )\n", "\n", "demo.queue()\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,5 +1,8 @@
 import gradio as gr
+import random
+import time
 
+# Chatbot demo with multimodal input (text, markdown, LaTeX, code blocks, image, audio, & video). Plus shows support for streaming text.
 
 def add_text(history, text):
     history = history + [(text, None)]
@@ -13,8 +16,11 @@ def add_file(history, file):
 
 def bot(history):
     response = "**That's cool!**"
-    history[-1][1] = response
-    return history
+    history[-1][1] = ""
+    for character in response:
+        history[-1][1] += character
+        time.sleep(0.05)
+        yield history
 
 
 with gr.Blocks() as demo:
@@ -37,5 +43,6 @@ with gr.Blocks() as demo:
         bot, chatbot, chatbot
     )
 
+demo.queue()
 if __name__ == "__main__":
     demo.launch()