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/ed5178acd3c9bba710410b1ee6c009b4c314a0e6/gradio-3.35.2-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: chatbot_streaming"]}, {"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", "with gr.Blocks() as demo:\n", "    chatbot = gr.Chatbot()\n", "    msg = gr.Textbox()\n", "    clear = gr.ClearButton([msg, chatbot])\n", "\n", "    def user(user_message, history):\n", "        return gr.update(value=\"\", interactive=False), history + [[user_message, None]]\n", "\n", "    def bot(history):\n", "        bot_message = random.choice([\"How are you?\", \"I love you\", \"I'm very hungry\"])\n", "        history[-1][1] = \"\"\n", "        for character in bot_message:\n", "            history[-1][1] += character\n", "            time.sleep(0.05)\n", "            yield history\n", "\n", "    response = msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(\n", "        bot, chatbot, chatbot\n", "    )\n", "    response.then(lambda: gr.update(interactive=True), None, [msg], queue=False)\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_streaming"]}, {"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", "with gr.Blocks() as demo:\n", "    chatbot = gr.Chatbot()\n", "    msg = gr.Textbox()\n", "    clear = gr.Button(\"Clear\")\n", "\n", "    def user(user_message, history):\n", "        return \"\", history + [[user_message, None]]\n", "\n", "    def bot(history):\n", "        bot_message = random.choice([\"How are you?\", \"I love you\", \"I'm very hungry\"])\n", "        history[-1][1] = \"\"\n", "        for character in bot_message:\n", "            history[-1][1] += character\n", "            time.sleep(0.05)\n", "            yield history\n", "\n", "    msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(\n", "        bot, chatbot, chatbot\n", "    )\n", "    clear.click(lambda: None, None, chatbot, queue=False)\n", "    \n", "demo.queue()\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -5,10 +5,10 @@ import time
 with gr.Blocks() as demo:
     chatbot = gr.Chatbot()
     msg = gr.Textbox()
-    clear = gr.ClearButton([msg, chatbot])
+    clear = gr.Button("Clear")
 
     def user(user_message, history):
-        return gr.update(value="", interactive=False), history + [[user_message, None]]
+        return "", history + [[user_message, None]]
 
     def bot(history):
         bot_message = random.choice(["How are you?", "I love you", "I'm very hungry"])
@@ -18,11 +18,11 @@ with gr.Blocks() as demo:
             time.sleep(0.05)
             yield history
 
-    response = msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
+    msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
         bot, chatbot, chatbot
     )
-    response.then(lambda: gr.update(interactive=True), None, [msg], queue=False)
-
+    clear.click(lambda: None, None, chatbot, queue=False)
+    
 demo.queue()
 if __name__ == "__main__":
     demo.launch()