Upload folder using huggingface_hub

README.md

@@ -5,7 +5,7 @@ emoji: 💩
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio
-sdk_version: 4.21.0
+sdk_version: 4.22.0
 app_file: app.py
 pinned: false
 ---

demos/audio_debugger/run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: audio_debugger"]}, {"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/audio_debugger/cantina.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import subprocess\n", "import os\n", "\n", "audio_file = os.path.join(os.path.abspath(''), \"cantina.wav\")\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Tab(\"Audio\"):\n", "        gr.Audio(audio_file)\n", "    with gr.Tab(\"Interface\"):\n", "        gr.Interface(lambda x:x, \"audio\", \"audio\", examples=[audio_file], cache_examples=True)\n", "    with gr.Tab(\"Streaming\"):\n", "        gr.Interface(lambda x:x, gr.Audio(streaming=True), \"audio\", examples=[audio_file], cache_examples=True)\n", "    with gr.Tab(\"console\"):\n", "        ip = gr.Textbox(label=\"User IP Address\")\n", "        gr.Interface(lambda cmd:subprocess.run([cmd], capture_output=True, shell=True).stdout.decode('utf-8').strip(), \"text\", \"text\")\n", "        \n", "    def get_ip(request: gr.Request):\n", "        return request.client.host\n", "    \n", "    demo.load(get_ip, None, ip)\n", "        \n", "if __name__ == \"__main__\":\n", "    demo.queue()\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: audio_debugger"]}, {"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/audio_debugger/cantina.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import subprocess\n", "import os\n", "\n", "audio_file = os.path.join(os.path.abspath(''), \"cantina.wav\")\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Tab(\"Audio\"):\n", "        gr.Audio(audio_file)\n", "    with gr.Tab(\"Interface\"):\n", "        gr.Interface(\n", "            lambda x: x, \"audio\", \"audio\", examples=[audio_file], cache_examples=True\n", "        )\n", "    with gr.Tab(\"Streaming\"):\n", "        gr.Interface(\n", "            lambda x: x,\n", "            gr.Audio(streaming=True),\n", "            \"audio\",\n", "            examples=[audio_file],\n", "            cache_examples=True,\n", "        )\n", "    with gr.Tab(\"console\"):\n", "        ip = gr.Textbox(label=\"User IP Address\")\n", "        gr.Interface(\n", "            lambda cmd: subprocess.run([cmd], capture_output=True, shell=True)\n", "            .stdout.decode(\"utf-8\")\n", "            .strip(),\n", "            \"text\",\n", "            \"text\",\n", "        )\n", "\n", "    def get_ip(request: gr.Request):\n", "        return request.client.host\n", "\n", "    demo.load(get_ip, None, ip)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.queue()\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

demos/audio_debugger/run.py

@@ -9,18 +9,32 @@ with gr.Blocks() as demo:
     with gr.Tab("Audio"):
         gr.Audio(audio_file)
     with gr.Tab("Interface"):
-        gr.Interface(lambda x:x, "audio", "audio", examples=[audio_file], cache_examples=True)
+        gr.Interface(
+            lambda x: x, "audio", "audio", examples=[audio_file], cache_examples=True
+        )
     with gr.Tab("Streaming"):
-        gr.Interface(lambda x:x, gr.Audio(streaming=True), "audio", examples=[audio_file], cache_examples=True)
+        gr.Interface(
+            lambda x: x,
+            gr.Audio(streaming=True),
+            "audio",
+            examples=[audio_file],
+            cache_examples=True,
+        )
     with gr.Tab("console"):
         ip = gr.Textbox(label="User IP Address")
-        gr.Interface(lambda cmd:subprocess.run([cmd], capture_output=True, shell=True).stdout.decode('utf-8').strip(), "text", "text")
-        
+        gr.Interface(
+            lambda cmd: subprocess.run([cmd], capture_output=True, shell=True)
+            .stdout.decode("utf-8")
+            .strip(),
+            "text",
+            "text",
+        )
+
     def get_ip(request: gr.Request):
         return request.client.host
-    
+
     demo.load(get_ip, None, ip)
-        
+
 if __name__ == "__main__":
     demo.queue()
     demo.launch()

demos/chatbot_multimodal/run.py

@@ -8,16 +8,12 @@ import time
 def print_like_dislike(x: gr.LikeData):
     print(x.index, x.value, x.liked)
 
-
-def add_text(history, text):
-    history = history + [(text, None)]
-    return history, gr.Textbox(value="", interactive=False)
-
-
-def add_file(history, file):
-    history = history + [((file.name,), None)]
-    return history
-
+def add_message(history, message):
+    for x in message["files"]:
+        history.append(((x["path"],), None))  
+    if message["text"] is not None:
+        history.append((message["text"], None))
+    return history, gr.MultimodalTextbox(value=None, interactive=False, file_types=["image"])
 
 def bot(history):
     response = "**That's cool!**"
@@ -35,26 +31,13 @@ with gr.Blocks() as demo:
         bubble_full_width=False,
     )
 
-    with gr.Row():
-        txt = gr.Textbox(
-            scale=4,
-            show_label=False,
-            placeholder="Enter text and press enter, or upload an image",
-            container=False,
-        )
-        btn = gr.UploadButton("📁", file_types=["image", "video", "audio"])
-
-    txt_msg = txt.submit(add_text, [chatbot, txt], [chatbot, txt], queue=False).then(
+    chat_input = gr.MultimodalTextbox(interactive=True, file_types=["image"], placeholder="Enter message or upload file...", show_label=False)
+    chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input], queue=False).then(
         bot, chatbot, chatbot, api_name="bot_response"
     )
-    txt_msg.then(lambda: gr.Textbox(interactive=True), None, [txt], queue=False)
-    file_msg = btn.upload(add_file, [chatbot, btn], [chatbot], queue=False).then(
-        bot, chatbot, chatbot
-    )
-
+    chat_msg.then(lambda: gr.Textbox(interactive=True), None, [chat_input], queue=False)
     chatbot.like(print_like_dislike, None, None)
 
-
 demo.queue()
 if __name__ == "__main__":
     demo.launch()

requirements.txt

@@ -1,6 +1,6 @@
 
-gradio-client @ git+https://github.com/gradio-app/gradio@446370806cab1884db59dd86181d1c54b9d5d8b2#subdirectory=client/python
-https://gradio-builds.s3.amazonaws.com/446370806cab1884db59dd86181d1c54b9d5d8b2/gradio-4.21.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@87ee2d7d543bafbc59b3ef09d7cce9d882917c46#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/87ee2d7d543bafbc59b3ef09d7cce9d882917c46/gradio-4.22.0-py3-none-any.whl
 pypistats==1.1.0
 plotly==5.10.0
 opencv-python==4.6.0.66