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requirements.txt

@@ -1,3 +1,3 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@de997e67c9a7feb9e2eccebf92969366dbd67eba#subdirectory=client/python
-https://gradio-builds.s3.amazonaws.com/de997e67c9a7feb9e2eccebf92969366dbd67eba/gradio-4.39.0-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@9b42ba8f1006c05d60a62450d3036ce0d6784f86#subdirectory=client/python
+https://gradio-builds.s3.amazonaws.com/9b42ba8f1006c05d60a62450d3036ce0d6784f86/gradio-4.39.0-py3-none-any.whl
 tqdm

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: progress_component"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio tqdm"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import time \n", "\n", "def load_set(progress=gr.Progress()):\n", "    imgs = [None] * 24\n", "    for img in progress.tqdm(imgs, desc=\"Loading...\"):\n", "        time.sleep(0.1)\n", "    return \"Loaded\"\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    load = gr.Button(\"Load\")\n", "    label = gr.Label(label=\"Loader\")\n", "    load.click(load_set, outputs=label)\n", "\n", "demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: progress_component"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio tqdm"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import time\n", "\n", "def load_set(progress=gr.Progress()):\n", "    imgs = [None] * 24\n", "    for img in progress.tqdm(imgs, desc=\"Loading...\"):\n", "        time.sleep(0.1)\n", "    return \"Loaded\"\n", "\n", "with gr.Blocks() as demo:\n", "    load = gr.Button(\"Load\")\n", "    label = gr.Label(label=\"Loader\")\n", "    load.click(load_set, outputs=label)\n", "\n", "demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -1,5 +1,5 @@
 import gradio as gr
-import time 
+import time
 
 def load_set(progress=gr.Progress()):
     imgs = [None] * 24
@@ -7,10 +7,9 @@ def load_set(progress=gr.Progress()):
         time.sleep(0.1)
     return "Loaded"
 
-
 with gr.Blocks() as demo:
     load = gr.Button("Load")
     label = gr.Label(label="Loader")
     load.click(load_set, outputs=label)
 
-demo.launch()
+demo.launch()