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README.md

@@ -1,12 +1,11 @@
+
 ---
-title: Progress Main
-emoji: 🏃
-colorFrom: green
-colorTo: purple
+title: progress_main 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 3.15.0
-app_file: app.py
+app_file: run.py
 pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,3 @@
+tqdm
+datasets
+https://gradio-main-build.s3.amazonaws.com/d77b0702d1a0d2caeebf76305cffedfa3492dc3a/gradio-3.15.0-py3-none-any.whl

run.ipynb

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+{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: progress"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio tqdm datasets"]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import random\n", "import time\n", "import tqdm\n", "from datasets import load_dataset\n", "import shutil\n", "from uuid import uuid4\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Row():\n", "        text = gr.Textbox()\n", "        textb = gr.Textbox()\n", "    with gr.Row():\n", "        load_set_btn = gr.Button(\"Load Set\")\n", "        load_nested_set_btn = gr.Button(\"Load Nested Set\")\n", "        load_random_btn = gr.Button(\"Load Random\")\n", "        clean_imgs_btn = gr.Button(\"Clean Images\")\n", "        wait_btn = gr.Button(\"Wait\")\n", "        do_all_btn = gr.Button(\"Do All\")\n", "        track_tqdm_btn = gr.Button(\"Bind TQDM\")\n", "        bind_internal_tqdm_btn = gr.Button(\"Bind Internal TQDM\")\n", "\n", "    text2 = gr.Textbox()\n", "\n", "    # track list\n", "    def load_set(text, text2, progress=gr.Progress()):\n", "        imgs = [None] * 24\n", "        for img in progress.tqdm(imgs, desc=\"Loading from list\"):\n", "            time.sleep(0.1)\n", "        return \"done\"\n", "    load_set_btn.click(load_set, [text, textb], text2)\n", "\n", "    # track nested list\n", "    def load_nested_set(text, text2, progress=gr.Progress()):\n", "        imgs = [[None] * 8] * 3\n", "        for img_set in progress.tqdm(imgs, desc=\"Nested list\"):\n", "            time.sleep(2)\n", "            for img in progress.tqdm(img_set, desc=\"inner list\"):\n", "                time.sleep(0.1)\n", "        return \"done\"\n", "    load_nested_set_btn.click(load_nested_set, [text, textb], text2)\n", "\n", "    # track iterable of unknown length\n", "    def load_random(data, progress=gr.Progress()):\n", "        def yielder():\n", "            for i in range(0, random.randint(15, 20)):\n", "                time.sleep(0.1)\n", "                yield None\n", "        for img in progress.tqdm(yielder()):\n", "            pass\n", "        return \"done\"\n", "    load_random_btn.click(load_random, {text, textb}, text2)\n", "        \n", "    # manual progress\n", "    def clean_imgs(text, progress=gr.Progress()):\n", "        progress(0.2, desc=\"Collecting Images\")\n", "        time.sleep(1)\n", "        progress(0.5, desc=\"Cleaning Images\")\n", "        time.sleep(1.5)\n", "        progress(0.8, desc=\"Sending Images\")\n", "        time.sleep(1.5)\n", "        return \"done\"\n", "    clean_imgs_btn.click(clean_imgs, text, text2)\n", "\n", "    # no progress\n", "    def wait(text):\n", "        time.sleep(4)\n", "        return \"done\"\n", "    wait_btn.click(wait, text, text2)\n", "\n", "    # multiple progressions\n", "    def do_all(data, progress=gr.Progress()):\n", "        load_set(data[text], data[textb], progress)\n", "        load_random(data, progress)\n", "        clean_imgs(data[text], progress)\n", "        progress(None)\n", "        wait(text)\n", "        return \"done\"\n", "    do_all_btn.click(do_all, {text, textb}, text2)\n", "\n", "    def track_tqdm(data, progress=gr.Progress(track_tqdm=True)):\n", "        for i in tqdm.tqdm(range(5), desc=\"outer\"):\n", "            for j in tqdm.tqdm(range(4), desc=\"inner\"):\n", "                time.sleep(1)\n", "        return \"done\"\n", "    track_tqdm_btn.click(track_tqdm, {text, textb}, text2)\n", "\n", "    def bind_internal_tqdm(data, progress=gr.Progress(track_tqdm=True)):\n", "        outdir = \"__tmp/\" + str(uuid4())\n", "        dataset = load_dataset(\"beans\", split=\"train\", cache_dir=outdir)\n", "        shutil.rmtree(outdir)\n", "        return \"done\"\n", "    bind_internal_tqdm_btn.click(bind_internal_tqdm, {text, textb}, text2)\n", "\n", "\n", "if __name__ == \"__main__\":\n", "    demo.queue(concurrency_count=20).launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -0,0 +1,97 @@
+import gradio as gr
+import random
+import time
+import tqdm
+from datasets import load_dataset
+import shutil
+from uuid import uuid4
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        text = gr.Textbox()
+        textb = gr.Textbox()
+    with gr.Row():
+        load_set_btn = gr.Button("Load Set")
+        load_nested_set_btn = gr.Button("Load Nested Set")
+        load_random_btn = gr.Button("Load Random")
+        clean_imgs_btn = gr.Button("Clean Images")
+        wait_btn = gr.Button("Wait")
+        do_all_btn = gr.Button("Do All")
+        track_tqdm_btn = gr.Button("Bind TQDM")
+        bind_internal_tqdm_btn = gr.Button("Bind Internal TQDM")
+
+    text2 = gr.Textbox()
+
+    # track list
+    def load_set(text, text2, progress=gr.Progress()):
+        imgs = [None] * 24
+        for img in progress.tqdm(imgs, desc="Loading from list"):
+            time.sleep(0.1)
+        return "done"
+    load_set_btn.click(load_set, [text, textb], text2)
+
+    # track nested list
+    def load_nested_set(text, text2, progress=gr.Progress()):
+        imgs = [[None] * 8] * 3
+        for img_set in progress.tqdm(imgs, desc="Nested list"):
+            time.sleep(2)
+            for img in progress.tqdm(img_set, desc="inner list"):
+                time.sleep(0.1)
+        return "done"
+    load_nested_set_btn.click(load_nested_set, [text, textb], text2)
+
+    # track iterable of unknown length
+    def load_random(data, progress=gr.Progress()):
+        def yielder():
+            for i in range(0, random.randint(15, 20)):
+                time.sleep(0.1)
+                yield None
+        for img in progress.tqdm(yielder()):
+            pass
+        return "done"
+    load_random_btn.click(load_random, {text, textb}, text2)
+        
+    # manual progress
+    def clean_imgs(text, progress=gr.Progress()):
+        progress(0.2, desc="Collecting Images")
+        time.sleep(1)
+        progress(0.5, desc="Cleaning Images")
+        time.sleep(1.5)
+        progress(0.8, desc="Sending Images")
+        time.sleep(1.5)
+        return "done"
+    clean_imgs_btn.click(clean_imgs, text, text2)
+
+    # no progress
+    def wait(text):
+        time.sleep(4)
+        return "done"
+    wait_btn.click(wait, text, text2)
+
+    # multiple progressions
+    def do_all(data, progress=gr.Progress()):
+        load_set(data[text], data[textb], progress)
+        load_random(data, progress)
+        clean_imgs(data[text], progress)
+        progress(None)
+        wait(text)
+        return "done"
+    do_all_btn.click(do_all, {text, textb}, text2)
+
+    def track_tqdm(data, progress=gr.Progress(track_tqdm=True)):
+        for i in tqdm.tqdm(range(5), desc="outer"):
+            for j in tqdm.tqdm(range(4), desc="inner"):
+                time.sleep(1)
+        return "done"
+    track_tqdm_btn.click(track_tqdm, {text, textb}, text2)
+
+    def bind_internal_tqdm(data, progress=gr.Progress(track_tqdm=True)):
+        outdir = "__tmp/" + str(uuid4())
+        dataset = load_dataset("beans", split="train", cache_dir=outdir)
+        shutil.rmtree(outdir)
+        return "done"
+    bind_internal_tqdm_btn.click(bind_internal_tqdm, {text, textb}, text2)
+
+
+if __name__ == "__main__":
+    demo.queue(concurrency_count=20).launch()