Upload with huggingface_hub

requirements.txt

@@ -1,3 +1,3 @@
 plotly
 pypistats
-https://gradio-main-build.s3.amazonaws.com/9a259cb8d0d002b445c4a36e0b60821d8b1ca052/gradio-3.14.0-py3-none-any.whl
+https://gradio-main-build.s3.amazonaws.com/0879f0a296604893f195429611b8c7484d81ad0a/gradio-3.14.0-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: blocks_multiple_event_triggers"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio plotly pypistats"]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import pypistats\n", "from datetime import date\n", "from dateutil.relativedelta import relativedelta\n", "import pandas as pd\n", "\n", "pd.options.plotting.backend = \"plotly\"\n", "\n", "\n", "def get_plot(lib, time):\n", "    data = pypistats.overall(lib, total=True, format=\"pandas\")\n", "    data = data.groupby(\"category\").get_group(\"with_mirrors\").sort_values(\"date\")\n", "    start_date = date.today() - relativedelta(months=int(time.split(\" \")[0]))\n", "    data = data[(data['date'] > str(start_date))]\n", "    chart = data.plot(x=\"date\", y=\"downloads\")\n", "    return chart\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    gr.Markdown(\n", "        \"\"\"\n", "        ## Pypi Download Stats \ud83d\udcc8\n", "        See live download stats for all of Hugging Face's open-source libraries \ud83e\udd17\n", "        \"\"\")\n", "    with gr.Row():\n", "        lib = gr.Dropdown([\"transformers\", \"datasets\", \"huggingface-hub\", \"gradio\", \"accelerate\"], label=\"Library\")\n", "        time = gr.Dropdown([\"3 months\", \"6 months\", \"9 months\", \"12 months\"], label=\"Downloads over the last...\")\n", "\n", "    plt = gr.Plot()\n", "    # You can add multiple event triggers in 2 lines like this\n", "    for event in [lib.change, time.change]:\n", "        event(get_plot, [lib, time], [plt])\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: blocks_multiple_event_triggers"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio plotly pypistats"]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import pypistats\n", "from datetime import date\n", "from dateutil.relativedelta import relativedelta\n", "import pandas as pd\n", "\n", "def get_plot(lib, time):\n", "    data = pypistats.overall(lib, total=True, format=\"pandas\")\n", "    data = data.groupby(\"category\").get_group(\"with_mirrors\").sort_values(\"date\")\n", "    start_date = date.today() - relativedelta(months=int(time.split(\" \")[0]))\n", "    data = data[(data['date'] > str(start_date))]\n", "    data.date = pd.to_datetime(pd.to_datetime(data.date))\n", "    return gr.LinePlot.update(value=data, x=\"date\", y=\"downloads\",\n", "                              tooltip=['date', 'downloads'],\n", "                              title=f\"Pypi downloads of {lib} over last {time}\",\n", "                              overlay_point=True,\n", "                              height=400,\n", "                              width=900)\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    gr.Markdown(\n", "        \"\"\"\n", "        ## Pypi Download Stats \ud83d\udcc8\n", "        See live download stats for all of Hugging Face's open-source libraries \ud83e\udd17\n", "        \"\"\")\n", "    with gr.Row():\n", "        lib = gr.Dropdown([\"transformers\", \"datasets\", \"huggingface-hub\", \"gradio\", \"accelerate\"],\n", "                          value=\"gradio\", label=\"Library\")\n", "        time = gr.Dropdown([\"3 months\", \"6 months\", \"9 months\", \"12 months\"],\n", "                           value=\"3 months\", label=\"Downloads over the last...\")\n", "\n", "    plt = gr.LinePlot()\n", "    # You can add multiple event triggers in 2 lines like this\n", "    for event in [lib.change, time.change, demo.load]:\n", "        event(get_plot, [lib, time], [plt])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -4,16 +4,18 @@ from datetime import date
 from dateutil.relativedelta import relativedelta
 import pandas as pd
 
-pd.options.plotting.backend = "plotly"
-
-
 def get_plot(lib, time):
     data = pypistats.overall(lib, total=True, format="pandas")
     data = data.groupby("category").get_group("with_mirrors").sort_values("date")
     start_date = date.today() - relativedelta(months=int(time.split(" ")[0]))
     data = data[(data['date'] > str(start_date))]
-    chart = data.plot(x="date", y="downloads")
-    return chart
+    data.date = pd.to_datetime(pd.to_datetime(data.date))
+    return gr.LinePlot.update(value=data, x="date", y="downloads",
+                              tooltip=['date', 'downloads'],
+                              title=f"Pypi downloads of {lib} over last {time}",
+                              overlay_point=True,
+                              height=400,
+                              width=900)
 
 
 with gr.Blocks() as demo:
@@ -23,12 +25,14 @@ with gr.Blocks() as demo:
         See live download stats for all of Hugging Face's open-source libraries 🤗
         """)
     with gr.Row():
-        lib = gr.Dropdown(["transformers", "datasets", "huggingface-hub", "gradio", "accelerate"], label="Library")
-        time = gr.Dropdown(["3 months", "6 months", "9 months", "12 months"], label="Downloads over the last...")
+        lib = gr.Dropdown(["transformers", "datasets", "huggingface-hub", "gradio", "accelerate"],
+                          value="gradio", label="Library")
+        time = gr.Dropdown(["3 months", "6 months", "9 months", "12 months"],
+                           value="3 months", label="Downloads over the last...")
 
-    plt = gr.Plot()
+    plt = gr.LinePlot()
     # You can add multiple event triggers in 2 lines like this
-    for event in [lib.change, time.change]:
+    for event in [lib.change, time.change, demo.load]:
         event(get_plot, [lib, time], [plt])
 
 if __name__ == "__main__":