Upload folder using huggingface_hub

README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Plot Guide Datetimerange
-emoji: 🚀
-colorFrom: gray
+title: plot_guide_datetimerange 
+emoji: 🔥
+colorFrom: indigo
 colorTo: indigo
 sdk: gradio
 sdk_version: 4.39.0
-app_file: app.py
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

data.py

@@ -0,0 +1,13 @@
+import pandas as pd
+import numpy as np
+import random
+from datetime import datetime, timedelta
+
+now = datetime.now()
+
+df = pd.DataFrame({
+    'time': [now - timedelta(minutes=5*i) for i in range(25)],
+    'price': np.random.randint(100, 1000, 25),
+    'origin': [random.choice(["DFW", "DAL", "HOU"]) for _ in range(25)],
+    'destination': [random.choice(["JFK", "LGA", "EWR"]) for _ in range(25)],
+})

requirements.txt

@@ -0,0 +1 @@
+gradio_datetimerange

run.ipynb

@@ -0,0 +1 @@
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: plot_guide_datetimerange"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio gradio_datetimerange"]}, {"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/plot_guide_datetimerange/data.py"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "from gradio_datetimerange import DateTimeRange\n", "from data import df\n", "\n", "with gr.Blocks() as demo:\n", "    daterange = DateTimeRange([\"now - 24h\", \"now\"])\n", "    plot1 = gr.LinePlot(df, x=\"time\", y=\"price\")\n", "    plot2 = gr.LinePlot(df, x=\"time\", y=\"price\", color=\"origin\")\n", "    daterange.bind([plot1, plot2])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -0,0 +1,12 @@
+import gradio as gr
+from gradio_datetimerange import DateTimeRange
+from data import df
+
+with gr.Blocks() as demo:
+    daterange = DateTimeRange(["now - 24h", "now"])
+    plot1 = gr.LinePlot(df, x="time", y="price")
+    plot2 = gr.LinePlot(df, x="time", y="price", color="origin")
+    daterange.bind([plot1, plot2])
+
+if __name__ == "__main__":
+    demo.launch()