test

app.ipynb

@@ -1,26 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import gradio as gr\n",
-    "\n",
-    "def greet(name):\n",
-    "    return \"Hello \" + name + \"!\"\n",
-    "\n",
-    "demo = gr.Interface(fn=greet, inputs=\"text\", outputs=\"text\")\n",
-    "demo.launch()   "
-   ]
-  }
- ],
- "metadata": {
-  "language_info": {
-   "name": "python"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}

app.py

@@ -0,0 +1,7 @@
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!"
+
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo.launch()   

requirements.txt

@@ -0,0 +1,4 @@
+opencv-python
+huggingface_hub
+ultralytics
+supervision

test.py

@@ -0,0 +1,21 @@
+%pip install -r requirements.txt
+%pip install gradio
+
+import gradio as gr
+import numpy as np
+
+def sepia(input_img):
+    sepia_filter - np.array([
+        [0.393, 0.769, 0.189],
+        [0.349, 0.686, 0.168],
+        [0.272, 0.534, 0.131]
+    ])
+    sepia_img = input_img.dot(sepia_filter.T)
+    sepia_img /= sepia_img.max()
+    return sepia_img
+
+demo = gr.Interface(sepia, gr.Image(), "Image")
+
+if __name__ == "__main__":
+    demo.launch()
+