gradio examples

app.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/mks/.local/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext gradio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7860\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%blocks \n",
+    "\n",
+    "import gradio as gr\n",
+    "\n",
+    "gr.Markdown(\"# Greetings from Gradio!\")\n",
+    "inp = gr.Textbox(placeholder=\"What is your name?\")\n",
+    "out = gr.Textbox()\n",
+    "\n",
+    "inp.change(fn=lambda x: f\"Welcome, {x}!\", \n",
+    "           inputs=inp, \n",
+    "           outputs=out)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/mks/.local/lib/python3.10/site-packages/gradio/ipython_ext.py:18: UserWarning: Usage of gradio.Interface with %%blocks may result in errors.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7861\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7861/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7860\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%%blocks \n",
+    "def greet(name):\n",
+    "    return \"Hello \" + name + \"!\"\n",
+    "\n",
+    "demo = gr.Interface(fn=greet, inputs=\"text\", outputs=\"text\")\n",
+    "    \n",
+    "demo.launch()  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7863\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7863/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import gradio as gr\n",
+    "\n",
+    "def greet(name):\n",
+    "    return \"Hello \" + name + \"!\"\n",
+    "\n",
+    "demo = gr.Interface(\n",
+    "    fn=greet,\n",
+    "    inputs=gr.Textbox(lines=4, placeholder=\"Name Here...\"),\n",
+    "    outputs=\"text\",\n",
+    ")\n",
+    "demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7869\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7869/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import gradio as gr\n",
+    "\n",
+    "def greet(yourname, is_morning, temperature):\n",
+    "    salutation = \"Good morning\" if is_morning else \"Good evening\"\n",
+    "    greeting = f\"{salutation} {name}. It is {temperature} degrees Fahrenheit today.\"\n",
+    "    celsius = (temperature - 32) * 5 / 9\n",
+    "    return greeting, round(celsius, 2)\n",
+    "\n",
+    "demo = gr.Interface(\n",
+    "    fn=greet,\n",
+    "    inputs=[\"text\", \"checkbox\", gr.Slider(-50, 100)],\n",
+    "    outputs=[\"text\", \"number\"],\n",
+    ")\n",
+    "demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7870\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7870/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import gradio as gr\n",
+    "\n",
+    "def sepia(input_img):\n",
+    "    sepia_filter = np.array([\n",
+    "        [0.393, 0.769, 0.189], \n",
+    "        [0.349, 0.686, 0.168], \n",
+    "        [0.272, 0.534, 0.131]\n",
+    "    ])\n",
+    "    sepia_img = input_img.dot(sepia_filter.T)\n",
+    "    sepia_img /= sepia_img.max()\n",
+    "    return sepia_img\n",
+    "\n",
+    "demo = gr.Interface(sepia, gr.Image(shape=(200, 200)), \"image\")\n",
+    "demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7871\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7871/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import gradio as gr\n",
+    "\n",
+    "def greet(name):\n",
+    "    return \"Hello \" + name + \"!\"\n",
+    "\n",
+    "with gr.Blocks() as demo:\n",
+    "    name = gr.Textbox(label=\"Name\")\n",
+    "    output = gr.Textbox(label=\"Output Box\")\n",
+    "    greet_btn = gr.Button(\"Greet\")\n",
+    "    greet_btn.click(fn=greet, inputs=name, outputs=output, api_name=\"greet\")\n",
+    "\n",
+    "demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7872\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7872/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": []
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import gradio as gr\n",
+    "\n",
+    "\n",
+    "def flip_text(x):\n",
+    "    return x[::-1]\n",
+    "\n",
+    "\n",
+    "def flip_image(x):\n",
+    "    return np.fliplr(x)\n",
+    "\n",
+    "\n",
+    "with gr.Blocks() as demo:\n",
+    "    gr.Markdown(\"Flip text or image files using this demo.\")\n",
+    "    with gr.Tab(\"Flip Text\"):\n",
+    "        text_input = gr.Textbox()\n",
+    "        text_output = gr.Textbox()\n",
+    "        text_button = gr.Button(\"Flip\")\n",
+    "    with gr.Tab(\"Flip Image\"):\n",
+    "        with gr.Row():\n",
+    "            image_input = gr.Image()\n",
+    "            image_output = gr.Image()\n",
+    "        image_button = gr.Button(\"Flip\")\n",
+    "\n",
+    "    with gr.Accordion(\"Open for More!\"):\n",
+    "        gr.Markdown(\"Look at me...\")\n",
+    "\n",
+    "    text_button.click(flip_text, inputs=text_input, outputs=text_output)\n",
+    "    image_button.click(flip_image, inputs=image_input, outputs=image_output)\n",
+    "\n",
+    "demo.launch()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.6"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}