Merge pull request #20 from dkedar7/docs

[New example] Translate to multiple languages

docs/Examples/01_simple_text_to_text.ipynb

@@ -0,0 +1,73 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1cb94cfb",
+   "metadata": {},
+   "source": [
+    "[![Open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/dkedar7/fast_dash/blob/release/docs/Examples/01_simple_text_to_text.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ce363e40",
+   "metadata": {},
+   "source": [
+    "This notebook is optimized to run in Google Colab."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "15601ea1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# !pip install fast-dash jupyter_dash"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "512fe61d-7889-4c5b-90bc-c7284e87f28f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from fast_dash import fastdash"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "e6b45553-4509-4662-b6bc-248779bd554e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@fastdash(mode='inline', port=5000)\n",
+    "def text_to_text_function(input_text):\n",
+    "    return input_text"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "fastdash_docs",
+   "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": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

docs/Examples/02_translate_to_multiple_languages.ipynb

@@ -0,0 +1,95 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1cb94cfb",
+   "metadata": {},
+   "source": [
+    "[![Open in colab](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/dkedar7/fast_dash/blob/release/docs/Examples/02_translate_to_multiple_languages.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ce363e40",
+   "metadata": {},
+   "source": [
+    "This notebook is optimized to run in Google Colab."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "15601ea1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install fast-dash jupyter_dash"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "2f402652",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "# This demo uses Huffing Face API inference. To use this, get your token from https://huggingface.co/settings/tokens and paste it below.\n",
+    "import os\n",
+    "os.environ[\"HF_TOKEN\"] = \"hf_xxxxxxxxxxxxxxxxxxxxxxxxxxx\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "9153b0d3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from fast_dash import fastdash\n",
+    "import requests\n",
+    "\n",
+    "API_URL = \"https://api-inference.huggingface.co/models/t5-base\"\n",
+    "headers = {\"Authorization\": f\"Bearer {os.environ.get('HF_TOKEN')}\"}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "99030b06",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "@fastdash(mode='inline', port=5000)\n",
+    "def translate_to_multiple_languages(text: str = \"Translate this text to another language\", language: str = [\"German\", \"French\", \"Romanian\"]):\n",
+    "    \"Uses  the T5 Base model from Hugging Face. May give incorrect results.\"\n",
+    "\t\n",
+    "    payload = {\"inputs\": f\"translate English to {language}: {text}\"}\n",
+    "    response = requests.post(API_URL, headers=headers, json=payload)\n",
+    "    translation = response.json()[0]['translation_text'] if 'translation_text' in response.json()[0] else str(response.json())\n",
+    "    return translation"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "fastdash_docs",
+   "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": "3.9.16"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}