From 18a873c1c9b84207c147f359e84d46d0e2aa902e Mon Sep 17 00:00:00 2001
From: Pradip Nichite <prnichite@gmail.com>
Date: Mon, 31 Oct 2022 23:32:16 +0530
Subject: [PATCH] Created using Colaboratory

---
 Youtube_Huggingface_Inference_API.ipynb | 209 ++++++++++++++++++++++++
 1 file changed, 209 insertions(+)
 create mode 100644 Youtube_Huggingface_Inference_API.ipynb

diff --git a/Youtube_Huggingface_Inference_API.ipynb b/Youtube_Huggingface_Inference_API.ipynb
new file mode 100644
index 0000000..b43a511
--- /dev/null
+++ b/Youtube_Huggingface_Inference_API.ipynb
@@ -0,0 +1,209 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "collapsed_sections": [],
+      "authorship_tag": "ABX9TyM+cc5cEWHoYFLe1dezcv7b",
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/PradipNichite/Youtube-Tutorials/blob/main/Youtube_Huggingface_Inference_API.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "hEtwUU9bQBk8",
+        "outputId": "a90f34bc-3be5-4384-e194-29269dcc38dc"
+      },
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[[{'label': 'LABEL_0', 'score': 0.002866477705538273},\n",
+              "  {'label': 'LABEL_1', 'score': 0.018881773576140404},\n",
+              "  {'label': 'LABEL_2', 'score': 0.9782518148422241}]]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 1
+        }
+      ],
+      "source": [
+        "import requests\n",
+        "\n",
+        "API_URL = \"https://api-inference.huggingface.co/models/cardiffnlp/twitter-roberta-base-sentiment\"\n",
+        "headers = {\"Authorization\": \"Bearer hf_EriWcQYZIQNwIbfeXGfJslkA\"}\n",
+        "\n",
+        "def query(payload):\n",
+        "\tresponse = requests.post(API_URL, headers=headers, json=payload)\n",
+        "\treturn response.json()\n",
+        "\t\n",
+        "output = query({\n",
+        "\t\"inputs\": \"I like you. I love you\",\n",
+        "})\n",
+        "output"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "output[0]"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "ghCkb5hqQIE4",
+        "outputId": "5759f587-c38c-440f-9104-e5b3fae8fdfd"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[{'label': 'LABEL_0', 'score': 0.002866477705538273},\n",
+              " {'label': 'LABEL_1', 'score': 0.018881773576140404},\n",
+              " {'label': 'LABEL_2', 'score': 0.9782518148422241}]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 2
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "sorted_output = sorted(output[0], key=lambda d: d['score'],reverse=True) \n",
+        "sorted_output"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "_HJq0eZ-QOFX",
+        "outputId": "8d93b040-1c25-4046-b1cf-20e8a0e41fb2"
+      },
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[{'label': 'LABEL_2', 'score': 0.9782518148422241},\n",
+              " {'label': 'LABEL_1', 'score': 0.018881773576140404},\n",
+              " {'label': 'LABEL_0', 'score': 0.002866477705538273}]"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 3
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "prediction = sorted_output[0]\n",
+        "prediction"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "GxO7pU4qRVvo",
+        "outputId": "75a0837e-f6d5-4303-c4f5-80fd91fce837"
+      },
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "{'label': 'LABEL_2', 'score': 0.9782518148422241}"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 4
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "label_mapping = {\n",
+        "    'LABEL_0':'Negative',\n",
+        "    'LABEL_1':'Neutral',\n",
+        "    'LABEL_2':'Positive'\n",
+        "}"
+      ],
+      "metadata": {
+        "id": "EOvTojxaQzsx"
+      },
+      "execution_count": 5,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "label_mapping[prediction['label']]"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 35
+        },
+        "id": "l4yngO4DRSeC",
+        "outputId": "c7f51237-18fa-4bc6-9da5-b7d6014c21ce"
+      },
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "'Positive'"
+            ],
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "string"
+            }
+          },
+          "metadata": {},
+          "execution_count": 6
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "3G7Z-ePnRdBQ"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file