Upload analyze_sentiment_w_gradio.ipynb

analyze_sentiment_w_gradio.ipynb

@@ -0,0 +1,142 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "MuswhH2SXxcn"
+   },
+   "outputs": [],
+   "source": [
+    "# Install required libraries\n",
+    "!pip install gradio transformers torch"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "17-gxYX7Y9NP"
+   },
+   "outputs": [],
+   "source": [
+    "# Import necessary libraries\n",
+    "import gradio as gr\n",
+    "import torch\n",
+    "from transformers import pipeline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "UlX7j4-7Y_Hl"
+   },
+   "outputs": [],
+   "source": [
+    "# Detect GPU availability and set the device\n",
+    "device = 0 if torch.cuda.is_available() else -1\n",
+    "print(f\"Using device: {'GPU' if torch.cuda.is_available() else 'CPU'}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "CQj6Q5PlZEIt"
+   },
+   "outputs": [],
+   "source": [
+    "# Load the sentiment analysis pipeline on the appropriate device\n",
+    "sentiment_pipeline = pipeline(\"sentiment-analysis\", device=device)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "1v6_XfCyfblX"
+   },
+   "outputs": [],
+   "source": [
+    "# Function to analyze sentiment\n",
+    "def analyze_sentiment(text):\n",
+    "    result = sentiment_pipeline(text)\n",
+    "    label = result[0]['label']\n",
+    "    score = result[0]['score']\n",
+    "    return f\"Sentiment: {label} (Confidence: {score:.2f})\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "bkH7BGHLZDRr"
+   },
+   "outputs": [],
+   "source": [
+    "# Define Gradio interface\n",
+    "examples = [\n",
+    "    [\"I absolutely love this new phone! The camera is amazing.\"],\n",
+    "    [\"The food was terrible, and the service was even worse.\"],\n",
+    "    [\"It's an average experience, nothing too special.\"],\n",
+    "]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "dlY15g1mXvkV"
+   },
+   "outputs": [],
+   "source": [
+    "iface = gr.Interface(\n",
+    "    fn=analyze_sentiment,\n",
+    "    inputs=gr.Textbox(label=\"Enter text\"),\n",
+    "    outputs=gr.Textbox(label=\"Sentiment Analysis Result\"),\n",
+    "    examples=examples,\n",
+    "    title=\"Sentiment Analysis App\",\n",
+    "    description=\"Enter a sentence to analyze its sentiment (Positive/Negative/Neutral).\",\n",
+    "    theme=\"compact\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "ekuCMwoSXub8"
+   },
+   "outputs": [],
+   "source": [
+    "# Launch the app\n",
+    "iface.launch()"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "provenance": []
+  },
+  "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": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}