{"cells":[{"cell_type":"markdown","metadata":{"id":"Wf5KrEb6vrkR"},"source":["# Welcome to Colab!"]},{"cell_type":"markdown","metadata":{"id":"C1XfGyQXQK1n"},"source":["## Access popular AI models via Google-Colab-AI Without an API Key\n","All users have access to most popular LLMs via the `google-colab-ai` Python library, and paid users have access to a wider selection of models. For more details, refer to the [getting started with google colab ai](https://colab.research.google.com/github/googlecolab/colabtools/blob/main/notebooks/Getting_started_with_google_colab_ai.ipynb).\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"JQesyTg7QSU-"},"outputs":[],"source":["from google.colab import ai\n","response = ai.generate_text(\"What is the capital of France?\")\n","print(response)"]},{"cell_type":"markdown","metadata":{"id":"-sdyeRMXPvU_"},"source":["## Explore the Gemini API\n","The Gemini API gives you access to Gemini models created by Google DeepMind. Gemini models are built from the ground up to be multimodal, so you can reason seamlessly across text, images, code, and audio.\n","\n","**How to get started?**\n","* Go to [Google AI Studio](https://aistudio.google.com/) and log in with your Google account.\n","* [Create an API key](https://aistudio.google.com/app/apikey).\n","* Use a quickstart for [Python](https://colab.research.google.com/github/google-gemini/cookbook/blob/main/quickstarts/Get_started.ipynb), or call the REST API using [curl](https://colab.research.google.com/github/google-gemini/cookbook/blob/main/quickstarts/rest/Prompting_REST.ipynb).\n","\n","**Discover Gemini's advanced capabilities**\n","* Play with Gemini [multimodal outputs](https://colab.research.google.com/github/google-gemini/cookbook/blob/main/quickstarts/Image-out.ipynb), mixing text and images in an iterative way.\n","* Discover the [multimodal Live API](https://colab.research.google.com/github/google-gemini/cookbook/blob/main/quickstarts/Get_started_LiveAPI.ipynb ) (demo [here](https://aistudio.google.com/live)).\n","* Learn how to [analyze images and detect items in your pictures](https://colab.research.google.com/github/google-gemini/cookbook/blob/main/quickstarts/Spatial_understanding.ipynb\") using Gemini (bonus, there's a [3D version](https://colab.research.google.com/github/google-gemini/cookbook/blob/main/examples/Spatial_understanding_3d.ipynb) as well!).\n","* Unlock the power of [Gemini thinking model](https://colab.research.google.com/github/google-gemini/cookbook/blob/main/quickstarts/Get_started_thinking.ipynb), capable of solving complex task with its inner thoughts.\n"," \n","**Explore complex use cases**\n","* Use [Gemini grounding capabilities](https://colab.research.google.com/github/google-gemini/cookbook/blob/main/examples/Search_grounding_for_research_report.ipynb) to create a report on a company based on what the model can find on internet.\n","* Extract [invoices and form data from PDF](https://colab.research.google.com/github/google-gemini/cookbook/blob/main/examples/Pdf_structured_outputs_on_invoices_and_forms.ipynb) in a structured way.\n","* Create [illustrations based on a whole book](https://colab.research.google.com/github/google-gemini/cookbook/blob/main/examples/Book_illustration.ipynb) using Gemini large context window and Imagen.\n","\n","To learn more, check out the [Gemini cookbook](https://github.com/google-gemini/cookbook) or visit the [Gemini API documentation](https://ai.google.dev/docs/).\n"]},{"cell_type":"markdown","metadata":{"id":"Nma_JWh-W-IF"},"source":["Colab now has AI features powered by [Gemini](https://gemini.google.com). The video below provides information on how to use these features, whether you're new to Python, or a seasoned veteran.\n","\n","
\n","\n","Colab, or \"Colaboratory\", allows you to write and execute Python in your browser, with\n","- Zero configuration required\n","- Access to GPUs free of charge\n","- Easy sharing\n","\n","Whether you're a **student**, a **data scientist** or an **AI researcher**, Colab can make your work easier. Watch [Introduction to Colab](https://www.youtube.com/watch?v=inN8seMm7UI) or [Colab Features You May Have Missed](https://www.youtube.com/watch?v=rNgswRZ2C1Y) to learn more, or just get started below!"]},{"cell_type":"markdown","metadata":{"id":"GJBs_flRovLc"},"source":["
\n","\n","## **Getting started**\n","
\n","\n","The document you are reading is not a static web page, but an interactive environment called a **Colab notebook** that lets you write and execute code.\n","\n","For example, here is a **code cell** with a short Python script that computes a value, stores it in a variable, and prints the result:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"gJr_9dXGpJ05","outputId":"beb4aaca-6eac-4b30-f2ff-ea4308968122"},"outputs":[{"data":{"text/plain":["86400"]},"execution_count":null,"metadata":{},"output_type":"execute_result"}],"source":["seconds_in_a_day = 24 * 60 * 60\n","seconds_in_a_day"]},{"cell_type":"markdown","metadata":{"id":"2fhs6GZ4qFMx"},"source":["To execute the code in the above cell, select it with a click and then either press the play button to the left of the code, or use the keyboard shortcut \"Command/Ctrl+Enter\". To edit the code, just click the cell and start editing.\n","\n","Variables that you define in one cell can later be used in other cells:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-gE-Ez1qtyIA","outputId":"e8f0c2b1-3c1e-4476-f8c2-d8f31cdb5e75"},"outputs":[{"data":{"text/plain":["604800"]},"execution_count":null,"metadata":{},"output_type":"execute_result"}],"source":["seconds_in_a_week = 7 * seconds_in_a_day\n","seconds_in_a_week"]},{"cell_type":"markdown","metadata":{"id":"lSrWNr3MuFUS"},"source":["Colab notebooks allow you to combine **executable code** and **rich text** in a single document, along with **images**, **HTML**, **LaTeX** and more. When you create your own Colab notebooks, they are stored in your Google Drive account. You can easily share your Colab notebooks with co-workers or friends, allowing them to comment on your notebooks or even edit them. To learn more, see [Overview of Colab](/notebooks/basic_features_overview.ipynb). To create a new Colab notebook you can use the File menu above, or use the following link: [create a new Colab notebook](http://colab.research.google.com#create=true).\n","\n","Colab notebooks are Jupyter notebooks that are hosted by Colab. To learn more about the Jupyter project, see [jupyter.org](https://www.jupyter.org)."]},{"cell_type":"markdown","metadata":{"id":"UdRyKR44dcNI"},"source":["
\n","\n","## Data science\n","
\n","\n","With Colab you can harness the full power of popular Python libraries to analyze and visualize data. The code cell below uses **numpy** to generate some random data, and uses **matplotlib** to visualize it. To edit the code, just click the cell and start editing."]},{"cell_type":"markdown","metadata":{"id":"4_kCnsPUqS6o"},"source":["You can import your own data into Colab notebooks from your Google Drive account, including from spreadsheets, as well as from Github and many other sources. To learn more about importing data, and how Colab can be used for data science, see the links below under [Working with Data](#working-with-data)."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"height":249},"id":"C4HZx7Gndbrh","outputId":"65838ba2-0ea9-41b7-e3f9-a725be449d3b"},"outputs":[{"data":{"text/markdown":[""],"text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["import numpy as np\n","import IPython.display as display\n","from matplotlib import pyplot as plt\n","import io\n","import base64\n","\n","ys = 200 + np.random.randn(100)\n","x = [x for x in range(len(ys))]\n","\n","fig = plt.figure(figsize=(4, 3), facecolor='w')\n","plt.plot(x, ys, '-')\n","plt.fill_between(x, ys, 195, where=(ys > 195), facecolor='g', alpha=0.6)\n","plt.title(\"Sample Visualization\", fontsize=10)\n","\n","data = io.BytesIO()\n","plt.savefig(data)\n","image = F\"data:image/png;base64,{base64.b64encode(data.getvalue()).decode()}\"\n","alt = \"Sample Visualization\"\n","display.display(display.Markdown(F\"\"\"\"\"\"))\n","plt.close(fig)"]},{"cell_type":"markdown","metadata":{"id":"VYV91hbKwP2J"},"source":["Colab notebooks execute code on Google's cloud servers, meaning you can leverage the power of Google hardware, including [GPUs and TPUs](#using-accelerated-hardware), regardless of the power of your machine. All you need is a browser.\n","\n","For example, if you find yourself waiting for **pandas** code to finish running and want to go faster, you can switch to a GPU Runtime and use libraries like [RAPIDS cuDF](https://rapids.ai/cudf-pandas) that provide zero-code-change acceleration."]},{"cell_type":"markdown","metadata":{"id":"vwnNlNIEwoZ8"},"source":["To learn more about accelerating pandas on Colab, see the [10 minute guide](https://colab.research.google.com/github/rapidsai-community/showcase/blob/main/getting_started_tutorials/cudf_pandas_colab_demo.ipynb) or\n"," [US stock market data analysis demo](https://colab.research.google.com/github/rapidsai-community/showcase/blob/main/getting_started_tutorials/cudf_pandas_stocks_demo.ipynb)."]},{"cell_type":"markdown","metadata":{"id":"OwuxHmxllTwN"},"source":["
\n","\n","## Machine learning\n","
\n","\n","With Colab you can import an image dataset, train an image classifier on it, and evaluate the model, all in just [a few lines of code](https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/quickstart/beginner.ipynb)."]},{"cell_type":"markdown","metadata":{"id":"ufxBm1yRnruN"},"source":["Colab is used extensively in the machine learning community with applications including:\n","- Getting started with TensorFlow\n","- Developing and training neural networks\n","- Experimenting with TPUs\n","- Disseminating AI research\n","- Creating tutorials\n","\n","To see sample Colab notebooks that demonstrate machine learning applications, see the [machine learning examples](#machine-learning-examples) below."]},{"cell_type":"markdown","metadata":{"id":"-Rh3-Vt9Nev9"},"source":["
\n","\n","## More Resources\n","\n","### Working with Notebooks in Colab\n","\n","
\n","\n","- [Overview of Colab](/notebooks/basic_features_overview.ipynb)\n","- [Guide to Markdown](/notebooks/markdown_guide.ipynb)\n","- [Importing libraries and installing dependencies](/notebooks/snippets/importing_libraries.ipynb)\n","- [Saving and loading notebooks in GitHub](https://colab.research.google.com/github/googlecolab/colabtools/blob/main/notebooks/colab-github-demo.ipynb)\n","- [Interactive forms](/notebooks/forms.ipynb)\n","- [Interactive widgets](/notebooks/widgets.ipynb)\n","\n","
\n","\n","\n","### Working with Data\n","
\n","\n","- [Loading data: Drive, Sheets, and Google Cloud Storage](/notebooks/io.ipynb)\n","- [Charts: visualizing data](/notebooks/charts.ipynb)\n","- [Getting started with BigQuery](/notebooks/bigquery.ipynb)\n","\n","
\n","\n","### Machine Learning\n","\n","
\n","\n","These are a few of the notebooks related to Machine Learning, including Google's online Machine Learning course. See the [full course website](https://developers.google.com/machine-learning/crash-course/) for more.\n","- [Intro to Pandas DataFrame](https://colab.research.google.com/github/google/eng-edu/blob/main/ml/cc/exercises/pandas_dataframe_ultraquick_tutorial.ipynb)\n","- [Intro to RAPIDS cuDF to accelerate pandas](https://nvda.ws/rapids-cudf)\n","- [Getting Started with cuML's accelerator mode](https://colab.research.google.com/github/rapidsai-community/showcase/blob/main/getting_started_tutorials/cuml_sklearn_colab_demo.ipynb)\n","- [Linear regression with tf.keras using synthetic data](https://colab.research.google.com/github/google/eng-edu/blob/main/ml/cc/exercises/linear_regression_with_synthetic_data.ipynb)\n","\n","
\n","\n","\n","### Using Accelerated Hardware\n","
\n","\n","- [TensorFlow with GPUs](/notebooks/gpu.ipynb)\n","- [TPUs in Colab](/notebooks/tpu.ipynb)"]},{"cell_type":"markdown","metadata":{"id":"P-H6Lw1vyNNd"},"source":["
\n","\n","\n","\n","### Featured examples\n","\n","
\n","\n","- [Retraining an Image Classifier](https://tensorflow.org/hub/tutorials/tf2_image_retraining): Build a Keras model on top of a pre-trained image classifier to distinguish flowers.\n","- [Text Classification](https://tensorflow.org/hub/tutorials/tf2_text_classification): Classify IMDB movie reviews as either *positive* or *negative*.\n","- [Style Transfer](https://tensorflow.org/hub/tutorials/tf2_arbitrary_image_stylization): Use deep learning to transfer style between images.\n","- [Multilingual Universal Sentence Encoder Q&A](https://tensorflow.org/hub/tutorials/retrieval_with_tf_hub_universal_encoder_qa): Use a machine learning model to answer questions from the SQuAD dataset.\n","- [Video Interpolation](https://tensorflow.org/hub/tutorials/tweening_conv3d): Predict what happened in a video between the first and the last frame.\n"]},{"cell_type":"code","source":[],"metadata":{"id":"MqNuySBEt6tZ"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"id":"pRL2iE_5t8US","executionInfo":{"status":"error","timestamp":1763825788467,"user_tz":-330,"elapsed":85816,"user":{"displayName":"Deepak kushwaha","userId":"10519047954179343607"}},"outputId":"4d5655f3-61b2-4ced-f8c4-91511170c4db","colab":{"base_uri":"https://localhost:8080/","height":304}},"execution_count":1,"outputs":[{"output_type":"error","ename":"MessageError","evalue":"Error: credential propagation was unsuccessful","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mMessageError\u001b[0m Traceback (most recent call last)","\u001b[0;32m/tmp/ipython-input-1408506528.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mgoogle\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolab\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mdrive\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdrive\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/drive'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/google/colab/drive.py\u001b[0m in \u001b[0;36mmount\u001b[0;34m(mountpoint, force_remount, timeout_ms, readonly)\u001b[0m\n\u001b[1;32m 95\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmountpoint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mforce_remount\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout_ms\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m120000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreadonly\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 96\u001b[0m \u001b[0;34m\"\"\"Mount your Google Drive at the specified mountpoint path.\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 97\u001b[0;31m return _mount(\n\u001b[0m\u001b[1;32m 98\u001b[0m \u001b[0mmountpoint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 99\u001b[0m \u001b[0mforce_remount\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mforce_remount\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/google/colab/drive.py\u001b[0m in \u001b[0;36m_mount\u001b[0;34m(mountpoint, force_remount, timeout_ms, ephemeral, readonly)\u001b[0m\n\u001b[1;32m 132\u001b[0m )\n\u001b[1;32m 133\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mephemeral\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 134\u001b[0;31m _message.blocking_request(\n\u001b[0m\u001b[1;32m 135\u001b[0m \u001b[0;34m'request_auth'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 136\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'authType'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;34m'dfs_ephemeral'\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/google/colab/_message.py\u001b[0m in \u001b[0;36mblocking_request\u001b[0;34m(request_type, request, timeout_sec, parent)\u001b[0m\n\u001b[1;32m 174\u001b[0m \u001b[0mrequest_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparent\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mparent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexpect_reply\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 175\u001b[0m )\n\u001b[0;32m--> 176\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mread_reply_from_input\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest_id\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout_sec\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/google/colab/_message.py\u001b[0m in \u001b[0;36mread_reply_from_input\u001b[0;34m(message_id, timeout_sec)\u001b[0m\n\u001b[1;32m 101\u001b[0m ):\n\u001b[1;32m 102\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'error'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mreply\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 103\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mMessageError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreply\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'error'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 104\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mreply\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'data'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 105\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mMessageError\u001b[0m: Error: credential propagation was unsuccessful"]}]},{"cell_type":"code","source":["# =====================================================\n","# 🧠 Complaint Type Classifier using Random Forest\n","# =====================================================\n","\n","import pandas as pd\n","import numpy as np\n","import re\n","import string\n","import joblib\n","from sklearn.model_selection import train_test_split\n","from sklearn.feature_extraction.text import TfidfVectorizer\n","from sklearn.ensemble import RandomForestClassifier\n","from sklearn.metrics import classification_report, confusion_matrix\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","from nltk.corpus import stopwords\n","import nltk\n","nltk.download('stopwords')\n","\n","# -----------------------------------\n","# 1️⃣ Load Data\n","# -----------------------------------\n","df = pd.read_csv('/content/drive/MyDrive/nlp/data/complaints_dataset.csv')\n","print(\"✅ Loaded:\", df.shape)\n","df = df.dropna(subset=['complaint_text','category']).reset_index(drop=True)\n","\n","# -----------------------------------\n","# 2️⃣ Clean Text\n","# -----------------------------------\n","stop = set(stopwords.words('english'))\n","\n","def clean_text(text):\n"," text = str(text).lower()\n"," text = re.sub(r\"http\\S+|www\\S+\", \"\", text)\n"," text = re.sub(r\"[^a-zA-Z\\s]\", \"\", text)\n"," text = re.sub(r\"\\s+\", \" \", text)\n"," words = [w for w in text.split() if w not in stop]\n"," return \" \".join(words)\n","\n","df['clean_text'] = df['complaint_text'].apply(clean_text)\n","\n","# -----------------------------------\n","# 2.5️⃣ Handle rare / singleton classes BEFORE vectorizing\n","# -----------------------------------\n","# Ensure stratify will work: map labels with <2 samples to 'other'.\n","vc = df['category'].value_counts()\n","rare_labels = vc[vc < 2].index.tolist()\n","\n","if len(rare_labels) > 0:\n"," print(f\"⚠️ Found {len(rare_labels)} rare label(s) with <2 samples. Mapping them to 'other'.\")\n"," df['category'] = df['category'].apply(lambda x: 'other' if x in rare_labels else x)\n","\n"," # If 'other' still has only 1 sample (e.g. only one singleton exists), drop that row(s)\n"," if df['category'].value_counts().get('other', 0) < 2:\n"," print(\"⚠️ 'other' bucket still has <2 samples after mapping — dropping those rows.\")\n"," df = df[df['category'] != 'other'].reset_index(drop=True)\n","\n","# After changes show distribution\n","print(\"\\nLabel distribution (top 20):\")\n","print(df['category'].value_counts().head(20))\n","\n","# -----------------------------------\n","# 3️⃣ Feature Extraction (TF-IDF)\n","# -----------------------------------\n","tfidf = TfidfVectorizer(\n"," max_features=20000,\n"," ngram_range=(1,2),\n"," min_df=3\n",")\n","X = tfidf.fit_transform(df['clean_text'])\n","y = df['category'].values # use numpy array\n","\n","print(\"✅ Feature shape:\", X.shape)\n","print(\"✅ Number of labels:\", len(np.unique(y)))\n","\n","# -----------------------------------\n","# 4️⃣ Split Dataset\n","# -----------------------------------\n","X_train, X_test, y_train, y_test = train_test_split(\n"," X, y, test_size=0.2, random_state=42, stratify=y\n",")\n","\n","# -----------------------------------\n","# 5️⃣ Train Random Forest\n","# -----------------------------------\n","rf = RandomForestClassifier(\n"," n_estimators=300,\n"," max_depth=40,\n"," class_weight='balanced',\n"," random_state=42,\n"," n_jobs=-1\n",")\n","\n","rf.fit(X_train, y_train)\n","print(\"✅ Model trained\")\n","\n","# -----------------------------------\n","# 6️⃣ Evaluate\n","# -----------------------------------\n","y_pred = rf.predict(X_test)\n","\n","print(\"\\n📊 Classification Report:\")\n","print(classification_report(y_test, y_pred))\n","\n","cm = confusion_matrix(y_test, y_pred, labels=rf.classes_)\n","plt.figure(figsize=(8,6))\n","sns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n"," xticklabels=rf.classes_, yticklabels=rf.classes_)\n","plt.xlabel(\"Predicted\")\n","plt.ylabel(\"True\")\n","plt.title(\"Confusion Matrix - Complaint Type Classifier (Random Forest)\")\n","plt.show()\n","\n","# -----------------------------------\n","# 7️⃣ Save Model & Vectorizer\n","# -----------------------------------\n","save_path = '/content/drive/MyDrive/nlp/model1/'\n","# ensure directory exists\n","import os\n","os.makedirs(save_path, exist_ok=True)\n","\n","joblib.dump(rf, save_path + 'complaint_classifier_rf.pkl')\n","joblib.dump(tfidf, save_path + 'tfidf_vectorizer.pkl')\n","print(\"✅ Saved Random Forest model & vectorizer\")\n","\n","# -----------------------------------\n","# 8️⃣ Test Function\n","# -----------------------------------\n","def predict_complaint(text):\n"," clean = clean_text(text)\n"," vec = tfidf.transform([clean])\n"," category = rf.predict(vec)[0]\n"," return category\n","\n","# Example predictions\n","samples = [\n"," \"My order was supposed to arrive two days ago but it’s still in transit.\",\n"," \"The package took forever to reach me.\",\n"," \"I paid extra for express delivery but it came late.\",\n"," \"Still waiting for my parcel. Terrible service!\",\n"," \"My parcel got delayed again, this happens every time.\",\n","\n"," # --- Damaged Product ---\n"," \"The phone screen was cracked when I opened the box.\",\n"," \"I got a damaged TV with scratches all over.\",\n"," \"The item was not working when delivered.\",\n"," \"The packaging was broken and the product was leaking.\",\n"," \"Received a torn dress, I want a replacement.\",\n","\n"," # --- Refund / Return Request ---\n"," \"I returned the product last week but haven’t received my refund.\",\n"," \"Refund not processed even after multiple emails.\",\n"," \"The return was approved but no money credited yet.\",\n"," \"Where is my refund? It’s been over 10 days!\",\n"," \"I need my refund immediately, this is unacceptable.\",\n","\n"," # --- Wrong Item Delivered ---\n"," \"I ordered a red jacket but received a blue one.\",\n"," \"Got someone else’s order instead of mine.\",\n"," \"You sent me the wrong product entirely.\",\n"," \"I got a smaller size than what I ordered.\",\n"," \"I ordered shoes but received socks. Seriously?\",\n","\n"," # --- Delivery Partner Issue ---\n"," \"The delivery guy was rude and unprofessional.\",\n"," \"Your driver refused to come to my building gate.\",\n"," \"Delivery person asked for extra money to deliver.\",\n"," \"The courier called once and left without delivering.\",\n"," \"He didn’t even ring the bell and marked it as delivered.\",\n","\n"," # --- Address / Contact Problem ---\n"," \"Please update my contact number, the old one is not reachable.\",\n"," \"My address was entered incorrectly, it’s Tower B not Tower A.\",\n"," \"Delivery boy couldn’t find my apartment because of missing address info.\",\n"," \"Change the delivery address to my office please.\",\n"," \"Can you call before delivery? My doorbell doesn’t work.\",\n","\n"," # --- Payment / Order Issue ---\n"," \"The payment failed but the amount was deducted from my account.\",\n"," \"I was charged twice for one order.\",\n"," \"The order got cancelled automatically after payment.\",\n"," \"Payment not reflecting but money is gone.\",\n"," \"Payment gateway shows error every time I try to pay.\",\n","\n"," # --- Positive / Fast Delivery ---\n"," \"Super quick delivery! Got my parcel in just one day.\",\n"," \"Amazing service, everything arrived perfectly on time.\",\n"," \"Loved the packaging and fast shipping.\",\n"," \"The item was delivered before expected date, thank you!\",\n"," \"Excellent experience, fast and smooth delivery.\",\n","\n"," # --- Positive Feedback (General) ---\n"," \"Really happy with your customer service team!\",\n"," \"The support staff resolved my issue immediately.\",\n"," \"Everything was perfect from order to delivery.\",\n"," \"Great experience overall, will order again.\",\n"," \"I’m satisfied with the product and the service.\"\n","]\n","\n","print(\"\\n🧠 Predictions:\")\n","for s in samples:\n"," print(f\"{s} → {predict_complaint(s)}\")\n"],"metadata":{"id":"YfHbTujeuIOK","executionInfo":{"status":"ok","timestamp":1762862979693,"user_tz":-330,"elapsed":12667,"user":{"displayName":"","userId":""}},"outputId":"af05e4a6-05e4-4461-8fa8-7f9ed0d8ef28","colab":{"base_uri":"https://localhost:8080/","height":1000}},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data] Package stopwords is already up-to-date!\n"]},{"output_type":"stream","name":"stdout","text":["✅ Loaded: (1810, 4)\n","⚠️ Found 6 rare label(s) with <2 samples. Mapping them to 'other'.\n","\n","Label distribution (top 20):\n","category\n","Late Delivery 312\n","Refund Or Return Request 287\n","Damaged Product 285\n","Delivery Partner Issue 258\n","Wrong Item Delivered 255\n","Address Or Contact Problem 152\n","Positive Feedback 63\n","Refund or Return Request 32\n","Customer Service Issue 26\n","Customer Service 22\n","Customer Support 19\n","fast Delivery 17\n","Address or Contact Problem 17\n","Lost Package 9\n","Product Quality 7\n","Order 7\n","Product 7\n","other 6\n","Pickup Issue 6\n","Delivery Partner 5\n","Name: count, dtype: int64\n","✅ Feature shape: (1810, 1293)\n","✅ Number of labels: 27\n","✅ Model trained\n","\n","📊 Classification Report:\n"," precision recall f1-score support\n","\n"," Address Or Contact Problem 0.87 0.87 0.87 30\n","Address Or Kcontact Problem 0.00 0.00 0.00 1\n"," Address or Contact Problem 1.00 0.25 0.40 4\n"," Customer Service 0.33 0.50 0.40 4\n"," Customer Service Issue 0.20 0.40 0.27 5\n"," Customer Support 0.50 0.50 0.50 4\n"," Damaged Product 0.78 0.68 0.73 57\n"," Delivery Partner 0.00 0.00 0.00 1\n"," Delivery Partner Issue 0.80 0.79 0.80 52\n"," Fraudulent Order 0.00 0.00 0.00 1\n"," Late Delivery 0.75 0.73 0.74 63\n"," Lost Package 0.50 0.50 0.50 2\n"," Order 0.00 0.00 0.00 1\n"," Order Issue 0.00 0.00 0.00 1\n"," Pickup Issue 0.00 0.00 0.00 1\n"," Positive Feedback 0.00 0.00 0.00 13\n"," Product 0.00 0.00 0.00 1\n"," Product Quality 0.00 0.00 0.00 1\n"," Refund Or Return Request 0.83 0.86 0.84 57\n"," Refund or Return Request 1.00 0.17 0.29 6\n"," Synthetic Complaints 0.06 1.00 0.11 1\n"," Wrong Item Delivered 0.74 0.82 0.78 51\n"," fast Delivery 0.50 0.25 0.33 4\n"," other 0.00 0.00 0.00 1\n","\n"," accuracy 0.70 362\n"," macro avg 0.37 0.35 0.31 362\n"," weighted avg 0.72 0.70 0.70 362\n","\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n"," _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n","/usr/local/lib/python3.12/dist-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n"," _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n","/usr/local/lib/python3.12/dist-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n"," _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"]},{"output_type":"display_data","data":{"text/plain":[""],"image/png":"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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["✅ Saved Random Forest model & vectorizer\n","\n","🧠 Predictions:\n","My order was supposed to arrive two days ago but it’s still in transit. → Late Delivery\n","The package took forever to reach me. → Late Delivery\n","I paid extra for express delivery but it came late. → Late Delivery\n","Still waiting for my parcel. Terrible service! → Late Delivery\n","My parcel got delayed again, this happens every time. → Late Delivery\n","The phone screen was cracked when I opened the box. → Damaged Product\n","I got a damaged TV with scratches all over. → Damaged Product\n","The item was not working when delivered. → Delivery Partner Issue\n","The packaging was broken and the product was leaking. → Damaged Product\n","Received a torn dress, I want a replacement. → Synthetic Complaints\n","I returned the product last week but haven’t received my refund. → Refund Or Return Request\n","Refund not processed even after multiple emails. → Refund Or Return Request\n","The return was approved but no money credited yet. → Refund Or Return Request\n","Where is my refund? It’s been over 10 days! → Refund Or Return Request\n","I need my refund immediately, this is unacceptable. → Refund Or Return Request\n","I ordered a red jacket but received a blue one. → Wrong Item Delivered\n","Got someone else’s order instead of mine. → Synthetic Complaints\n","You sent me the wrong product entirely. → Wrong Item Delivered\n","I got a smaller size than what I ordered. → Wrong Item Delivered\n","I ordered shoes but received socks. Seriously? → Wrong Item Delivered\n","The delivery guy was rude and unprofessional. → Delivery Partner Issue\n","Your driver refused to come to my building gate. → Delivery Partner Issue\n","Delivery person asked for extra money to deliver. → Delivery Partner Issue\n","The courier called once and left without delivering. → Delivery Partner Issue\n","He didn’t even ring the bell and marked it as delivered. → Delivery Partner Issue\n","Please update my contact number, the old one is not reachable. → Address Or Contact Problem\n","My address was entered incorrectly, it’s Tower B not Tower A. → Address Or Contact Problem\n","Delivery boy couldn’t find my apartment because of missing address info. → Delivery Partner Issue\n","Change the delivery address to my office please. → Address Or Contact Problem\n","Can you call before delivery? My doorbell doesn’t work. → Delivery Partner Issue\n","The payment failed but the amount was deducted from my account. → Refund Or Return Request\n","I was charged twice for one order. → Payment Issue\n","The order got cancelled automatically after payment. → Wrong Item Delivered\n","Payment not reflecting but money is gone. → Payment Issue\n","Payment gateway shows error every time I try to pay. → Synthetic Complaints\n","Super quick delivery! Got my parcel in just one day. → Late Delivery\n","Amazing service, everything arrived perfectly on time. → Late Delivery\n","Loved the packaging and fast shipping. → Damaged Product\n","The item was delivered before expected date, thank you! → fast Delivery\n","Excellent experience, fast and smooth delivery. → Positive Feedback\n","Really happy with your customer service team! → Customer Service\n","The support staff resolved my issue immediately. → Customer Service Issue\n","Everything was perfect from order to delivery. → Order \n","Great experience overall, will order again. → Positive Feedback\n","I’m satisfied with the product and the service. → Late Delivery\n"]}]},{"cell_type":"code","source":["# =====================================================\n","# 🧠 Complaint Type Classifier using Sentence Embeddings + Random Forest\n","# =====================================================\n","\n","!pip install -U sentence-transformers joblib\n","\n"],"metadata":{"id":"zCadO7CzvvBj","executionInfo":{"status":"error","timestamp":1762861772885,"user_tz":-330,"elapsed":54981,"user":{"displayName":"","userId":""}},"outputId":"fc267bcb-414d-40b0-d37e-04daf02b1099","colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["38b4cd5b91254171b8a894e5108ce65f","4d2a3f30e5bf4530887566ff73d37ce4","34549891e5a145e69db3850c9878b415","338e79988aae4310a7708578e0e0c895","628d96afcb234eba9c89215953458e44","5f23176689d24e9b8d699b4981f9db71","f382cb10c7484ddd945593e981622c25","a50542bc1edd4d228f577c343a8623d3","4fa4bf1df0f24268a089824e800f888a","c1c0aeaa8e0d40129ce6c43134a78f18","c167bf85232f43b1b4c9ad1a3364f6cc","f98ec1f621df48a7854d928d3be70456","7ccdb9680d21415bb03e5505efa3840b","6e44165221fc419e8d1856c3f55d14e7","96e94ffd0eeb4e32b67a083cd1c20453","85c5517220bb4e699fdcbb75910eb568","f4b5437cec2243b9b2e7c8c6e38e1c9c","d7dc9e6fe6ee4f91940d3cbcc9e3de7e","4892e7f89f4c496289e6745255a0585f","0927cf63531c4f838dbb546a3b18c323","5575186b7da54e43bb4312165a0f7eaa","9c68196ca18649428c81e8a4a087f4c7","2007380d0cae4b49887fd314bac9b0a4","0980e15165c7415ba472c84078450e75","4260c34f733649e898ae58e650c24c0e","0343352f43894ba28097867c5c66c31d","eb054d2d454b4f85bca2b9f84bf810df","5cd11b48ca974d77a0ff576f5e2c8ef7","1cc8697e22614d06b8dc9fd79ca0843b","90a7529f0d57443d94fe7bf38360df76","bf01b5e852bd4cfa9bd8a022f0633f82","2ea6e379afc24ceab15c9deb9c665b68","ef6c88c22fd142cba0e33cf7a56f2432","5c2f736837d14d93aa87e40d1d75d6d2","aa383b8ee8f74e91b2b728d92a02d7cf","8fc9fcb3d2c24d958391aa547376381c","d85efae14a184780bd761d7e084bd29b","7aa7902bceb2419481ac5131482cf36f","1e92947da0a14766a6aa93a0413259a3","6370c4a2b9d54ffc913f94a01542fe60","96a5b7d020d74a6384833f490d896b7b","f6e0fbeedec544408914cb4fa5d15be7","a652559fefc64d87a8f7670eab96e8b8","ff5d8b935a174bea8692e77a7b8630ac","d8fa2ff66701455390c557e04bef8019","3664a1d5bc7945b3b6e8f8fddf2c40bd","aca7c665739b4db8b4e2b3be97e2ba0c","adbff01f1148470bb60a4757253f1bda","87b7f6a8be78493595d6733189ca99e5","fc39ffe4f13d4230ae0893964dbae95f","84520d74e6ab426680ee97d6053cdba8","f09c8ae401fe49a0b094b10ac7af697c","0ce3915a97d74336b914b4cbf995ca51","a98e4e2d84884eeaa016e6c769f4546f","fe10e24ca54d48d081b5bba5e94e924e","71b477d903324f2181b377df89460acc","018f9ac254804815a5bc8a81005933bc","61dae7f2c7fb432a856dc7a68eff5627","8f45e2e7562a48e1b15bfefdc06d87f3","c6356e8e84634efaac1ecb08a6aa4694","bc704dbbe2e3465aa799602d785b8416","264a3ff5cf25444d8c8b82e317b6bbf9","a16be54ca92e4fabb2c3ae18eb7e19d5","c740fbb1a82b46bb819476c1bee624af","cb78980f15d3446d8df9aa22d2f73eca","c26ff9fa076647489a2d26b1df04a5cb","6ab1149ff42b4689be1abb6e629c69dc","e250533f8b394a629cf9ef978dd9aa6b","0d23b576d6aa4978ba215db11ad6cc3b","8ad69b4645984d258bfa8b3f124564dc","4ef9ec0c23be4ae8a307286ab0188bbb","bf4151dedd77441d8bf3bac6ad5af6d2","80f1fb16c5744db09a93c9647db44251","2ec65b1bde3849678a324c152ed8811d","df382a0dee83409a9c98e32edf55c759","143b303001214bd181fcdcee1edad293","62983fc6dd384c0eabfa1c5f99f804fb","907bc21628d0438daf3b6cda6a9add4e","b1f8c2daddc54bc6b544b5053bf3b619","6e29d2ad6f7a41bc9208c74f1229e27e","a83288304f614d8389eadda613d7e80b","b7f6ab78bf80431bac37f24b06250241","9678fd661b1d4159a57f732e636d7ced","7d0597bb7b5b4820a168f189352a6710","486a5f3090ac41a9a194ee7e7deca672","b3054eb27df84e3dad29bc54c17e6a0a","37c8c219b3064941a9e90c399bda3041","0234eeddc0b146af88de5b41ee2c3faf","90e2527cafcc49999759df25b1c413f2","6432fbda1f5849dea61db588539448e0","7bf398b2206e4c9b9cae6bd2b95bc9bb","e1cafc4f827846509424940c80fd51d3","4fb02015d42e4bd5b8177d0e1988937a","401157413a4847aaaa5e5e35743a61df","fe5034e573ac4c5ba81e21869d099fb9","5c3a91d2f5b64a0ab64121fa9905b5be","5971bb68018145a09d7268f148ebcb81","25617c97341f43ed96f8b6ab882e9ce7","55101c847a4543039dcb2f5ceb7e92db","9e186a9b707b49d38194cd937e9858ca","a914c1b8159a451ca04a82929572a153","d5f4508877544dfdad6f74835162e628","5f4da07447a046b19332c41e3c85f11c","46e55a0334b54c9888446ec43dd8e932","569f103f442044f5828da20233fc597a","0d7570d0154649ed9c40e28e7c1e7324","eb20375d07034e28b81a666896a1861d","590b639c6f43473880a490cc687df536","10d554545de9482c815bddf97e974057","a5a02b631cff4c5c9fa93b85cf10864d","8c84e241b74d4173a28e6d5f237e18a2","2045fe84ac84402a90cf7cd96eff6d15","c17c0a5e93e74ebba874727034631bf4","5ad969b4142746a686f7a0dae57115bd","c12297ea49e04b1ca6eb047f26a777ac","2243a3fa331948ae8e6503c8b2e8b798","ce70e5eaaedc4e0583caaf094efceb3d","6f534a710ad34fad9397489729360acf","6a2cc650779b4c618619904a20632e7b","896d30e6de184f9e8d1671d55af648cd","4b8ed2c6a11a432f924ccad4817ceddd","0948455da3f74bad904d96362a032b17","0a559ae77184481fbc679c75839fd6c7","e1d78fc78b274873a56ee8120c4237e9","2c9e2f9330ab4feca49811a0480bcea3","a2d93e98023c4f30a19cf900b8fc9303","3643c16220a34c979054708b492486a2","725e7df8a98f49048ade356397803e03","c9ded6ce77a14f9d8948de615a17f969","2f8d29f0d79a4b56aa8bc3a8a020009d","c299d6eef97c46b493424a2708b78b31","613d231137624064927215d049a799b0"]}},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Requirement already satisfied: sentence-transformers in /usr/local/lib/python3.12/dist-packages (5.1.2)\n","Requirement already satisfied: joblib in /usr/local/lib/python3.12/dist-packages (1.5.2)\n","Requirement already satisfied: transformers<5.0.0,>=4.41.0 in /usr/local/lib/python3.12/dist-packages (from sentence-transformers) (4.57.1)\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.12/dist-packages (from sentence-transformers) (4.67.1)\n","Requirement already satisfied: torch>=1.11.0 in /usr/local/lib/python3.12/dist-packages (from sentence-transformers) (2.8.0+cu126)\n","Requirement already satisfied: scikit-learn in /usr/local/lib/python3.12/dist-packages (from sentence-transformers) (1.6.1)\n","Requirement already satisfied: scipy in /usr/local/lib/python3.12/dist-packages (from sentence-transformers) (1.16.3)\n","Requirement already satisfied: huggingface-hub>=0.20.0 in /usr/local/lib/python3.12/dist-packages (from sentence-transformers) (0.36.0)\n","Requirement already satisfied: Pillow in /usr/local/lib/python3.12/dist-packages (from sentence-transformers) (11.3.0)\n","Requirement already satisfied: typing_extensions>=4.5.0 in /usr/local/lib/python3.12/dist-packages (from sentence-transformers) (4.15.0)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.12/dist-packages (from huggingface-hub>=0.20.0->sentence-transformers) (3.20.0)\n","Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub>=0.20.0->sentence-transformers) (2025.3.0)\n","Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub>=0.20.0->sentence-transformers) (25.0)\n","Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.12/dist-packages (from huggingface-hub>=0.20.0->sentence-transformers) (6.0.3)\n","Requirement already satisfied: requests in /usr/local/lib/python3.12/dist-packages (from huggingface-hub>=0.20.0->sentence-transformers) 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requests->huggingface-hub>=0.20.0->sentence-transformers) (2025.10.5)\n"]},{"output_type":"stream","name":"stderr","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data] Package stopwords is already up-to-date!\n"]},{"output_type":"stream","name":"stdout","text":["✅ Loaded: (1810, 4)\n"]},{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n","The secret `HF_TOKEN` does not exist in your Colab secrets.\n","To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n","You will be able to reuse this secret in all of your notebooks.\n","Please note that authentication is recommended but still optional to access public models or datasets.\n"," warnings.warn(\n"]},{"output_type":"display_data","data":{"text/plain":["modules.json: 0%| | 0.00/349 [00:00\u001b[0;34m()\u001b[0m\n\u001b[1;32m 53\u001b[0m \u001b[0;31m# 4️⃣ Train/Test Split\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 54\u001b[0m \u001b[0;31m# -----------------------------------\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 55\u001b[0;31m X_train, X_test, y_train, y_test = train_test_split(\n\u001b[0m\u001b[1;32m 56\u001b[0m \u001b[0membeddings\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'category'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtest_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrandom_state\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m42\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstratify\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'category'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 57\u001b[0m )\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/sklearn/utils/_param_validation.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 214\u001b[0m )\n\u001b[1;32m 215\u001b[0m ):\n\u001b[0;32m--> 216\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 217\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mInvalidParameterError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 218\u001b[0m \u001b[0;31m# When the function is just a wrapper around an estimator, we allow\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/usr/local/lib/python3.12/dist-packages/sklearn/model_selection/_split.py\u001b[0m in \u001b[0;36mtrain_test_split\u001b[0;34m(test_size, train_size, random_state, shuffle, stratify, *arrays)\u001b[0m\n\u001b[1;32m 2870\u001b[0m \u001b[0mcv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCVClass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtest_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mn_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mn_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrandom_state\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrandom_state\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2871\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2872\u001b[0;31m \u001b[0mtrain\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtest\u001b[0m \u001b[0;34m=\u001b[0m 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The minimum\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mValueError\u001b[0m: The least populated class in y has only 1 member, which is too few. The minimum number of groups for any class cannot be less than 2."]}]},{"cell_type":"code","source":["import os\n","import re\n","import joblib\n","import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","from sentence_transformers import SentenceTransformer\n","from sklearn.ensemble import RandomForestClassifier\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import classification_report, confusion_matrix\n","from imblearn.over_sampling import RandomOverSampler\n","\n","# ----------------------------\n","# 🔧 Config\n","# ----------------------------\n","DATA_PATH = '/content/drive/MyDrive/nlp/data/complaints_dataset.csv' # update path if needed\n","SAVE_PATH = '/content/drive/MyDrive/nlp/model2/'\n","os.makedirs(SAVE_PATH, exist_ok=True)\n","\n","# ----------------------------\n","# 1️⃣ Load Data\n","# ----------------------------\n","df = pd.read_csv(DATA_PATH)\n","df = df.dropna(subset=['complaint_text', 'category']).reset_index(drop=True)\n","print(\"✅ Loaded dataset:\", df.shape)\n","\n","# ----------------------------\n","# 2️⃣ Clean Text (simple, no stopword removal)\n","# ----------------------------\n","def clean_text(text):\n"," text = str(text).lower()\n"," text = re.sub(r\"http\\S+|www\\S+\", \"\", text)\n"," text = re.sub(r\"[^a-zA-Z\\s]\", \" \", text)\n"," return re.sub(r\"\\s+\", \" \", text).strip()\n","\n","df['clean_text'] = df['complaint_text'].apply(clean_text)\n","\n","# merge very rare labels (<2 samples) into \"other\"\n","vc = df['category'].value_counts()\n","rare_labels = vc[vc < 2].index.tolist()\n","if len(rare_labels) > 0:\n"," print(f\"⚠️ Found {len(rare_labels)} rare labels (<2 samples). Merging into 'other'.\")\n"," df['category'] = df['category'].apply(lambda x: 'other' if x in rare_labels else x)\n","df = df.reset_index(drop=True)\n","\n","print(\"\\nLabel distribution:\")\n","print(df['category'].value_counts().head(15))\n","\n","# ----------------------------\n","# 3️⃣ Sentence Embeddings\n","# ----------------------------\n","print(\"\\n⏳ Encoding sentences with SentenceTransformer...\")\n","sbert = SentenceTransformer('all-MiniLM-L6-v2', device='cpu') # or 'cuda' if GPU available\n","\n","embeddings = sbert.encode(df['clean_text'].tolist(), show_progress_bar=True, batch_size=64)\n","embeddings = np.array(embeddings)\n","print(\"✅ Embeddings created:\", embeddings.shape)\n","\n","# ----------------------------\n","# 4️⃣ Train/Test Split\n","# ----------------------------\n","X_train, X_test, y_train, y_test = train_test_split(\n"," embeddings, df['category'], test_size=0.2, random_state=42, stratify=df['category']\n",")\n","\n","print(\"✅ Train/Test split:\", X_train.shape, X_test.shape)\n","\n","# ----------------------------\n","# 5️⃣ Handle Class Imbalance (Oversampling)\n","# ----------------------------\n","ros = RandomOverSampler(random_state=42)\n","X_res, y_res = ros.fit_resample(X_train, y_train)\n","print(\"✅ After oversampling:\", np.unique(y_res, return_counts=True))\n","\n","# ----------------------------\n","# 6️⃣ Train Random Forest\n","# ----------------------------\n","rf = RandomForestClassifier(\n"," n_estimators=400,\n"," max_depth=60,\n"," random_state=42,\n"," n_jobs=-1\n",")\n","\n","print(\"\\n⏳ Training Random Forest...\")\n","rf.fit(X_res, y_res)\n","print(\"✅ Model trained!\")\n","\n","# ----------------------------\n","# 7️⃣ Evaluate\n","# ----------------------------\n","y_pred = rf.predict(X_test)\n","print(\"\\n📊 Classification Report:\")\n","print(classification_report(y_test, y_pred, zero_division=0))\n","\n","cm = confusion_matrix(y_test, y_pred, labels=rf.classes_)\n","plt.figure(figsize=(12,9))\n","sns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n"," xticklabels=rf.classes_, yticklabels=rf.classes_)\n","plt.xlabel(\"Predicted\")\n","plt.ylabel(\"True\")\n","plt.title(\"Confusion Matrix - Complaint Type Classifier (Embeddings + RF)\")\n","plt.show()\n","\n","# ----------------------------\n","# 8️⃣ Save Model & Encoder\n","# ----------------------------\n","joblib.dump(rf, os.path.join(SAVE_PATH, 'complaint_classifier_rf_embed.pkl'))\n","sbert.save(os.path.join(SAVE_PATH, 'sentence_encoder'))\n","print(\"\\n💾 Saved model and encoder to:\", SAVE_PATH)\n","\n","# ----------------------------\n","# 9️⃣ Predict Function\n","# ----------------------------\n","def predict_complaint(text, model=rf, encoder=sbert):\n"," text = clean_text(text)\n"," emb = encoder.encode([text])\n"," pred = model.predict(emb)[0]\n"," return pred\n","\n","# ----------------------------\n","# 🔟 Test with examples\n","# ----------------------------\n","examples = [\n"," \"My parcel was supposed to arrive yesterday but still not delivered.\",\n"," \"I received a broken item inside the box.\",\n"," \"I still haven’t received my refund for the returned item.\",\n"," \"The delivery person was rude on the call.\",\n"," \"Got the wrong color shoes instead of black ones.\",\n"," \"I want to cancel my order right now.\",\n"," \"The payment failed but the money was deducted from my account.\",\n"," \"I loved the packaging and quick delivery, thank you!\"\n","]\n","\n","print(\"\\n🧠 Example Predictions:\")\n","for e in examples:\n"," print(f\"{e} → {predict_complaint(e)}\")"],"metadata":{"id":"Tpth1LWOw936","executionInfo":{"status":"ok","timestamp":1762862415972,"user_tz":-330,"elapsed":61076,"user":{"displayName":"","userId":""}},"outputId":"9dabd462-cc8d-4400-8034-48416f44d47c","colab":{"base_uri":"https://localhost:8080/","height":1000,"referenced_widgets":["8ddddd6596e74bf8b927fbdf9d74bd11","69a32e207cec488c9e01e96ae2d65cb0","47ab1f7bd519491bae3175ba4c923215","d738ef4c3706449c8ab7b8b86f2ba44f","ebba8b98b70146f99a2ab5cb86527b18","c5a92d60445b4488a4039b60db335041","8ae702deb1f84226bb1cfdebaaa6bcd7","48a09367c786402f8fd1bbbbc8195eea","da4d1aad78b7476db685318c4e951c12","0a03a639a14f422b8d97bbe9edaaf662","e5af59ddbd54461b84d59f9411867ed8"]}},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["✅ Loaded dataset: (1810, 4)\n","⚠️ Found 6 rare labels (<2 samples). Merging into 'other'.\n","\n","Label distribution:\n","category\n","Late Delivery 312\n","Refund Or Return Request 287\n","Damaged Product 285\n","Delivery Partner Issue 258\n","Wrong Item Delivered 255\n","Address Or Contact Problem 152\n","Positive Feedback 63\n","Refund or Return Request 32\n","Customer Service Issue 26\n","Customer Service 22\n","Customer Support 19\n","fast Delivery 17\n","Address or Contact Problem 17\n","Lost Package 9\n","Product Quality 7\n","Name: count, dtype: int64\n","\n","⏳ Encoding sentences with SentenceTransformer...\n"]},{"output_type":"display_data","data":{"text/plain":["Batches: 0%| | 0/29 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\n"},"metadata":{}},{"output_type":"stream","name":"stdout","text":["\n","💾 Saved model and encoder to: /content/drive/MyDrive/nlp/model2/\n","\n","🧠 Example Predictions:\n","My parcel was supposed to arrive yesterday but still not delivered. → Late Delivery\n","I received a broken item inside the box. → Damaged Product\n","I still haven’t received my refund for the returned item. → Refund Or Return Request\n","The delivery person was rude on the call. → Delivery Partner Issue\n","Got the wrong color shoes instead of black ones. → Wrong Item Delivered\n","I want to cancel my order right now. → Refund Or Return Request\n","The payment failed but the money was deducted from my account. → Refund Or Return Request\n","I loved the packaging and quick delivery, thank you! → Damaged Product\n"]}]}],"metadata":{"colab":{"provenance":[{"file_id":"/v2/external/notebooks/intro.ipynb","timestamp":1762863082762}]},"kernelspec":{"display_name":"Python 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