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ComplaintClassification
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+ "_model_module": "@jupyter-widgets/controls",
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+ "_model_module_version": "1.5.0",
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+ "_model_name": "DescriptionStyleModel",
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+ "_view_count": null,
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+ "_view_module_version": "1.2.0",
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+ "description_width": ""
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+ }
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+ }
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+ }
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+ }
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+ },
2109
+ "cells": [
2110
+ {
2111
+ "cell_type": "code",
2112
+ "execution_count": 1,
2113
+ "metadata": {
2114
+ "colab": {
2115
+ "base_uri": "https://localhost:8080/"
2116
+ },
2117
+ "id": "_SSP3ywrOzS_",
2118
+ "outputId": "7a4d32fe-a610-494a-876c-651f0e7a32d4"
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+ },
2120
+ "outputs": [
2121
+ {
2122
+ "output_type": "stream",
2123
+ "name": "stdout",
2124
+ "text": [
2125
+ "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.41.0)\n",
2126
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.14.0)\n",
2127
+ "Requirement already satisfied: huggingface-hub<1.0,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.23.0)\n",
2128
+ "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.25.2)\n",
2129
+ "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (24.0)\n",
2130
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
2131
+ "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.12.25)\n",
2132
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
2133
+ "Requirement already satisfied: tokenizers<0.20,>=0.19 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.19.1)\n",
2134
+ "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.3)\n",
2135
+ "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.4)\n",
2136
+ "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.0->transformers) (2023.6.0)\n",
2137
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.0->transformers) (4.11.0)\n",
2138
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)\n",
2139
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.7)\n",
2140
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.7)\n",
2141
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.2.2)\n"
2142
+ ]
2143
+ }
2144
+ ],
2145
+ "source": [
2146
+ "!pip install transformers"
2147
+ ]
2148
+ },
2149
+ {
2150
+ "cell_type": "code",
2151
+ "source": [
2152
+ "!pip install huggingface_hub"
2153
+ ],
2154
+ "metadata": {
2155
+ "colab": {
2156
+ "base_uri": "https://localhost:8080/"
2157
+ },
2158
+ "id": "DpLfJf6tXm5i",
2159
+ "outputId": "7ffc4532-b889-46ea-f4d7-a87e863d3eb5"
2160
+ },
2161
+ "execution_count": 2,
2162
+ "outputs": [
2163
+ {
2164
+ "output_type": "stream",
2165
+ "name": "stdout",
2166
+ "text": [
2167
+ "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (0.23.0)\n",
2168
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (3.14.0)\n",
2169
+ "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2023.6.0)\n",
2170
+ "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (24.0)\n",
2171
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (6.0.1)\n",
2172
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2.31.0)\n",
2173
+ "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.66.4)\n",
2174
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.11.0)\n",
2175
+ "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (3.3.2)\n",
2176
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (3.7)\n",
2177
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2.0.7)\n",
2178
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2024.2.2)\n"
2179
+ ]
2180
+ }
2181
+ ]
2182
+ },
2183
+ {
2184
+ "cell_type": "code",
2185
+ "source": [
2186
+ "import torch\n",
2187
+ "from transformers import BertTokenizer, BertForSequenceClassification"
2188
+ ],
2189
+ "metadata": {
2190
+ "id": "kItBjAixXvud"
2191
+ },
2192
+ "execution_count": 4,
2193
+ "outputs": []
2194
+ },
2195
+ {
2196
+ "cell_type": "code",
2197
+ "source": [
2198
+ "import os\n",
2199
+ "\n",
2200
+ "# List files in the content directory\n",
2201
+ "uploaded_files = os.listdir('/content')\n",
2202
+ "print(uploaded_files)"
2203
+ ],
2204
+ "metadata": {
2205
+ "colab": {
2206
+ "base_uri": "https://localhost:8080/"
2207
+ },
2208
+ "id": "p4vXOSygcimL",
2209
+ "outputId": "bb971dc5-5ca3-4621-edde-104153479e5a"
2210
+ },
2211
+ "execution_count": 5,
2212
+ "outputs": [
2213
+ {
2214
+ "output_type": "stream",
2215
+ "name": "stdout",
2216
+ "text": [
2217
+ "['.config', 'distilbert_model.zip', 'sample_data']\n"
2218
+ ]
2219
+ }
2220
+ ]
2221
+ },
2222
+ {
2223
+ "cell_type": "code",
2224
+ "source": [
2225
+ "import zipfile\n",
2226
+ "\n",
2227
+ "# Assuming the uploaded file is a zip file named 'model_files.zip'\n",
2228
+ "zip_file_path = '/content/distilbert_model.zip'\n",
2229
+ "extract_dir = '/content/distilbert_model'\n",
2230
+ "\n",
2231
+ "# Extract the zip file\n",
2232
+ "with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:\n",
2233
+ " zip_ref.extractall(extract_dir)\n",
2234
+ "\n",
2235
+ "# List the extracted files\n",
2236
+ "extracted_files = os.listdir(extract_dir)\n",
2237
+ "print(extracted_files)"
2238
+ ],
2239
+ "metadata": {
2240
+ "colab": {
2241
+ "base_uri": "https://localhost:8080/"
2242
+ },
2243
+ "id": "VFQ6BTfEYHU2",
2244
+ "outputId": "324659ed-6d54-4d30-cf3c-c20b9d5508de"
2245
+ },
2246
+ "execution_count": 6,
2247
+ "outputs": [
2248
+ {
2249
+ "output_type": "stream",
2250
+ "name": "stdout",
2251
+ "text": [
2252
+ "['distilbert_model']\n"
2253
+ ]
2254
+ }
2255
+ ]
2256
+ },
2257
+ {
2258
+ "cell_type": "code",
2259
+ "source": [
2260
+ "from transformers import DistilBertForSequenceClassification, DistilBertTokenizerFast\n",
2261
+ "\n",
2262
+ "# Update paths based on extracted files\n",
2263
+ "model_path = os.path.join(extract_dir, '/content/distilbert_model/distilbert_model') # Adjust as necessary\n",
2264
+ "tokenizer_path = model_path\n",
2265
+ "\n",
2266
+ "# Load the fine-tuned model and tokenizer\n",
2267
+ "tokenizer = DistilBertTokenizerFast.from_pretrained('distilbert-base-uncased',num_labels=5)\n",
2268
+ "model = DistilBertForSequenceClassification.from_pretrained(model_path)\n",
2269
+ "\n",
2270
+ "# Save the model and tokenizer locally\n",
2271
+ "save_directory = \"/content/saved_model\"\n",
2272
+ "model.save_pretrained(save_directory)\n",
2273
+ "tokenizer.save_pretrained(save_directory)"
2274
+ ],
2275
+ "metadata": {
2276
+ "colab": {
2277
+ "base_uri": "https://localhost:8080/"
2278
+ },
2279
+ "id": "URnEBGuTcSJF",
2280
+ "outputId": "b35987e9-dd22-4402-d64c-2f72b1da723b"
2281
+ },
2282
+ "execution_count": 21,
2283
+ "outputs": [
2284
+ {
2285
+ "output_type": "execute_result",
2286
+ "data": {
2287
+ "text/plain": [
2288
+ "('/content/saved_model/tokenizer_config.json',\n",
2289
+ " '/content/saved_model/special_tokens_map.json',\n",
2290
+ " '/content/saved_model/vocab.txt',\n",
2291
+ " '/content/saved_model/added_tokens.json',\n",
2292
+ " '/content/saved_model/tokenizer.json')"
2293
+ ]
2294
+ },
2295
+ "metadata": {},
2296
+ "execution_count": 21
2297
+ }
2298
+ ]
2299
+ },
2300
+ {
2301
+ "cell_type": "code",
2302
+ "source": [
2303
+ "from huggingface_hub import notebook_login\n",
2304
+ "\n",
2305
+ "notebook_login()"
2306
+ ],
2307
+ "metadata": {
2308
+ "colab": {
2309
+ "base_uri": "https://localhost:8080/",
2310
+ "height": 322,
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+ "referenced_widgets": [
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+ "bf150c82fae144b5ae8e68ef60cb1362",
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+ "CommitInfo(commit_url='https://huggingface.co/MSarah/ComplainClassificationFineTunedBert/commit/9b8eeb9f3110a502b1c3220e0097f95eb9127b96', commit_message='Upload DistilBertForSequenceClassification', commit_description='', oid='9b8eeb9f3110a502b1c3220e0097f95eb9127b96', pr_url=None, pr_revision=None, pr_num=None)"
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+ "text/plain": [
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+ }
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "source": [
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+ "# Install required libraries\n",
2500
+ "!pip install transformers\n",
2501
+ "\n",
2502
+ "# Import necessary libraries\n",
2503
+ "from transformers import AutoModelForSequenceClassification, AutoTokenizer\n",
2504
+ "import torch"
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+ ],
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+ "metadata": {
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+ "id": "6J0sPZrdoxhO"
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+ },
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+ "execution_count": null,
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+ "outputs": []
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+ },
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+ {
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+ "cell_type": "code",
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+ "source": [
2515
+ "# Define the model name\n",
2516
+ "model_name = \"MSarah/ComplainClassificationFineTunedBert\"\n",
2517
+ "\n",
2518
+ "# Load the model and tokenizer from the Hugging Face Hub\n",
2519
+ "model = AutoModelForSequenceClassification.from_pretrained(model_name)\n",
2520
+ "tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
2521
+ "\n",
2522
+ "# Define a function to make predictions\n",
2523
+ "def predict(text, model, tokenizer):\n",
2524
+ " # Tokenize the input text\n",
2525
+ " inputs = tokenizer(text, return_tensors=\"pt\", truncation=True, padding=True)\n",
2526
+ "\n",
2527
+ " # Forward pass, get logits\n",
2528
+ " with torch.no_grad():\n",
2529
+ " outputs = model(**inputs)\n",
2530
+ " logits = outputs.logits\n",
2531
+ "\n",
2532
+ " # Get the predicted class\n",
2533
+ " predicted_class = torch.argmax(logits, dim=1).item()\n",
2534
+ "\n",
2535
+ " if predicted_class == 0:\n",
2536
+ " result = 'Account Services'\n",
2537
+ " elif predicted_class == 1:\n",
2538
+ " result ='Others'\n",
2539
+ " elif predicted_class == 2:\n",
2540
+ " result ='Mortgage/Loan'\n",
2541
+ " elif predicted_class == 3:\n",
2542
+ " result ='Credit card or prepaid card'\n",
2543
+ " else:\n",
2544
+ " result = 'Theft/Dispute Reporting'\n",
2545
+ "\n",
2546
+ " return result\n",
2547
+ "\n",
2548
+ "# Sample data to test the model\n",
2549
+ "sample_texts = [\n",
2550
+ " \"My loan is not processed yet\",\n",
2551
+ " \"I want to open an account\",\n",
2552
+ " \"I want to extend the limit of my credit card\",\n",
2553
+ " \"Please share timings of the your branches.\"\n",
2554
+ "]\n",
2555
+ "\n",
2556
+ "# Make predictions on sample data\n",
2557
+ "for text in sample_texts:\n",
2558
+ " predicted_class = predict(text, model, tokenizer)\n",
2559
+ " print(f\"Text: {text}\\nPredicted class: {predicted_class}\\n\")\n"
2560
+ ],
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+ "metadata": {
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+ "colab": {
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+ "base_uri": "https://localhost:8080/"
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+ },
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+ "id": "3gST8rUOmCjm",
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+ "outputId": "3ba74048-cead-4ef2-812f-8eee6b7eaa23"
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+ },
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+ "execution_count": 27,
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+ "outputs": [
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+ {
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+ "output_type": "stream",
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+ "name": "stdout",
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+ "text": [
2574
+ "Text: My loan is not processed yet\n",
2575
+ "Predicted class: Mortgage/Loan\n",
2576
+ "\n",
2577
+ "Text: I want to open an account\n",
2578
+ "Predicted class: Account Services\n",
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+ "\n",
2580
+ "Text: I want to extend the limit of my credit card\n",
2581
+ "Predicted class: Others\n",
2582
+ "\n",
2583
+ "Text: Please share timings of the your branches.\n",
2584
+ "Predicted class: Account Services\n",
2585
+ "\n"
2586
+ ]
2587
+ }
2588
+ ]
2589
+ }
2590
+ ]
2591
+ }
app.py ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
2
+
3
+ # Replace with your actual model name from Hugging Face Hub
4
+ model_name = "MSarah/ComplainClassificationFineTunedBert"
5
+
6
+ # Load the model and tokenizer
7
+ model = AutoModelForSequenceClassification.from_pretrained(model_name)
8
+ tokenizer = AutoTokenizer.from_pretrained(model_name)
9
+
10
+ def predict(text):
11
+ """
12
+ Classifies text using the loaded model.
13
+
14
+ Args:
15
+ text (str): The text to be classified.
16
+
17
+ Returns:
18
+ str: The predicted complaint category.
19
+ """
20
+ inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
21
+ with torch.no_grad():
22
+ outputs = model(**inputs)
23
+ logits = outputs.logits
24
+ predicted_class = torch.argmax(logits, dim=-1).item()
25
+
26
+ # Map predicted class to category label
27
+ if predicted_class == 0:
28
+ return "Account Services"
29
+ elif predicted_class == 1:
30
+ return "Others"
31
+ elif predicted_class == 2:
32
+ return "Mortgage/Loan"
33
+ elif predicted_class == 3:
34
+ return "Credit card or prepaid card"
35
+ else:
36
+ return "Theft/Dispute Reporting"
37
+
38
+ # Import libraries for Gradio interface (optional)
39
+ import gradio as gr
40
+
41
+ # Define Gradio interface (optional)
42
+ iface = gr.Interface(
43
+ fn=predict,
44
+ inputs="text",
45
+ outputs="text",
46
+ title="Complaint Classification",
47
+ description="Enter text to classify the complaint category"
48
+ )
49
+
50
+ # Launch the interface locally (optional for testing)
51
+ # iface.launch()
complaint_data.csv ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:5d3c67f134d429683a8f47824805e17fa9cbaddf20d584fb8ff52c50d544f91d
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+ size 29388273
finetuning_Another_method.ipynb ADDED
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requirements.txt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ transformers
2
+ gradio
3
+ torch