download_model.py updated

Dockerfile

@@ -15,7 +15,9 @@ COPY . /app
 RUN pip install --no-cache-dir -r requirements.txt
 
 # Create a directory to store the model
-RUN mkdir -p /app/model
+RUN mkdir -p model
+
+# Download the model and unzip it
 RUN python download_model.py
 
 # Expose the port the app runs on

download_model.py

@@ -2,20 +2,22 @@
 import zipfile
 
 
-# downloading the model from google drive
-def download_model_from_gdrive(drive_url, output_path):
-    gdown.download(drive_url, output_path, quiet=False)
+# downloading the model from google drive and unzipping it
+def download_model_from_gdrive(drive_url, zip_download_dir, unzip_dir):
+    model_drive_id = drive_url.split("/")[-2]
+    prefix = "https://drive.google.com/uc?/export=download&id="
+    gdown.download(prefix + model_drive_id, zip_download_dir)
+
+    print(f"Model downloaded at {drive_url} into file {zip_download_dir}")
+
+    with zipfile.ZipFile(zip_download_dir, "r") as zip_ref:
+        zip_ref.extractall(unzip_dir)
 
 
 DRIVE_URL = (
     "https://drive.google.com/file/d/1aSBsINRxalELJPE0KJMlZ9Qh6uXqBfqy/view?usp=sharing"
 )
-OUTPUT_PATH = "model/model_v1.zip"
-download_model_from_gdrive(DRIVE_URL, OUTPUT_PATH)
-
-# extract the zip file
-
-with zipfile.ZipFile("model/model_v1.zip", "r") as zip_ref:
-    zip_ref.extractall("model")
+OUTPUT_PATH = "model/model.zip"
+UNZIP_DIR = "model/"
 
-print("Model downloaded and extracted successfully")
+download_model_from_gdrive(DRIVE_URL, OUTPUT_PATH, UNZIP_DIR)

research/download_mode.ipynb

@@ -0,0 +1,127 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gdown\n",
+    "import zipfile"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'d:\\\\coding\\\\MLProject\\\\KindneyDiseaseClassification'"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import os\n",
+    "os.chdir(\"../\")\n",
+    "%pwd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model_drive_url = \"https://drive.google.com/file/d/1aSBsINRxalELJPE0KJMlZ9Qh6uXqBfqy/view?usp=sharing\"\n",
+    "model_drive_id = model_drive_url.split(\"/\")[-2]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "zip_download_dir = \"model/model.zip\"\n",
+    "prefix = \"https://drive.google.com/uc?/export=download&id=\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Downloading...\n",
+      "From (original): https://drive.google.com/uc?/export=download&id=1aSBsINRxalELJPE0KJMlZ9Qh6uXqBfqy\n",
+      "From (redirected): https://drive.google.com/uc?%2Fexport=download&id=1aSBsINRxalELJPE0KJMlZ9Qh6uXqBfqy&confirm=t&uuid=022e4cfe-a1a2-4a2d-a2bb-a2849c19231c\n",
+      "To: d:\\coding\\MLProject\\KindneyDiseaseClassification\\model\\model.zip\n",
+      "100%|██████████| 180M/180M [00:17<00:00, 10.2MB/s] \n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'model/model.zip'"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gdown.download(prefix + model_drive_id, zip_download_dir)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "unzip_dir = \"model/Testing\"\n",
+    "\n",
+    "with zipfile.ZipFile(zip_download_dir, \"r\") as zip_ref:\n",
+    "            zip_ref.extractall(unzip_dir)  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "kidney_CNN_1",
+   "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": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}