fix: imports now reflect new module names

notebooks/app_pipeline.ipynb

@@ -239,33 +239,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "5c54b4dd-46ec-4bba-9531-18ae03e8af33",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/lynn/Documents/Twinkl/grant-applications-app/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Model 'en_core_web_md' not found. Downloading now...\n",
-      "Collecting en-core-web-md==3.8.0\n",
-      "  Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_md-3.8.0/en_core_web_md-3.8.0-py3-none-any.whl (33.5 MB)\n",
-      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m33.5/33.5 MB\u001b[0m \u001b[31m27.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
-      "\u001b[?25hInstalling collected packages: en-core-web-md\n",
-      "Successfully installed en-core-web-md-3.8.0\n",
-      "\u001b[38;5;2m✔ Download and installation successful\u001b[0m\n",
-      "You can now load the package via spacy.load('en_core_web_md')\n",
-      "\u001b[38;5;3m⚠ Restart to reload dependencies\u001b[0m\n",
-      "If you are in a Jupyter or Colab notebook, you may need to restart Python in\n",
-      "order to load all the package's dependencies. You can do this by selecting the\n",
-      "'Restart kernel' or 'Restart runtime' option.\n",
       "Using device: mps\n"
      ]
     }
    ],
    "source": [
     "import importlib\n",
-    "import src.models.topicModeling_contentRequests as tmc\n",
+    "import src.models.topic_modeling_pipeline as tmc\n",
     "\n",
     "importlib.reload(tmc)\n",
     "\n",
@@ -275,7 +271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "id": "e0be5874-f2f3-41ab-9ccf-9be3a7a7559f",
    "metadata": {},
    "outputs": [],
@@ -293,7 +289,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "id": "3a9ba097-546f-4ee6-89b0-bcf2d6ffdb4e",
    "metadata": {},
    "outputs": [],
@@ -311,7 +307,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "id": "ac588c90-1daf-4b9b-8ab7-efd5fe358c53",
    "metadata": {},
    "outputs": [],
@@ -324,7 +320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "id": "a79358ea-5d0c-4ee6-be7e-88c0eeea1f0c",
    "metadata": {},
    "outputs": [],
@@ -340,7 +336,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "id": "ed93e33a-bf63-411e-ba4d-2b01d91c6b10",
    "metadata": {},
    "outputs": [
@@ -360,7 +356,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "id": "7a74aeb4-24f3-458b-abd4-51b6293e8946",
    "metadata": {},
    "outputs": [
@@ -368,7 +364,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Encoding Batches: 100%|████████████████████████████████████████████| 169/169 [00:04<00:00, 34.05it/s]\n"
+      "Encoding Batches: 100%|████████████████████████████████████████████| 169/169 [00:07<00:00, 22.11it/s]\n"
      ]
     }
    ],
@@ -386,7 +382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "id": "2c83e408-785d-45ac-9522-386b091ac6f3",
    "metadata": {},
    "outputs": [],
@@ -400,7 +396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "id": "690fbbcf-a75e-4dd3-9dcf-8c35e4341592",
    "metadata": {},
    "outputs": [
@@ -408,16 +404,16 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2025-05-23 13:37:42,741 - BERTopic - Dimensionality - Fitting the dimensionality reduction algorithm\n",
-      "2025-05-23 13:37:50,840 - BERTopic - Dimensionality - Completed ✓\n",
-      "2025-05-23 13:37:50,840 - BERTopic - Cluster - Start clustering the reduced embeddings\n",
-      "2025-05-23 13:37:50,890 - BERTopic - Cluster - Completed ✓\n",
-      "2025-05-23 13:37:50,890 - BERTopic - Representation - Extracting topics using c-TF-IDF for topic reduction.\n",
-      "2025-05-23 13:37:50,958 - BERTopic - Representation - Completed ✓\n",
-      "2025-05-23 13:37:50,958 - BERTopic - Topic reduction - Reducing number of topics\n",
-      "2025-05-23 13:37:50,964 - BERTopic - Representation - Fine-tuning topics using representation models.\n",
-      "2025-05-23 13:37:52,325 - BERTopic - Representation - Completed ✓\n",
-      "2025-05-23 13:37:52,326 - BERTopic - Topic reduction - Reduced number of topics from 72 to 33\n"
+      "2025-05-23 19:05:30,115 - BERTopic - Dimensionality - Fitting the dimensionality reduction algorithm\n",
+      "2025-05-23 19:05:38,209 - BERTopic - Dimensionality - Completed ✓\n",
+      "2025-05-23 19:05:38,209 - BERTopic - Cluster - Start clustering the reduced embeddings\n",
+      "2025-05-23 19:05:38,259 - BERTopic - Cluster - Completed ✓\n",
+      "2025-05-23 19:05:38,259 - BERTopic - Representation - Extracting topics using c-TF-IDF for topic reduction.\n",
+      "2025-05-23 19:05:38,327 - BERTopic - Representation - Completed ✓\n",
+      "2025-05-23 19:05:38,327 - BERTopic - Topic reduction - Reducing number of topics\n",
+      "2025-05-23 19:05:38,333 - BERTopic - Representation - Fine-tuning topics using representation models.\n",
+      "2025-05-23 19:05:41,321 - BERTopic - Representation - Completed ✓\n",
+      "2025-05-23 19:05:41,322 - BERTopic - Topic reduction - Reduced number of topics from 72 to 33\n"
      ]
     }
    ],
@@ -457,7 +453,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "id": "8b4fe78a-684b-47f6-8162-c186dafc61b3",
    "metadata": {
     "scrolled": true
@@ -902,7 +898,7 @@
        "32  [At present, we have over 90 children benefiting from our programs, and we are eager to provide them with additional outdoor equipment that will contribute to their physical, social, and emotional development., This would be a great help to purchase some new forest school equipment to expand and stretch our children's learning as we are creating a forest school area., We are a thriving school with over 450 pupils who benefit from our large open space, but we currently have limited equipment ...  "
       ]
      },
-     "execution_count": 18,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }