git ignore

.gitignore

@@ -0,0 +1 @@
+__pycache__

src/FAISS.ipynb

@@ -2,9 +2,21 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "ename": "",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
+      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
+      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
+      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
+     ]
+    }
+   ],
    "source": [
     "# Create vectorstore\n",
     "import pandas as pd\n",
@@ -13,7 +25,7 @@
     "from langchain_community.vectorstores import FAISS\n",
     "\n",
     "\n",
-    "df = pd.read_pickle(\"C:\\\\Users\\Tom\\SynologyDrive\\Programming\\\\NLP\\PoliticsToYou\\ChatBot\\Speeches\\speeches_1949_09_12.pkl\")\n",
+    "df = pd.read_pickle(\"C:\\\\Users\\Tom\\SynologyDrive\\Tom\\Programming\\\\NLP\\Spaces\\PoliticsToYou\\src\\Speeches\\speeches_1949_09_12\")\n",
     "# Split speeches into documents\n",
     "documents = load_documents(df)\n",
     "embeddings = HuggingFaceEmbeddings(model_name=\"paraphrase-multilingual-MiniLM-L12-v2\")\n",

src/Speeches/querry.ipynb

@@ -19,14 +19,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\Tom\\AppData\\Local\\Temp\\ipykernel_21040\\1041354989.py:12: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n",
+      "C:\\Users\\Tom\\AppData\\Local\\Temp\\ipykernel_32\\2374447718.py:12: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n",
       "  df = pd.read_sql_query(\"\"\"SELECT s.id,s.speech_content,s.date,f.abbreviation AS party\n"
      ]
     }
@@ -60,7 +60,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -203,7 +203,7 @@
        "[930960 rows x 4 columns]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -215,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [