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kiarashrahmanikiarashrahmani
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updating codes
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‎.ipynb_checkpoints/Simple Search engine-checkpoint.ipynb

Lines changed: 1 addition & 94 deletions
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@@ -1187,101 +1187,8 @@
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"id": "3a08b08b",
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"metadata": {},
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"source": [
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"## <span style=\"font-family: Cambria;\">Step6: </span>"
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"## <span style=\"font-family: Cambria;\">Hope you enjoyed it! </span>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"id": "7f153c70",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Stored search input: \n",
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"\n",
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"\n",
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"\n",
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"Stored search input: \n",
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"\n",
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"\n",
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"\n",
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"Stored search input: \n",
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"\n",
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"\n",
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"\n",
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"Stored search input: \n",
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"\n",
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"\n",
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"\n"
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]
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}
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],
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"source": [
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"import tkinter as tk\n",
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"from tkinter import scrolledtext\n",
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"import pandas as pd\n",
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"\n",
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"def store_search_input():\n",
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" # Get the content of the ScrolledText widget\n",
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" search_query = result_text.get(1.0, tk.END)\n",
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" print(f\"Stored search input: {search_query}\")\n",
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"\n",
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" print( search_query)\n",
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"def perform_search():\n",
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" # Read the ranked output file\n",
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" ranked_df = pd.read_csv('ranked_output.csv')\n",
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"\n",
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" # Get the top 10 IDs\n",
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" top_ids = ranked_df['id'].head(10).tolist()\n",
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"\n",
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" # Read the output file\n",
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" output_df = pd.read_csv('output.csv', index_col='id')\n",
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"\n",
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" # Display the sentences corresponding to the top IDs\n",
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" result_text.delete(1.0, tk.END) # Clear the previous results\n",
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"\n",
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" for id in top_ids:\n",
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" if id in output_df.index:\n",
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" sentence = output_df.loc[id, 'sentence']\n",
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" result_text.insert(tk.END, f\"{id}: {sentence}\\n\")\n",
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" else:\n",
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" result_text.insert(tk.END, f\"{id}: Not found\\n\")\n",
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"\n",
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"# Create the main window\n",
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"root = tk.Tk()\n",
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"root.title(\"Search Engine\")\n",
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"\n",
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"# Create a StringVar to store the search input\n",
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"kiarash_string = tk.StringVar()\n",
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"\n",
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"search_entry = tk.Entry(root, width=40, textvariable=kiarash_string)\n",
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"search_entry.grid(row=0, column=0, padx=10, pady=10)\n",
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"\n",
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"# Button to store search input\n",
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"store_button = tk.Button(root, text=\"Store Input\", command=store_search_input)\n",
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"store_button.grid(row=0, column=1, padx=10, pady=10)\n",
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"\n",
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"# Button to perform search\n",
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"search_button = tk.Button(root, text=\"Perform Search\", command=perform_search)\n",
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"search_button.grid(row=0, column=2, padx=10, pady=10)\n",
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"\n",
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"result_text = scrolledtext.ScrolledText(root, width=50, height=10, wrap=tk.WORD)\n",
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"result_text.grid(row=1, column=0, columnspan=3, padx=10, pady=10)\n",
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"\n",
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"# Run the Tkinter event loop\n",
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"root.mainloop()\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e8732cc7",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

‎Simple Search engine.ipynb

Lines changed: 1 addition & 94 deletions
Original file line numberDiff line numberDiff line change
@@ -1187,101 +1187,8 @@
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"id": "3a08b08b",
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"metadata": {},
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"source": [
1190-
"## <span style=\"font-family: Cambria;\">Step6: </span>"
1190+
"## <span style=\"font-family: Cambria;\">Hope you enjoyed it! </span>"
11911191
]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"id": "7f153c70",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Stored search input: \n",
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"\n",
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"\n",
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"\n",
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"Stored search input: \n",
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"\n",
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"\n",
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"\n",
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"Stored search input: \n",
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"\n",
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"\n",
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"\n",
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"Stored search input: \n",
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"\n",
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"\n",
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"\n"
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]
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}
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],
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"source": [
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"import tkinter as tk\n",
1224-
"from tkinter import scrolledtext\n",
1225-
"import pandas as pd\n",
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"\n",
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"def store_search_input():\n",
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" # Get the content of the ScrolledText widget\n",
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" search_query = result_text.get(1.0, tk.END)\n",
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" print(f\"Stored search input: {search_query}\")\n",
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"\n",
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" print( search_query)\n",
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"def perform_search():\n",
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" # Read the ranked output file\n",
1235-
" ranked_df = pd.read_csv('ranked_output.csv')\n",
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"\n",
1237-
" # Get the top 10 IDs\n",
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" top_ids = ranked_df['id'].head(10).tolist()\n",
1239-
"\n",
1240-
" # Read the output file\n",
1241-
" output_df = pd.read_csv('output.csv', index_col='id')\n",
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"\n",
1243-
" # Display the sentences corresponding to the top IDs\n",
1244-
" result_text.delete(1.0, tk.END) # Clear the previous results\n",
1245-
"\n",
1246-
" for id in top_ids:\n",
1247-
" if id in output_df.index:\n",
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" sentence = output_df.loc[id, 'sentence']\n",
1249-
" result_text.insert(tk.END, f\"{id}: {sentence}\\n\")\n",
1250-
" else:\n",
1251-
" result_text.insert(tk.END, f\"{id}: Not found\\n\")\n",
1252-
"\n",
1253-
"# Create the main window\n",
1254-
"root = tk.Tk()\n",
1255-
"root.title(\"Search Engine\")\n",
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"\n",
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"# Create a StringVar to store the search input\n",
1258-
"kiarash_string = tk.StringVar()\n",
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"\n",
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"search_entry = tk.Entry(root, width=40, textvariable=kiarash_string)\n",
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"search_entry.grid(row=0, column=0, padx=10, pady=10)\n",
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"\n",
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"# Button to store search input\n",
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"store_button = tk.Button(root, text=\"Store Input\", command=store_search_input)\n",
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"store_button.grid(row=0, column=1, padx=10, pady=10)\n",
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"\n",
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"# Button to perform search\n",
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"search_button = tk.Button(root, text=\"Perform Search\", command=perform_search)\n",
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"search_button.grid(row=0, column=2, padx=10, pady=10)\n",
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"\n",
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"result_text = scrolledtext.ScrolledText(root, width=50, height=10, wrap=tk.WORD)\n",
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"result_text.grid(row=1, column=0, columnspan=3, padx=10, pady=10)\n",
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"\n",
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"# Run the Tkinter event loop\n",
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"root.mainloop()\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e8732cc7",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

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