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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/opt/anaconda3/envs/teach-bs/lib/python3.11/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"
]
}
],
"source": [
"from categories.fluency import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Sentence: The car hit the cone.\n"
]
}
],
"source": [
"s = input(\"Enter a sentence: \") # Prompt the user to enter a sentence\n",
"\n",
"if s == \"\":\n",
" s = \"The cat sat the quickly up apples banana.\"\n",
"\n",
"print(\"Sentence:\", s) # Print the input sentence\n",
"\n",
"err = grammar_errors(s) # Call the function to execute the grammar error checking\n",
"flu = pseudo_perplexity(s) # Call the function to execute the fluency checking"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Perplexity above threshold: 0: The\n",
"[{'start': 0, 'end': 0, 'message': 'Perplexity above threshold: 0'}]\n"
]
}
],
"source": [
"combined_err = err[\"errors\"] + flu[\"errors\"] # Combine the error counts from both functions\n",
"\n",
"for e in combined_err:\n",
" substr = \" \".join(s.split(\" \")[e[\"start\"]:e[\"end\"]+1])\n",
" print(f\"{e['message']}: {substr}\") # Print the error messages\n",
"\n",
"print(combined_err)\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Fluency Score: 30.0\n"
]
}
],
"source": [
"fluency_score = 0.6 * err[\"score\"] + 0.4 * flu[\"score\"] # Calculate the fluency score\n",
"print(\"Fluency Score:\", fluency_score) # Print the fluency score"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "teach-bs",
"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": "3.11.11"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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