Remove unnecessary requirements

api/DataProcesser.py

@@ -11,7 +11,6 @@
 from sklearn.naive_bayes import MultinomialNB
 
 import Neural_Network2
-import pickle
 import re
 import joblib
 import numpy as np

api/Neural_Network2.py

@@ -1,18 +1,13 @@
-import random
 import re
 import os
 from collections import Counter
 from functools import partial
-from pathlib import Path
 import joblib
 
 import json
-import numpy as np
-import pandas as pd
 from nltk.corpus import stopwords
 from nltk import wordpunct_tokenize
 from tqdm import tqdm
-from sklearn.metrics import classification_report
 from sklearn.preprocessing import LabelEncoder
 
 import torch

api/requirements.txt

@@ -4,7 +4,4 @@ Flask-Cors==4.0.0
 pandas==2.0.3
 nltk==3.8.1
 scikit-learn==1.3.0
-numpy==1.26.4
-seaborn==0.13.0
-tensorflow==2.16.1
-keras==3.0.0
+numpy==1.26.4

src/pages/home.tsx

@@ -28,9 +28,16 @@ export default function Home() {
  );
  setClassifiers(response.data);
  } catch (error) {
- console.error("Error fetching classifiers:", error);
+ try {
+ const response = await axios.get(
+ "http://localhost:5000/get-classifiers"
+ );
+ setClassifiers(response.data);
+ } catch (error) {
+ console.error("Error fetching classifiers:", error);
+ }
  }
- }, 15000);
+ }, 25000);
  };
 
  fetchClassifiers();