minor app changes

App/Backend/content_filtration.py

@@ -2,7 +2,7 @@ from flask import request
 from pymongo import MongoClient
 
 def check_word_safety(word):
-    client = MongoClient("mongodb+srv://xxxx:xxxx@cluster0.kddddr.mongodb.net")
+    client = MongoClient("mongodb+srv://hearme:hearme678@cluster0.kz66vdr.mongodb.net")
     db = client['word_filtration']
     blacklist_col = db['blacklist']
     whitelist_col = db['whitelist']
@@ -16,6 +16,7 @@ def check_word_safety(word):
     whitelist_entry = whitelist_col.find_one({"word": word})
     if whitelist_entry:
         sensitive_score = whitelist_entry.get("sensitive_score")
+        print(sensitive_score)
         if sensitive_score == 1:
             return "safe"
         else:

App/Backend/flip_card_content.py

 import pymongo
 
 def getFlipCardContent():
+    
     client = pymongo.MongoClient("mongodb+srv://hearme:hearme678@cluster0.kz66vdr.mongodb.net")
     db = client['word_card']
     collection = db['card']

App/Backend/word_generation.py

 import torch
 from transformers import RobertaTokenizer, RobertaForMaskedLM
 import pymongo
+import random
 
 # Load the pretrained RoBERTa model and tokenizer
 tokenizer = RobertaTokenizer.from_pretrained('roberta-base')
 model = RobertaForMaskedLM.from_pretrained('roberta-base')
 
 def get_similar_words(input_word, top_k=3):
+    print(input_word)
+    #connect to mongoDB
+    client = pymongo.MongoClient("mongodb+srv://hearme:hearme678@cluster0.kz66vdr.mongodb.net")
+    db_0 = client['vocabulary']
+    collection_0 = db_0['object_expore']
+    cursor = collection_0.find()
+    # Print out each document
+    for document in cursor:
+        print(document)
+
+    random_word = collection_0.aggregate([{'$sample': {'size': 1}}]).next()['object']
+    input_word = random_word.strip()
+    print(input_word)
     # Create a masked sentence with the input word
     masked_sentence = f"The {input_word} is related to the {tokenizer.mask_token}."
     
@@ -39,14 +53,14 @@ def get_similar_words(input_word, top_k=3):
     
     #connect mongo
     client = pymongo.MongoClient("mongodb+srv://hearme:hearme678@cluster0.kz66vdr.mongodb.net")
-    db = client['word_card']
-    collection = db['card']
+    db_1 = client['word_card']
+    collection_1 = db_1['card']
 
     document = {"card_0": result}
-    print('---------------')
-    print(document)
+    #print('---------------')
+    #print(document)
 
-    collection.delete_many({})
-    collection.insert_one(document)
+    collection_1.delete_many({})
+    collection_1.insert_one(document)
 
     return result

App/Frontend/ReadME.md

@@ -10,5 +10,6 @@ expo install react-native-svg
 
 
 
+
 ### Start app
 expo start
\ No newline at end of file

App/Frontend/screens/ContentFiltrationScreen.js

 import React, { useState } from 'react';
 import { StyleSheet, Text, View, TextInput, Button, Alert } from 'react-native';
-import axios from 'axios';
 
 export default function ContentFiltration() {
   const [word, setWord] = useState('');
@@ -8,15 +7,24 @@ export default function ContentFiltration() {
 
   const checkWord = async () => {
     try {
-      const result = await axios.post('http://192.168.137.111:5000/check_word', {
-        word: word,
+      const response = await fetch('http://192.168.1.83:5000/check_word', {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+        body: JSON.stringify({ word: word }),
       });
-      setResponse(result.data.status);
+  
+      if (!response.ok) {
+        throw new Error('An error occurred while checking the word.');
+      }
+  
+      const result = await response.json();
+      setResponse(result.status);
     } catch (error) {
-      Alert.alert('Error', 'An error occurred while checking the word.');
+      Alert.alert('Error', error.message);
     }
   };
-
   return (
     <View style={styles.container}>
       <TextInput

App/Frontend/screens/FlipCardGameScreen.js

@@ -112,7 +112,7 @@ export default function FlipCardGame() {
 
   const fetchImagesData = async () => {
     try {
-      const response = await fetch('http://192.168.137.111:5000/api/images_data');
+      const response = await fetch('http://192.168.1.86:5000/api/images_data');
       const data = await response.json();
       //console.log(data);
   

App/Frontend/screens/HomeScreen.js

@@ -27,6 +27,11 @@ const HomeScreen = ({ navigation }) => {
         <Image source={require('./assets/home/balloon.png')} style={styles.buttonImage} resizeMode="cover" />
         <Text style={styles.buttonText}>Learn</Text>
       </TouchableOpacity>
+
+      <TouchableOpacity style={styles.buttonsettings} onPress={() => navigation.navigate('ContentFiltration')}>
+        <Image source={require('./assets/settings_icon.png')} style={styles.buttonImage} resizeMode="cover" />
+        <Text style={styles.buttonTextCensor}>Censor</Text>
+      </TouchableOpacity>
     </View>
   );
 };
@@ -108,6 +113,20 @@ const styles = StyleSheet.create({
     textShadowOffset: { width: -1, height: 1 },
     textShadowRadius: 10,
   },
+
+  buttonsettings:{
+    top:-280,
+    right:-150,
+    size:1
+  },
+  buttonTextCensor: {
+    fontSize: 22,
+    fontWeight: 'bold',
+    color: 'black',
+    marginTop: -120,
+    textShadowOffset: { width: -1, height: 1 },
+    textShadowRadius: 10,
+  },
 });
 
 export default HomeScreen;

App/Frontend/screens/WordGenerationScreen.js

@@ -20,7 +20,7 @@ const screenHeight = Dimensions.get("window").height;
 
 const fetchCards = async () => {
   try {
-    const response = await fetch('http://192.168.137.111:5000/api/similar-words?word=cat');
+    const response = await fetch('http://192.168.1.86:5000/api/similar-words?word=cat');
     const data = await response.json();
     //console.log(data)
     return data.similar_words;