Last Commit before UI change
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0b0f1793ec
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3 changed files with 8 additions and 8 deletions
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@ -1,4 +1,4 @@
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MONGO_URI=mongodb+srv://velar:Lokesh@1234@cluster0.mplyn1q.mongodb.net/
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MONGO_URI=mongodb+srv://velar:Lokesh%401234@cluster0.mplyn1q.mongodb.net/
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HOST=0.0.0.0
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PORT=3000
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CORS_ORIGIN=http://192.168.1.100:3000
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@ -13,12 +13,12 @@ app.use(cors({
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const predictRoute = require('./predict');
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app.use('/api/predict', predictRoute);
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// MongoDB connection
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mongoose.connect('mongodb+srv://velar:Lokesh%401234@cluster0.mplyn1q.mongodb.net/finance', {
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mongoose.connect('mongodb+srv://velar:Lokesh%401234@cluster0.mplyn1q.mongodb.net/finance?retryWrites=true&w=majority&ssl=true&appName=VelarApp', {
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useNewUrlParser: true,
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useUnifiedTopology: true,
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});
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})
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.then(() => console.log('MongoDB connected'))
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.catch(err => console.error('MongoDB connection error:', err));
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// Define schema and model
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@ -40,7 +40,7 @@ app.post('/api/transaction/add', async (req, res) => {
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const { description, amount } = req.body;
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// Call your AI prediction endpoint
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const predictRes = await axios.post('http://192.168.1.100:5000/api/predict', {
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const predictRes = await axios.post('http://10.231.31.224:5000/api/predict', {
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description,
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});
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@ -144,7 +144,7 @@ app.post('/api/transactions/voice', async (req, res) => {
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const description = cleaned || 'misc';
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// Step 3: Predict category using your Flask API
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const predictRes = await axios.post('http://192.168.1.100:5000/api/predict', {
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const predictRes = await axios.post('http://10.231.31.224:5000/api/predict', {
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description,
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});
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@ -1,3 +1,3 @@
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class Environment {
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static const String baseUrl = 'velar-bja8e3ehbba3a5h9.southindia-01.azurewebsites.net';
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static const String baseUrl = 'http://10.231.31.224:3000';
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}
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