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Update app.py
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app.py
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@@ -1,3 +1,4 @@
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import streamlit as st
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import re
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import pandas as pd
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@@ -19,6 +20,7 @@ import matplotlib.pyplot as plt
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import seaborn as sns
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# for using TensorFlow for deep learning
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from tensorflow.keras.models import Sequential
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from tensorflow.keras.layers import Dense
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import torch.optim as optim
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import torch.nn.functional as F
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# Load your symptom-disease data
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data = pd.read_csv("Symptom2Disease.csv")
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+
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import streamlit as st
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import re
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import pandas as pd
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import seaborn as sns
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+
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# for using TensorFlow for deep learning
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from tensorflow.keras.models import Sequential
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from tensorflow.keras.layers import Dense
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import torch.optim as optim
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import torch.nn.functional as F
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# Load your symptom-disease data
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data = pd.read_csv("Symptom2Disease.csv")
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