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eda.py

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+import streamlit as st
+import pandas as pd
+import seaborn as sns
+import matplotlib.pyplot as plt
+import plotly.express as px
+
+
+def run():
+    # title
+    st.title('Are you ok today?')
+
+    # sub header
+    st.subheader('I did analysis for you!')
+
+    # lines
+    st.markdown('---')
+
+    # show dataframe
+    df = pd.read_csv('sentiments_filtered.csv')
+    st.dataframe(df)
+
+    # figure plot
+    st.write('#### Plot distribution of sentiments')
+    fig = plt.figure(figsize=(15, 5))
+    sns.countplot(x='sentiment', data=df)
+    st.pyplot(fig)
+
+    # histogram of word cloud
+    st.write('####  Histogram Plot')
+    option = st.selectbox('Choose column: ', ('text', 'sentiment'))
+    fig = plt.figure(figsize=(15, 5))
+    sns.histplot(df[option], bins=30, kde=True)
+    st.pyplot(fig)
+
+
+if __name__ == '__main__':
+    run()

prediction.py

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+import pandas as pd
+from tensorflow.keras.models import load_model
+import streamlit as st
+
+model = load_model('/Users/wismaeka/Documents/ds/p2-ftds033-rmt-g7-wismaeka')
+
+
+def run():
+    st.title('How are you feeling today?')
+    st.write('This is a simple web app to predict sentiment of a text using deep learning. Input your feeling below to get the prediction.')
+    st.write('Trust me, I have analyzed it for you!')
+
+    text = st.text_input('Text', 'I feel so sad today')
+
+    def convert_to_label(pred):
+        if pred == 0:
+            return 'Normal'
+        elif pred == 1:
+            return 'Suicidal'
+        elif pred == 2:
+            return 'Anxiety'
+        elif pred == 3:
+            return 'Depression'
+        elif pred == 4:
+            return 'Stress'
+        elif pred == 5:
+            return 'Bipolar'
+        elif pred == 6:
+            return 'Personality Disorder'
+        else:
+            return 'Unknown'
+
+    if st.button("Predict Your Feeling"):
+        prediction = model.predict(text)
+        label = convert_to_label(prediction)
+        if label == 'Normal':
+            st.success('Hi! Keep up the good work! You are feeling Okay today.')
+        elif label == 'Suicidal':
+            st.error('Hi! I detect you are feeling Suicidal. Please seek help.')
+        elif label == 'Anxiety':
+            st.error('Hi! I detect you are feeling Anxious. You may want to talk to someone.')
+        elif label == 'Depression':
+            st.error('Hi! I detect you are feeling Depressed. Please seek help.')
+        elif label == 'Stress':
+            st.error('Hi! I detect you are feeling Stressed. Please take a break.')
+        elif label == 'Bipolar':
+            st.error('Hi! I detect you are feeling Bipolar. Please seek help.')
+        elif label == 'Personality Disorder':
+            st.error('Hi! I detect you are having Personality Disorder. Please seek help.')
+        else:
+            st.error('Hi! I cannot detect your feeling. Please try again.')
+
+
+if __name__ == '__main__':
+    run()

requirements.txt

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+streamlit==1.36.0
+plotly==5.22.0
+seaborn==0.13.2
+pandas==2.2.2
+matplotlib==3.9.1
+tensorflow==2.6.0