initial

README.md

@@ -1,10 +1,10 @@
 ---
-title: FrontendGermanTrafficSignRecognition
-emoji: 📚
-colorFrom: pink
-colorTo: blue
+title: Frontend German Traffic Sign Recognition
+emoji: 📊
+colorFrom: purple
+colorTo: gray
 sdk: streamlit
-sdk_version: 1.15.2
+sdk_version: 1.10.0
 app_file: app.py
 pinned: false
 ---

app.py

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+import streamlit as st
+import pandas as pd
+import requests
+
+def run():
+    with st.form(key='form_parameters'):
+        customerID = st.text_input('Customer ID')
+        gender = st.radio('Gender', ('Male', 'Female'))
+        SeniorCitizen = st.radio('Is a Senior Citizen', (0, 1))
+        Partner = st.radio('Have a Partner', ('Yes', 'No'))
+        Dependents = st.radio('Have any Dependents', ('Yes', 'No'))
+
+        PhoneService = st.radio('Phone Service', ('Yes', 'No'))
+        MultipleLines = st.radio('Multiple Lines', ('Yes', 'No', 'No phone service'))
+        InternetService = st.radio('Internet Service', ('DSL', 'Fiber Optic', 'No'))
+        OnlineSecurity = st.radio('Online Security', ('Yes', 'No', 'No internet service'))
+        OnlineBackup = st.radio('Online Backup', ('Yes', 'No', 'No internet service'))
+        DeviceProtection = st.radio('Device Protection', ('Yes', 'No', 'No internet service'))
+        TechSupport = st.radio('Tech Support', ('Yes', 'No', 'No internet service'))
+        StreamingTV = st.radio('Streaming TV', ('Yes', 'No', 'No internet service'))
+        StreamingMovies = st.radio('Streaming Movies', ('Yes', 'No', 'No internet service'))
+
+        tenure = st.number_input('Tenure', min_value=1, value=5)
+        Contract = st.radio('Contract Term', ('Month-to-month', 'One year', 'Two year'))
+        PaperlessBilling = st.radio('Paperless Billing', ('Yes', 'No'))
+        PaymentMethod = st.radio('Payment Method', ('Bank transfer (automatic)', 'Credit card (automatic)', 'Electronic check', 'Mailed check'))
+        MonthlyCharges = st.number_input('Monthly Charges', min_value=0, value=50)
+        TotalCharges = st.number_input('Total Charges', min_value=0, value=1000)
+
+        submitted = st.form_submit_button('Predict')
+    
+    # Create A New data
+    data_inf = {
+        'customerID': customerID,
+        'gender': gender, 
+        'SeniorCitizen': SeniorCitizen, 
+        'Partner': Partner, 
+        'Dependents': Dependents,
+        'PhoneService': PhoneService, 
+        'MultipleLines': MultipleLines, 
+        'InternetService': InternetService, 
+        'OnlineSecurity': OnlineSecurity, 
+        'OnlineBackup': OnlineBackup,
+        'DeviceProtection': DeviceProtection,
+        'TechSupport': TechSupport, 
+        'StreamingTV': StreamingTV, 
+        'StreamingMovies': StreamingMovies, 
+        'tenure': tenure,
+        'Contract': Contract, 
+        'PaperlessBilling': PaperlessBilling, 
+        'PaymentMethod': PaymentMethod, 
+        'MonthlyCharges': MonthlyCharges, 
+        'TotalCharges': TotalCharges
+    }
+
+    if submitted:
+        # Show Inference DataFrame
+        st.dataframe(pd.DataFrame([data_inf]))
+        print('[DEBUG] Data Inference : \n', data_inf)
+        
+        # Predict
+        URL = "https://backend-m1p2-casheu.koyeb.app/predict"
+        r = requests.post(URL, json=data_inf)
+
+        if r.status_code == 200:
+            res = r.json()
+            st.write('## Prediction : ', res['label_names'])
+            print('[DEBUG] Result : ', res)
+            print('')
+        else:
+            st.write('Error with status code ', str(r.status_code))
+        
+
+if __name__ == '__main__':
+    run()

requirements.txt

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+streamlit
+pandas