Delete app.py

app.py

@@ -1,88 +0,0 @@
-import pandas as pd
-
-# new_data = pd.DataFrame({
-#     'gender':0,
-#     'ssc_p':55.0,
-#     'ssc_b':0,
-#     'hsc_p':75.0,
-#     'hsc_b':0,
-#     'hsc_s':1,
-#     'degree_p':65.0,
-#     'degree_t':2,
-#     'workex':0,
-#     'etest_p':55.0,
-#      'specialisation':1,
-#     'mba_p':58.8,
-# },index=[0])
-
-import joblib
-
-model = joblib.load('model_campus_placement')
-
-# p=model.predict(new_data)
-# prob=model.predict_proba(new_data)
-
-# if p[0]==1:
-#     print('Placed')
-#     print(f"You will be placed with probability of {prob[0][1]:.2f}")
-# else:
-#     print("Not-placed")
-
-import streamlit as st
-
-st.title('Campus-Placement-Prediction-Using-Machine-Learning')
-
-gender=st.number_input('gender',value=0)
-ssc_p=st.number_input('ssc_p',value=0)
-ssc_b=st.number_input('ssc_b',value=0)
-hsc_p=st.number_input('hsc_p',value=0)
-hsc_b=st.number_input('hsc_b',value=0)
-hsc_s=st.number_input('hsc_s',value=0)
-degree_p=st.number_input('degree_p',value=0)
-degree_t=st.number_input('degree_t',value=0)
-workex=st.number_input('workex',value=0)
-etest_p=st.number_input('etest_p',value=0)
-specialisation=st.number_input('specialisation',value=0)
-mba_p=st.number_input('mba_p',value=0)
-
-if st.button('submit'):
-
-    new_data = pd.DataFrame({
-        'gender':gender,
-        'ssc_p':ssc_p,
-        'ssc_b':ssc_b,
-        'hsc_p':hsc_p,
-        'hsc_b':hsc_b,
-        'hsc_s':hsc_s,
-        'degree_p':degree_p,
-        'degree_t':degree_t,
-        'workex':workex,
-        'etest_p':etest_p,
-        'specialisation':specialisation,
-        'mba_p':mba_p,
-    },index=[0])
-
-    p=model.predict(new_data)
-    prob=model.predict_proba(new_data)
-
-    
-    if p[0]==1:
-        # print('Placed')
-        st.write('Placed')
-        # print(f"You will be placed with probability of {prob[0][1]:.2f}")
-        st.write(f"You will be placed with probability of {prob[0][1]:.2f}")
-
-    else:
-        # print("Not-placed")
-        st.write('Not-placed')
-
-
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