--- a
+++ b/app.py
@@ -0,0 +1,139 @@
+import numpy as np
+import streamlit as st
+import pickle
+import time
+import base64
+
+bg = "static/bg2.jpg"
+bg_ext = "jpg"
+
+st.markdown(
+    f"""
+    <style>
+    .reportview-container {{
+        background: url(data:image/{bg_ext};base64,{base64.b64encode(open(bg, "rb").read()).decode()})
+    }}
+    </style>
+    """,
+    unsafe_allow_html=True
+)
+
+st.title("Lung Cancer Prediction")
+st.subheader("Enter Details")
+
+arr = []
+
+col1, col2 = st.columns(2)
+with col1:
+    x = st.selectbox('Gender',['Male','Female'])
+    if x=='Male':
+        arr.append(1)
+    else:
+        arr.append(0)
+
+with col2:
+    x = st.number_input('Age',0,100,1)
+    arr.append(x)
+
+col1, col2, col3 = st.columns(3)
+with col1:
+    x = st.selectbox('Smoking',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+with col2:
+    x = st.selectbox('Yellow Fingers',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+with col3:
+    x = st.selectbox('Anxiety',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+
+
+col1, col2, col3 = st.columns(3)
+with col1:
+    x = st.selectbox('Peer Pressure',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+with col2:
+    x = st.selectbox('Chronic Disease',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+with col3:
+    x = st.selectbox('Fatigue',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+
+
+col1, col2, col3 = st.columns(3)
+with col1:
+    x = st.selectbox('Allergy',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+with col2:
+    x = st.selectbox('Weezing',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+with col3:
+    x = st.selectbox('Alcohol Consumption',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+
+
+col1, col2, col3, col4 = st.columns(4)
+with col1:
+    x = st.selectbox('Coughing',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+with col2:
+    x = st.selectbox('Shortness Of Breath',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+with col3:
+    x = st.selectbox('Swallowing Difficulty',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+with col4:
+    x = st.selectbox('Chest Pain',['Yes','No'])
+    if x=='Yes':
+        arr.append(1)
+    else:
+        arr.append(0)
+
+
+
+if st.button('Predict'):
+    lst = np.array(arr).reshape(1, 15)
+    loaded_model = pickle.load(open("model/lung_cancer.pkl", "rb"))
+    result = loaded_model.predict(lst)
+
+    with st.spinner("Predicting.....Have Patience"):
+        time.sleep(2)
+    if result==1:
+        st.error("Chance Of Disease")
+    if result==0:
+        st.success("No Chance Of Disease")