Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+from sklearn.linear_model import LinearRegression
+from PIL import Image
+
+def welcome():
+    return "Welcome to the Sugarcane Growth Analysis App"
+
+def analyze_data(data):
+    # Assuming the data has a 'Week' column for the week number and a 'Growth' column for the growth value
+    X = data['Week'].values.reshape(-1,1)
+    y = data['Growth'].values.reshape(-1,1)
+    model = LinearRegression()
+    model.fit(X, y)
+    y_pred = model.predict(X)
+    return X, y, y_pred
+
+def predict_future_growth(data, future_weeks):
+    # Assuming the data has a 'Week' column for the week number and a 'Growth' column for the growth value
+    X = data['Week'].values.reshape(-1,1)
+    y = data['Growth'].values.reshape(-1,1)
+    model = LinearRegression()
+    model.fit(X, y)
+    future_weeks = np.array(future_weeks).reshape(-1,1)
+    future_growth = model.predict(future_weeks)
+    return future_weeks, future_growth
+
+def main():
+    st.title(welcome())
+    menu = ["Upload File", "Input Weekly Growth", "Upload Previous Years' Growth and Satellite Images"]
+    choice = st.sidebar.selectbox("Menu", menu)
+
+    if choice == "Upload File":
+        file = st.file_uploader("Upload your file", type=["csv", "xlsx", "ppt", "pptx", "doc", "docx"])
+        if file is not None:
+            st.success("File uploaded successfully")
+
+    elif choice == "Input Weekly Growth":
+        data = st.file_uploader("Upload your CSV file", type=["csv"])
+        if data is not None:
+            df = pd.read_csv(data)
+            X, y, y_pred = analyze_data(df)
+            st.write("Week vs Growth")
+            plt.scatter(X, y, color='blue')
+            plt.plot(X, y_pred, color='red')
+            plt.show()
+
+    elif choice == "Upload Previous Years' Growth and Satellite Images":
+        data = st.file_uploader("Upload your CSV file", type=["csv"])
+        image = st.file_uploader("Upload your satellite image", type=["png", "jpg", "jpeg"])
+        future_weeks = st.number_input("Enter the number of future weeks for prediction")
+        if data is not None and image is not None and future_weeks is not None:
+            df = pd.read_csv(data)
+            future_weeks, future_growth = predict_future_growth(df, future_weeks)
+            st.write("Future Weeks vs Predicted Growth")
+            plt.plot(future_weeks, future_growth, color='green')
+            plt.show()
+            st.image(Image.open(image), caption='Satellite Image')
+
+if __name__ == '__main__':
+    main()