Create app.py

app.py

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+import streamlit as st
+import cv2
+import numpy as np
+import matplotlib.pyplot as plt
+import pandas as pd
+import plotly.express as px
+from PIL import Image
+
+def analyze_crack(image):
+    # Convert image to grayscale
+    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    
+    # Edge detection
+    edges = cv2.Canny(gray, 50, 150)
+    
+    # Finding contours
+    contours, _ = cv2.findContours(edges, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
+    
+    # Calculate crack metrics
+    crack_lengths = [cv2.arcLength(cnt, True) for cnt in contours]
+    crack_widths = [cv2.boundingRect(cnt)[2] for cnt in contours]
+    
+    return edges, crack_lengths, crack_widths
+
+def main():
+    st.set_page_config(page_title='Structural Integrity Analyst', layout='wide')
+    st.title('🏗️ Structural Integrity Analyst')
+    
+    st.sidebar.header("Upload Crack Image")
+    uploaded_file = st.sidebar.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
+    
+    if uploaded_file is not None:
+        image = Image.open(uploaded_file)
+        image = np.array(image)
+        
+        edges, crack_lengths, crack_widths = analyze_crack(image)
+        
+        st.subheader("Uploaded Image")
+        st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)
+        
+        # Display processed image
+        st.subheader("Processed Crack Detection")
+        fig, ax = plt.subplots()
+        ax.imshow(edges, cmap='gray')
+        ax.axis("off")
+        st.pyplot(fig)
+        
+        # Data Analysis
+        data = pd.DataFrame({
+            "Crack Length (pixels)": crack_lengths,
+            "Crack Width (pixels)": crack_widths
+        })
+        
+        st.subheader("Crack Metrics")
+        st.dataframe(data)
+        
+        # Visualization
+        fig1 = px.histogram(data, x="Crack Length (pixels)", title="Crack Length Distribution", nbins=10)
+        fig2 = px.histogram(data, x="Crack Width (pixels)", title="Crack Width Distribution", nbins=10)
+        
+        st.plotly_chart(fig1, use_container_width=True)
+        st.plotly_chart(fig2, use_container_width=True)
+    
+if __name__ == "__main__":
+    main()
+
+
+
+