Update app.py

app.py

@@ -11,11 +11,23 @@ st.set_page_config(
 )
 
 # Sidebar
-st.sidebar.image("https://cdn-icons-png.flaticon.com/512/2965/2965567.png", width=100)
 st.sidebar.title("💊 MediAssist")
 st.sidebar.markdown("Analyze prescriptions with ease using AI")
 st.sidebar.markdown("---")
-st.sidebar.markdown("👤 Developed by Yash Jadhav")
+st.sidebar.markdown("👤 Developed by **Yash Jadhav**")
+
+# Social Buttons
+st.sidebar.markdown("🔗 **Connect with me:**")
+st.sidebar.markdown("""
+<a href="https://github.com/Yashjadhav1503" target="_blank">
+    <img src="https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white" style="height:35px;">
+</a><br>
+<a href="https://www.linkedin.com/in/yash-jadhav-1503/" target="_blank">
+    <img src="https://img.shields.io/badge/LinkedIn-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white" style="height:35px;">
+</a>
+""", unsafe_allow_html=True)
+
+st.sidebar.markdown("---")
 
 # Main Title
 st.markdown("""
@@ -36,17 +48,19 @@ if uploaded_file:
         temp_file.write(uploaded_file.read())
         temp_path = temp_file.name
 
-    # Read the image using OpenCV
+    # Step 1: Read and convert to grayscale
     image = cv2.imread(temp_path)
     gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
 
-    # Apply morphological transformations
-    kernel = np.ones((2, 2), np.uint8)
-    erosion = cv2.erode(gray, kernel, iterations=1)
-    dilation = cv2.dilate(erosion, kernel, iterations=1)
+    # Step 2: Inverse Binary Thresholding
+    _, binary_inv = cv2.threshold(gray, 128, 255, cv2.THRESH_BINARY_INV)
+
+    # Step 3: Dilation with 2 iterations
+    kernel = np.ones((3, 3), np.uint8)
+    dilated = cv2.dilate(binary_inv, kernel, iterations=1)
 
     with col1:
-        st.image(dilation, caption="Preprocessed Prescription", channels="GRAY", use_column_width=True)
+        st.image(dilated, caption="Preprocessed Prescription", channels="GRAY", use_column_width=True)
 
     with col2:
         st.success("✅ Prescription Uploaded & Preprocessed Successfully")