Create app.py

app.py

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+import streamlit as st
+import cv2
+import numpy as np
+import tempfile
+import os
+
+st.set_page_config(
+    page_title="MediAssist - Prescription Analyzer",
+    layout="wide",
+    page_icon="💊"
+)
+
+# 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")
+
+# Main Title
+st.markdown("""
+    <h1 style='text-align: center; color: #4A90E2;'>🧠 MediAssist</h1>
+    <h3 style='text-align: center;'>Prescription Analyzer using AI and OCR</h3>
+    <p style='text-align: center;'>Upload a doctor's prescription image, and MediAssist will extract, translate, and explain it for you.</p>
+    <br>
+""", unsafe_allow_html=True)
+
+# Image Upload
+uploaded_file = st.file_uploader("📤 Upload Prescription Image (JPG/PNG)", type=["jpg", "jpeg", "png"])
+
+# Columns for layout
+col1, col2 = st.columns([1, 2])
+
+if uploaded_file:
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as temp_file:
+        temp_file.write(uploaded_file.read())
+        temp_path = temp_file.name
+
+    # Read the image using OpenCV
+    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)
+
+    with col1:
+        st.image(dilation, caption="Preprocessed Prescription", channels="GRAY", use_column_width=True)
+
+    with col2:
+        st.success("✅ Prescription Uploaded & Preprocessed Successfully")
+
+        # Placeholder text (replace with actual OCR + LLM output later)
+        st.markdown("### 📜 Extracted Text")
+        st.code("Paracetamol 500mg\nTake 1 tablet twice a day after meals", language='text')
+
+        st.markdown("### 🌐 Translated Text")
+        st.code("पेरासिटामोल 500 मिलीग्राम\nभोजन के बाद दिन में दो बार 1 गोली लें", language='text')
+
+        st.markdown("### ⏱️ Tablet Timing & Instructions")
+        st.info("- Morning after breakfast\n- Night after dinner\n- Take with water\n- Do not exceed 2 tablets in 24 hours")
+
+        st.markdown("### ⚠️ Possible Side Effects")
+        st.warning("- Nausea\n- Dizziness\n- Liver damage (on overdose)")
+
+    os.remove(temp_path)
+
+else:
+    st.image("https://cdn.dribbble.com/users/285475/screenshots/14711920/media/bd46dc2873f7099e4ef9fd53e6f7f1df.png", width=600)
+    st.markdown("<center><i>Upload a prescription image to begin analysis.</i></center>", unsafe_allow_html=True)