Create app.py

app.py

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+import streamlit as st
+import cv2
+import numpy as np
+from PIL import Image
+
+st.set_page_config(page_title="AI Image Enhancer", page_icon="🖼️")
+
+st.title("🖼️ Image Quality Enhancer (HD + Deblur)")
+
+uploaded_file = st.file_uploader("Upload Image", type=["jpg", "png", "jpeg"])
+
+def enhance_image(image, scale=2):
+    img = np.array(image)
+
+    # Upscale (pseudo 4K)
+    width = int(img.shape[1] * scale)
+    height = int(img.shape[0] * scale)
+    resized = cv2.resize(img, (width, height), interpolation=cv2.INTER_CUBIC)
+
+    # Denoise
+    denoised = cv2.fastNlMeansDenoisingColored(resized, None, 10, 10, 7, 21)
+
+    # Sharpen
+    kernel = np.array([[0, -1, 0],
+                       [-1, 5,-1],
+                       [0, -1, 0]])
+    sharpened = cv2.filter2D(denoised, -1, kernel)
+
+    return sharpened
+
+if uploaded_file:
+    image = Image.open(uploaded_file)
+
+    st.subheader("Original Image")
+    st.image(image, use_column_width=True)
+
+    scale = st.slider("Upscale Level", 1, 4, 2)
+
+    if st.button("Enhance Image"):
+        enhanced = enhance_image(image, scale)
+
+        st.subheader("Enhanced Image")
+        st.image(enhanced, use_column_width=True)
+
+        # Download
+        result = Image.fromarray(enhanced)
+        st.download_button(
+            "Download Image",
+            data=result.tobytes(),
+            file_name="enhanced.png",
+            mime="image/png"
+        )
+
+st.markdown("---")
+st.caption("Built with ❤️ using Streamlit")