Upload 3 files

app.py

@@ -0,0 +1,29 @@
+import gradio as gr
+import numpy as np
+from tensorflow.keras.models import load_model
+from tensorflow.keras.preprocessing import image
+from PIL import Image
+
+# Load model
+model = load_model("trained_image_model.h5")
+class_labels = ['original', 'screen_photo', 'screenshots']
+
+# Prediction function
+def predict_image(img: Image.Image):
+    img = img.resize((224, 224))
+    img_array = image.img_to_array(img) / 255.0
+    img_array = np.expand_dims(img_array, axis=0)
+    prediction = model.predict(img_array)
+    predicted_class = np.argmax(prediction, axis=1)[0]
+    return class_labels[predicted_class]
+
+# Gradio UI
+interface = gr.Interface(
+    fn=predict_image,
+    inputs=gr.Image(type="pil"),
+    outputs="text",
+    title="📸 Image Type Classifier",
+    description="Upload an image to classify it as: Original Photo, Screen Photo, or Screenshot."
+)
+
+interface.launch()

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+tensorflow
+Pillow

trained_image_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bce77a49862e378c0318f24ef44bd868cd609d00c857a4b7de606432f71c3566
+size 134079792