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app.py

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+import gradio as gr
+import os
+
+
+def image_mod(image):
+    return image.rotate(45)
+
+
+demo = gr.Interface(
+    image_mod,
+    gr.Image(type="pil"),
+    "image",
+    examples=[
+        os.path.join(os.path.dirname(__file__), "images/sample1.jpg"),
+        os.path.join(os.path.dirname(__file__), "images/sample2.jpg"),
+    ],
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+--index-url https://download.pytorch.org/whl/cpu
+torch==2.0.1
+torchvision==0.15.2
+numpy==1.25.2
+opencv-python==4.8.0.76
+transformers==4.22.1
+Pillow==9.3.0