Update app.py

app.py

@@ -1,33 +1,53 @@
 import gradio as gr
+from PIL import Image, ImageEnhance, ImageFilter
 
-from infer import infer_image, infer_video
+def advanced_upscale(image, scale, enhance):
+    if image is None:
+        return None, "画像をアップロードしてください"
+    
+    # 元のサイズ
+    width, height = image.size
+    new_width = int(width * scale)
+    new_height = int(height * scale)
+    
+    # 高品質アップスケール
+    upscaled = image.resize((new_width, new_height), Image.LANCZOS)
+    
+    # 追加補正
+    if enhance:
+        # シャープネス強化
+        upscaled = upscaled.filter(ImageFilter.UnsharpMask(radius=2, percent=150, threshold=3))
+        # コントラスト・明るさ調整
+        enhancer = ImageEnhance.Contrast(upscaled)
+        upscaled = enhancer.enhance(1.1)
+        enhancer = ImageEnhance.Sharpness(upscaled)
+        upscaled = enhancer.enhance(1.3)
+    
+    # ファイルサイズ目安表示
+    import io
+    buf = io.BytesIO()
+    upscaled.save(buf, format="PNG", quality=95)
+    size_mb = len(buf.getvalue()) / (1024 * 1024)
+    
+    return upscaled, f"✅ {scale}x 完了！ 予想サイズ: {size_mb:.2f} MB"
 
-input_image = gr.Image(type='pil', label='Input Image')
-input_model_image = gr.Radio([('x2', 2), ('x4', 4), ('x8', 8)], type="value", value=4, label="Model Upscale/Enhance Type")
-submit_image_button = gr.Button('Submit')
-output_image = gr.Image(type="filepath", label="Output Image")
+with gr.Blocks(title="Kazの高画質化アプリ") as demo:
+    gr.Markdown("# 🖼️ KazのAI画像高画質化アプリ\n**改善版** - より綺麗に")
+    
+    with gr.Row():
+        with gr.Column():
+            input_img = gr.Image(label="画像をアップロード", type="pil", height=500)
+            scale = gr.Radio([2, 4, 8], value=4, label="拡大倍率（8xでかなり重くなります）")
+            enhance = gr.Checkbox(label="さらにシャープ・コントラスト強化", value=True)
+            btn = gr.Button("🚀 高画質化開始", variant="primary")
+        
+        with gr.Column():
+            output_img = gr.Image(label="処理結果", height=500)
+    
+    status = gr.Textbox(label="結果")
+    
+    btn.click(advanced_upscale, inputs=[input_img, scale, enhance], outputs=[output_img, status])
 
-tab_img = gr.Interface(
-    fn=infer_image,
-    inputs=[input_image, input_model_image],
-    outputs=output_image,
-    title="Real-ESRGAN Pytorch",
-    description="Gradio UI for Real-ESRGAN Pytorch version. To use it, simply upload your image and choose the model. Read more at the links below. Please click submit only once <br>Credits: [Nick088](https://linktr.ee/Nick088), Xinntao, Tencent, Geeve George, ai-forever, daroche <br><p style='text-align: center'><a href='https://github.com/Nick088/Real-ESRGAN_Pytorch'>Github Repo</a></p>"
-)
+    gr.Markdown("### Tips\n・4xか8xで試してみてください\n・ズームして比較すると違いが分かりやすいです")
 
-input_video = gr.Video(label='Input Video')
-input_model_video = gr.Radio([('x2', 2), ('x4', 4), ('x8', 8)], type="value", value=2, label="Model Upscale/Enhance Type")
-submit_video_button = gr.Button('Submit')
-output_video = gr.Video(label='Output Video')
-
-tab_vid = gr.Interface(
-    fn=infer_video,
-    inputs=[input_video, input_model_video],
-    outputs=output_video,
-    title="Real-ESRGAN Pytorch",
-    description="Gradio UI for Real-ESRGAN Pytorch version. To use it, simply upload your video and choose the model. Read more at the links below. Please click submit only once <br>Credits: [Nick088](https://linktr.ee/Nick088), Xinntao, Tencent, Geeve George, ai-forever, daroche <br><p style='text-align: center'><a href='https://arxiv.org/abs/2107.10833'>Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data</a> | <a href='https://github.com/ai-forever/Real-ESRGAN'>Github Repo</a></p>"
-)
-
-demo = gr.TabbedInterface([tab_img, tab_vid], ["Image", "Video"])
-
-demo.launch(debug=True, show_error=True, share=True)
+demo.launch()