Create app.py

app.py

@@ -0,0 +1,89 @@
+import gradio as gr
+from pathlib import Path
+
+# -----------------------------
+# Image paths
+# -----------------------------
+BASE_DIR = Path(__file__).parent
+IMAGE_DIR = BASE_DIR / "images"
+
+PRELOADED_INPUT = IMAGE_DIR / "input.jpg"
+
+OUTPUT_IMAGES = [
+    IMAGE_DIR / "out1.png",
+    IMAGE_DIR / "out2.png",
+    IMAGE_DIR / "out3.png",
+    IMAGE_DIR / "out4.png",
+    IMAGE_DIR / "out5.png",
+]
+
+
+# -----------------------------
+# Analyze function
+# -----------------------------
+def analyze_image(input_image):
+    """
+    This function receives the input image from the user.
+    When Analyze is clicked, it returns the five preloaded output images.
+    """
+
+    if input_image is None:
+        raise gr.Error("Please upload or select an input image before clicking Analyze.")
+
+    results = []
+
+    for img_path in OUTPUT_IMAGES:
+        if img_path.exists():
+            results.append(str(img_path))
+        else:
+            raise gr.Error(f"Missing image file: {img_path.name}")
+
+    return results
+
+
+# -----------------------------
+# Gradio Interface
+# -----------------------------
+with gr.Blocks(title="Cell Image Analysis") as demo:
+
+    gr.Markdown(
+        """
+        # Cell Image Analysis Demo
+
+        Upload or use the sample input image, then click **Analyze**  
+        to display the five preloaded output images.
+        """
+    )
+
+    with gr.Row():
+        with gr.Column():
+            input_image = gr.Image(
+                label="Input Image",
+                type="pil",
+                value=str(PRELOADED_INPUT) if PRELOADED_INPUT.exists() else None,
+                height=400
+            )
+
+            analyze_button = gr.Button("Analyze", variant="primary")
+
+        with gr.Column():
+            output_gallery = gr.Gallery(
+                label="Analysis Output Images",
+                columns=2,
+                rows=3,
+                height="auto",
+                object_fit="contain"
+            )
+
+    analyze_button.click(
+        fn=analyze_image,
+        inputs=input_image,
+        outputs=output_gallery
+    )
+
+
+# -----------------------------
+# Launch app
+# -----------------------------
+if __name__ == "__main__":
+    demo.launch()