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README.md

@@ -1,10 +1,10 @@
 ---
-title: Process Toy
-emoji: 📊
-colorFrom: indigo
-colorTo: indigo
+title: Process Optimization Toy Example
+emoji: 🏭
+colorFrom: yellow
+colorTo: purple
 sdk: gradio
-sdk_version: 4.22.0
+sdk_version: 4.21.0
 app_file: app.py
 pinned: false
 license: mit

app.py

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+import gradio as gr
+import numpy as np
+
+
+# Goal: Minimize
+def process(
+    x1,
+    x2,
+    x3,
+    x4,
+    x5,
+    x6,
+    x7,
+    x8,
+    x9,
+    x10,
+    x11,
+    x12,
+    x13,
+    x14,
+    x15,
+    x16,
+    x17,
+    x18,
+    x19,
+    x20,
+):
+    y = (
+        (x1 - 2) ** 2
+        + 0.8 * x3
+        + 0.4 * (x6 + 1) ** 2
+        + (x12) ** 2
+        - 0.3 * (x18 - 2) ** 2
+        + x1 * x6
+    )
+
+    return y
+
+
+defaults = np.random.uniform(0, 1, 20)
+
+iface = gr.Interface(
+    fn=process,
+    inputs=[
+        gr.Slider(minimum=0.0, maximum=1.0, value=defaults[k], label=f"x{k+1}")
+        for k in range(20)
+    ],
+    outputs=gr.Number(process(*defaults), label="process function value (minimize)"),
+)
+iface.launch()

gitattributes

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requirements.txt

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+numpy
+gradio