restore py files from git lfs to regular git
Browse files
app.py
CHANGED
@@ -1,3 +1,43 @@
|
|
1 |
-
|
2 |
-
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from surrogate import CrabNetSurrogateModel
|
3 |
+
|
4 |
+
model = CrabNetSurrogateModel()
|
5 |
+
|
6 |
+
example_parameterization = parameterization = {
|
7 |
+
"N": 3,
|
8 |
+
"alpha": 0.5,
|
9 |
+
"d_model": 512,
|
10 |
+
"dim_feedforward": 2048,
|
11 |
+
"dropout": 0.1,
|
12 |
+
"emb_scaler": 1.0,
|
13 |
+
"epochs_step": 10,
|
14 |
+
"eps": 0.000001,
|
15 |
+
"fudge": 0.02,
|
16 |
+
"heads": 4,
|
17 |
+
"k": 6,
|
18 |
+
"lr": 0.001,
|
19 |
+
"pe_resolution": 5000,
|
20 |
+
"ple_resolution": 5000,
|
21 |
+
"pos_scaler": 1.0,
|
22 |
+
"weight_decay": 0,
|
23 |
+
"batch_size": 32,
|
24 |
+
"out_hidden4": 128,
|
25 |
+
"betas2": 0.9,
|
26 |
+
"betas1": 0.999,
|
27 |
+
"losscurve": False,
|
28 |
+
"learningcurve": False,
|
29 |
+
"bias": False,
|
30 |
+
"criterion": "RobustL1",
|
31 |
+
"elem_prop": "mat2vec",
|
32 |
+
"train_frac": 0.5,
|
33 |
+
}
|
34 |
+
|
35 |
+
model.surrogate_evaluate(example_parameterization)
|
36 |
+
|
37 |
+
|
38 |
+
def greet(name):
|
39 |
+
return "Hello " + name + "!!"
|
40 |
+
|
41 |
+
|
42 |
+
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
|
43 |
+
iface.launch()
|