data
Browse files
app.py
CHANGED
@@ -49,6 +49,9 @@ class RangeModel(nn.Module):
|
|
49 |
|
50 |
model = RangeModel()
|
51 |
model.load_state_dict(torch.load("model/demo_model.pt", map_location=torch.device('cpu')))
|
|
|
|
|
|
|
52 |
|
53 |
species = np.load("data/species_70b.npy", allow_pickle=True)
|
54 |
clas = np.load("data/class_70b.npy", allow_pickle=True)
|
@@ -62,8 +65,6 @@ order_list = list(order[()].keys())
|
|
62 |
#genus_list = list(genus[()].keys())
|
63 |
#family_list = list(family[()].keys())
|
64 |
|
65 |
-
#pos_embed = np.load("data/pos_embed.npy", allow_pickle=True)
|
66 |
-
|
67 |
def update_fn(val):
|
68 |
if val=="Class":
|
69 |
return gr.Dropdown(label="Name", choices=class_list, interactive=True)
|
|
|
49 |
|
50 |
model = RangeModel()
|
51 |
model.load_state_dict(torch.load("model/demo_model.pt", map_location=torch.device('cpu')))
|
52 |
+
pos_embed = np.load("data/pos_embed.npy", allow_pickle=True)
|
53 |
+
model.x = torch.tensor(pos_embed).unsqueeze(0).float()
|
54 |
+
model.eval()
|
55 |
|
56 |
species = np.load("data/species_70b.npy", allow_pickle=True)
|
57 |
clas = np.load("data/class_70b.npy", allow_pickle=True)
|
|
|
65 |
#genus_list = list(genus[()].keys())
|
66 |
#family_list = list(family[()].keys())
|
67 |
|
|
|
|
|
68 |
def update_fn(val):
|
69 |
if val=="Class":
|
70 |
return gr.Dropdown(label="Name", choices=class_list, interactive=True)
|