Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -1,7 +1,26 @@
|
|
1 |
import gradio as gr
|
|
|
|
|
2 |
|
3 |
-
|
4 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
5 |
|
6 |
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
|
7 |
demo.launch()
|
|
|
1 |
import gradio as gr
|
2 |
+
from model import DecoderTransformer
|
3 |
+
from huggingface_hub import hf_hub_download
|
4 |
|
5 |
+
|
6 |
+
|
7 |
+
vocab_size=33
|
8 |
+
n_embed=384
|
9 |
+
context_size=256
|
10 |
+
n_layer=6
|
11 |
+
n_head=6
|
12 |
+
dropout=0.2
|
13 |
+
|
14 |
+
model_id = "philipp-zettl/chessPT"
|
15 |
+
|
16 |
+
model_path = hf_hub_download(repo_id=model_id, filename="chessPT.pkl")
|
17 |
+
|
18 |
+
model = DecoderTransformer(vocab_size, n_embed, context_size, n_layer, n_head, dropout)
|
19 |
+
model.load_state_dict(torch.load(model_path))
|
20 |
+
|
21 |
+
|
22 |
+
def greet(prompt):
|
23 |
+
return model.generate(prompt)
|
24 |
|
25 |
demo = gr.Interface(fn=greet, inputs="text", outputs="text")
|
26 |
demo.launch()
|