Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -1,4 +1,5 @@
|
|
1 |
import gradio as gr
|
|
|
2 |
from model import DecoderTransformer, Tokenizer
|
3 |
from huggingface_hub import hf_hub_download
|
4 |
import torch
|
@@ -29,6 +30,7 @@ tokenizer = Tokenizer.from_pretrained(tokenizer_path)
|
|
29 |
def generate(prompt):
|
30 |
model_input = torch.tensor(tokenizer.encode(prompt), dtype=torch.long, device=device).view((1, len(prompt)))
|
31 |
pgn = tokenizer.decode(model.generate(model_input, max_new_tokens=4, context_size=context_size)[0].tolist())
|
|
|
32 |
game = chess.pgn.read_game(pgn)
|
33 |
img = chess.svg.board(game.board())
|
34 |
return pgn, img
|
|
|
1 |
import gradio as gr
|
2 |
+
from io import StringIO
|
3 |
from model import DecoderTransformer, Tokenizer
|
4 |
from huggingface_hub import hf_hub_download
|
5 |
import torch
|
|
|
30 |
def generate(prompt):
|
31 |
model_input = torch.tensor(tokenizer.encode(prompt), dtype=torch.long, device=device).view((1, len(prompt)))
|
32 |
pgn = tokenizer.decode(model.generate(model_input, max_new_tokens=4, context_size=context_size)[0].tolist())
|
33 |
+
pgn = StringIO(pgn)
|
34 |
game = chess.pgn.read_game(pgn)
|
35 |
img = chess.svg.board(game.board())
|
36 |
return pgn, img
|