Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -35,8 +35,8 @@ if input_text:
|
|
35 |
|
36 |
# Tokenize the input text and history
|
37 |
inputs = tokenizer.encode_plus(history_string, return_tensors="pt")
|
38 |
-
inputs["input_ids"] = torch.cat([inputs["input_ids"], torch.tensor([tokenizer.sep_token_id])], dim=-1)
|
39 |
-
inputs["attention_mask"] = torch.cat([inputs["attention_mask"], torch.tensor([1])], dim=-1)
|
40 |
inputs = tokenizer.encode_plus(input_text, return_tensors="pt", add_special_tokens=False)
|
41 |
inputs["input_ids"] = torch.cat([inputs["input_ids"], inputs["input_ids"]], dim=-1)
|
42 |
inputs["attention_mask"] = torch.cat([inputs["attention_mask"], inputs["attention_mask"]], dim=-1)
|
|
|
35 |
|
36 |
# Tokenize the input text and history
|
37 |
inputs = tokenizer.encode_plus(history_string, return_tensors="pt")
|
38 |
+
inputs["input_ids"] = torch.cat([inputs["input_ids"], torch.tensor([[tokenizer.sep_token_id]])], dim=-1)
|
39 |
+
inputs["attention_mask"] = torch.cat([inputs["attention_mask"], torch.tensor([[1]])], dim=-1)
|
40 |
inputs = tokenizer.encode_plus(input_text, return_tensors="pt", add_special_tokens=False)
|
41 |
inputs["input_ids"] = torch.cat([inputs["input_ids"], inputs["input_ids"]], dim=-1)
|
42 |
inputs["attention_mask"] = torch.cat([inputs["attention_mask"], inputs["attention_mask"]], dim=-1)
|