Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -31,7 +31,6 @@ SYSTEM_PROMPT = (
|
|
| 31 |
"Never say 'the answer is...'. Only return the answer.\n"
|
| 32 |
)
|
| 33 |
|
| 34 |
-
# Local wrapper for facebook/bart-base that exposes generate()
|
| 35 |
class LocalBartModel:
|
| 36 |
def __init__(self, model_name="facebook/bart-base"):
|
| 37 |
self.tokenizer = BartTokenizer.from_pretrained(model_name)
|
|
@@ -40,12 +39,18 @@ class LocalBartModel:
|
|
| 40 |
self.model.to(self.device)
|
| 41 |
|
| 42 |
def generate(self, input_ids, **generate_kwargs):
|
| 43 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
|
| 45 |
def __call__(self, prompt: str) -> str:
|
| 46 |
-
inputs = self.tokenizer(prompt, return_tensors="pt")
|
|
|
|
|
|
|
| 47 |
output_ids = self.generate(
|
| 48 |
-
|
| 49 |
max_length=100,
|
| 50 |
num_beams=5,
|
| 51 |
early_stopping=True
|
|
|
|
| 31 |
"Never say 'the answer is...'. Only return the answer.\n"
|
| 32 |
)
|
| 33 |
|
|
|
|
| 34 |
class LocalBartModel:
|
| 35 |
def __init__(self, model_name="facebook/bart-base"):
|
| 36 |
self.tokenizer = BartTokenizer.from_pretrained(model_name)
|
|
|
|
| 39 |
self.model.to(self.device)
|
| 40 |
|
| 41 |
def generate(self, input_ids, **generate_kwargs):
|
| 42 |
+
# Defensive: convert list input_ids to tensor if needed
|
| 43 |
+
if isinstance(input_ids, list):
|
| 44 |
+
input_ids = torch.tensor(input_ids)
|
| 45 |
+
input_ids = input_ids.to(self.device)
|
| 46 |
+
return self.model.generate(input_ids, **generate_kwargs)
|
| 47 |
|
| 48 |
def __call__(self, prompt: str) -> str:
|
| 49 |
+
inputs = self.tokenizer(prompt, return_tensors="pt")
|
| 50 |
+
input_ids = inputs.input_ids # tensor here
|
| 51 |
+
|
| 52 |
output_ids = self.generate(
|
| 53 |
+
input_ids,
|
| 54 |
max_length=100,
|
| 55 |
num_beams=5,
|
| 56 |
early_stopping=True
|