dar-tau commited on
Commit
4fc6cc7
·
verified ·
1 Parent(s): 5a29303

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +10 -11
app.py CHANGED
@@ -51,11 +51,11 @@ start_messages = [
51
 
52
 
53
  # functions
54
- @dataclass
55
- class PastKV:
56
- past_key_values: Any = None
57
 
58
- past_key_values = PastKV()
59
 
60
 
61
  def past_kv_to_device(past_kv, device):
@@ -63,7 +63,7 @@ def past_kv_to_device(past_kv, device):
63
 
64
 
65
  @spaces.GPU
66
- def set_past_key_values(past_key_values):
67
  model, tokenizer = pipe.model, pipe.tokenizer
68
  tokenized = tokenizer.apply_chat_template(start_messages, return_tensors='pt')
69
 
@@ -71,26 +71,25 @@ def set_past_key_values(past_key_values):
71
  test_messages = [*start_messages, {'role': 'user', 'content': 'Hello World!'}]
72
  tokenized_test = tokenizer.apply_chat_template(test_messages, return_tensors='pt')
73
  assert (tokenized_test[:, :tokenized.shape[1]] == tokenized).all().cpu().item()
74
- past_key_values.past_key_values = model(tokenized.to(model.device)).past_key_values
75
- return True
76
 
77
 
78
  @spaces.GPU
79
- def generate(text):
80
  messages = [
81
  *start_messages,
82
  {'role': 'user', 'content': text}
83
  ]
84
  response = pipe(messages,
85
- past_key_values=past_key_values.past_key_values, #past_kv_to_device(past_key_values, pipe.model.device),
86
  **generate_kwargs)[0]['generated_text']
87
  return response[-1]['content']
88
 
89
 
90
  if __name__ == "__main__":
91
  with torch.no_grad():
92
- set_past_key_values(past_key_values)
93
  print(f'{past_key_values.past_key_values=}')
94
  demo = gr.Interface(generate,
95
- inputs="textbox", outputs="textbox")
96
  demo.launch()
 
51
 
52
 
53
  # functions
54
+ # @dataclass
55
+ # class PastKV:
56
+ # past_key_values: Any = None
57
 
58
+ # past_key_values = PastKV()
59
 
60
 
61
  def past_kv_to_device(past_kv, device):
 
63
 
64
 
65
  @spaces.GPU
66
+ def set_past_key_values():
67
  model, tokenizer = pipe.model, pipe.tokenizer
68
  tokenized = tokenizer.apply_chat_template(start_messages, return_tensors='pt')
69
 
 
71
  test_messages = [*start_messages, {'role': 'user', 'content': 'Hello World!'}]
72
  tokenized_test = tokenizer.apply_chat_template(test_messages, return_tensors='pt')
73
  assert (tokenized_test[:, :tokenized.shape[1]] == tokenized).all().cpu().item()
74
+ return gr.State(model(tokenized.to(model.device)).past_key_values)
 
75
 
76
 
77
  @spaces.GPU
78
+ def generate(text, past_key_values):
79
  messages = [
80
  *start_messages,
81
  {'role': 'user', 'content': text}
82
  ]
83
  response = pipe(messages,
84
+ past_key_values=past_key_values, #past_kv_to_device(past_key_values, pipe.model.device),
85
  **generate_kwargs)[0]['generated_text']
86
  return response[-1]['content']
87
 
88
 
89
  if __name__ == "__main__":
90
  with torch.no_grad():
91
+ past_key_values = set_past_key_values()
92
  print(f'{past_key_values.past_key_values=}')
93
  demo = gr.Interface(generate,
94
+ inputs=["textbox", gr.State(past_key_values)], outputs="textbox")
95
  demo.launch()