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Runtime error
Runtime error
layerdiffusion
commited on
Commit
•
a1c7119
1
Parent(s):
a9cb4cf
- app.py +16 -1
- chat_interface.py +16 -10
app.py
CHANGED
@@ -28,6 +28,7 @@ from diffusers.models.attention_processor import AttnProcessor2_0
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from transformers import CLIPTextModel, CLIPTokenizer
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from lib_omost.pipeline import StableDiffusionXLOmostPipeline
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from chat_interface import ChatInterface
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import lib_omost.canvas as omost_canvas
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@@ -130,9 +131,23 @@ def chat_fn(message: str, history: list, seed:int, temperature: float, top_p: fl
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streamer = TextIteratorStreamer(llm_tokenizer, timeout=10.0, skip_prompt=True, skip_special_tokens=True)
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generate_kwargs = dict(
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input_ids=input_ids,
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streamer=streamer,
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max_new_tokens=max_new_tokens,
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do_sample=True,
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temperature=temperature,
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@@ -148,7 +163,7 @@ def chat_fn(message: str, history: list, seed:int, temperature: float, top_p: fl
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for text in streamer:
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outputs.append(text)
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# print(outputs)
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-
yield "".join(outputs)
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print(f'Chat end at {time.time() - time_stamp:.2f} seconds:', message)
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return
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from transformers import CLIPTextModel, CLIPTokenizer
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from lib_omost.pipeline import StableDiffusionXLOmostPipeline
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from chat_interface import ChatInterface
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+
from transformers.generation.stopping_criteria import StoppingCriteriaList
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import lib_omost.canvas as omost_canvas
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streamer = TextIteratorStreamer(llm_tokenizer, timeout=10.0, skip_prompt=True, skip_special_tokens=True)
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def interactive_stopping_criteria(input_ids: torch.LongTensor, score: torch.FloatTensor, **kwargs) -> bool:
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if getattr(streamer, 'user_interrupted', False):
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print('User stopped generation')
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return True
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else:
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return False
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stopping_criteria = StoppingCriteriaList([interactive_stopping_criteria])
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def interrupter():
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streamer.user_interrupted = True
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return
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generate_kwargs = dict(
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input_ids=input_ids,
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streamer=streamer,
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stopping_criteria=stopping_criteria,
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max_new_tokens=max_new_tokens,
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do_sample=True,
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temperature=temperature,
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for text in streamer:
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outputs.append(text)
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# print(outputs)
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yield "".join(outputs), interrupter
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print(f'Chat end at {time.time() - time_stamp:.2f} seconds:', message)
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return
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chat_interface.py
CHANGED
@@ -20,7 +20,7 @@ from gradio.components import (
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State,
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Textbox,
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get_component_instance,
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Dataset
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)
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from gradio.events import Dependency, on
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from gradio.helpers import special_args
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@@ -103,6 +103,8 @@ class ChatInterface(Blocks):
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self.pre_fn = pre_fn
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self.pre_fn_kwargs = pre_fn_kwargs
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self.multimodal = multimodal
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self.concurrency_limit = concurrency_limit
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self.fn = fn
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@@ -287,7 +289,7 @@ class ChatInterface(Blocks):
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.then(
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submit_fn,
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[self.saved_input, self.chatbot_state] + self.additional_inputs,
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[self.chatbot, self.chatbot_state],
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show_api=False,
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concurrency_limit=cast(
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Union[int, Literal["default"], None], self.concurrency_limit
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@@ -395,6 +397,11 @@ class ChatInterface(Blocks):
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def _setup_stop_events(
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self, event_triggers: list[Callable], event_to_cancel: Dependency
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) -> None:
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if self.stop_btn and self.is_generator:
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if self.submit_btn:
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for event_trigger in event_triggers:
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@@ -434,9 +441,8 @@ class ChatInterface(Blocks):
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queue=False,
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)
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self.stop_btn.click(
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-
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-
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None,
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cancels=event_to_cancel,
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show_api=False,
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)
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@@ -545,7 +551,7 @@ class ChatInterface(Blocks):
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)
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generator = SyncToAsyncIterator(generator, self.limiter)
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try:
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first_response = await async_iteration(generator)
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if self.multimodal and isinstance(message, dict):
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for x in message["files"]:
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history.append([(x,), None])
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@@ -553,21 +559,21 @@ class ChatInterface(Blocks):
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yield update, update
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else:
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update = history + [[message, first_response]]
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yield update, update
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except StopIteration:
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if self.multimodal and isinstance(message, dict):
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self._append_multimodal_history(message, None, history)
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yield history, history
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else:
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update = history + [[message, None]]
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yield update, update
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async for response in generator:
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if self.multimodal and isinstance(message, dict):
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update = history + [[message["text"], response]]
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yield update, update
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else:
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update = history + [[message, response]]
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yield update, update
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async def _api_submit_fn(
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self, message: str, history: list[list[str | None]], request: Request, *args
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State,
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Textbox,
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get_component_instance,
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Dataset,
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)
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from gradio.events import Dependency, on
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from gradio.helpers import special_args
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self.pre_fn = pre_fn
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self.pre_fn_kwargs = pre_fn_kwargs
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self.interrupter = State(None)
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self.multimodal = multimodal
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self.concurrency_limit = concurrency_limit
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self.fn = fn
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.then(
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submit_fn,
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[self.saved_input, self.chatbot_state] + self.additional_inputs,
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[self.chatbot, self.chatbot_state, self.interrupter],
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show_api=False,
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concurrency_limit=cast(
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Union[int, Literal["default"], None], self.concurrency_limit
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def _setup_stop_events(
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self, event_triggers: list[Callable], event_to_cancel: Dependency
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) -> None:
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def perform_interrupt(ipc):
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if ipc is not None:
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ipc()
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return
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if self.stop_btn and self.is_generator:
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if self.submit_btn:
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for event_trigger in event_triggers:
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queue=False,
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)
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self.stop_btn.click(
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fn=perform_interrupt,
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inputs=[self.interrupter],
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cancels=event_to_cancel,
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show_api=False,
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)
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)
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generator = SyncToAsyncIterator(generator, self.limiter)
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try:
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first_response, first_interrupter = await async_iteration(generator)
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if self.multimodal and isinstance(message, dict):
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for x in message["files"]:
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history.append([(x,), None])
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yield update, update
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else:
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update = history + [[message, first_response]]
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yield update, update, first_interrupter
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except StopIteration:
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if self.multimodal and isinstance(message, dict):
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self._append_multimodal_history(message, None, history)
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yield history, history
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else:
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update = history + [[message, None]]
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yield update, update, first_interrupter
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async for response, interrupter in generator:
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if self.multimodal and isinstance(message, dict):
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update = history + [[message["text"], response]]
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yield update, update
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else:
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update = history + [[message, response]]
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yield update, update, interrupter
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async def _api_submit_fn(
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self, message: str, history: list[list[str | None]], request: Request, *args
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