Fix ext threads invoking @GPU
Browse files
app.py
CHANGED
@@ -1,7 +1,7 @@
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from threading import Thread
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from spaces import GPU
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from gradio import ChatInterface, Textbox, Slider
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-
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from transformers import Qwen2VLForConditionalGeneration, Qwen2VLProcessor, TextIteratorStreamer, AutoProcessor, BatchFeature
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from qwen_vl_utils import process_vision_info
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@@ -9,7 +9,7 @@ model_path = "Pectics/Softie-VL-7B-250123"
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model = Qwen2VLForConditionalGeneration.from_pretrained(
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model_path,
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-
torch_dtype=
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attn_implementation="flash_attention_2",
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device_map="auto",
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)
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@@ -18,9 +18,9 @@ max_pixels = 1280 * 28 * 28
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processor: Qwen2VLProcessor = AutoProcessor.from_pretrained(model_path, min_pixels=min_pixels, max_pixels=max_pixels)
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@GPU
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def infer(inputs: BatchFeature, **kwargs)
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inputs = inputs.to("cuda")
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model.generate
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def respond(
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message,
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@@ -51,7 +51,7 @@ def respond(
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temperature=temperature,
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top_p=top_p,
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)
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-
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response = ""
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for token in streamer:
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response += token
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from gradio import ChatInterface, Textbox, Slider
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from spaces import GPU
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from threading import Thread
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from torch import bfloat16
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from transformers import Qwen2VLForConditionalGeneration, Qwen2VLProcessor, TextIteratorStreamer, AutoProcessor, BatchFeature
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from qwen_vl_utils import process_vision_info
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model = Qwen2VLForConditionalGeneration.from_pretrained(
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model_path,
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+
torch_dtype=bfloat16,
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attn_implementation="flash_attention_2",
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device_map="auto",
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)
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processor: Qwen2VLProcessor = AutoProcessor.from_pretrained(model_path, min_pixels=min_pixels, max_pixels=max_pixels)
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@GPU
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def infer(inputs: BatchFeature, **kwargs):
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inputs = inputs.to("cuda")
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Thread(target=model.generate, kwargs=kwargs).start()
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def respond(
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message,
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temperature=temperature,
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top_p=top_p,
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)
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infer(**kwargs)
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response = ""
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for token in streamer:
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response += token
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