Update app.py
Browse files
app.py
CHANGED
@@ -11,7 +11,7 @@ from PIL import Image
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vl_model = Qwen2VLForConditionalGeneration.from_pretrained(
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"Qwen/Qwen2-VL-2B-Instruct", torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32, device_map="auto"
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)
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vl_processor = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-2B-Instruct", max_pixels=
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# Load Text Model
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model_name = "Qwen/Qwen2.5-Math-1.5B-Instruct"
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@@ -96,7 +96,7 @@ with gr.Blocks(css=css) as demo:
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with gr.Column():
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with gr.Tabs() as input_tabs:
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with gr.Tab("Upload"):
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input_image = gr.Image(type="pil", label="Upload")
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with gr.Tab("Sketch"):
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input_sketchpad = gr.Sketchpad(type="pil", label="Sketch", layers=False)
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input_tabs.select(fn=tabs_select, inputs=[state])
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vl_model = Qwen2VLForConditionalGeneration.from_pretrained(
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"Qwen/Qwen2-VL-2B-Instruct", torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32, device_map="auto"
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)
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vl_processor = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-2B-Instruct", max_pixels=240*240)
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# Load Text Model
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model_name = "Qwen/Qwen2.5-Math-1.5B-Instruct"
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with gr.Column():
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with gr.Tabs() as input_tabs:
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with gr.Tab("Upload"):
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input_image = resize_image(gr.Image(type="pil", label="Upload"))
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with gr.Tab("Sketch"):
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input_sketchpad = gr.Sketchpad(type="pil", label="Sketch", layers=False)
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input_tabs.select(fn=tabs_select, inputs=[state])
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