Update app.py
Browse files
app.py
CHANGED
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@@ -16,7 +16,7 @@ import subprocess
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subprocess.run('pip install flash-attn --no-build-isolation', env={'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"}, shell=True)
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model_id = 'microsoft/Florence-2-large'
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model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True).eval()
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processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)
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@@ -28,13 +28,14 @@ def fig_to_pil(fig):
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fig.savefig(buf, format='png')
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buf.seek(0)
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return Image.open(buf)
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def run_example(task_prompt, image, text_input=None):
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if text_input is None:
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prompt = task_prompt
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else:
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prompt = task_prompt + text_input
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inputs = processor(text=prompt, images=image, return_tensors="pt")
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generated_ids = model.generate(
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input_ids=inputs["input_ids"],
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pixel_values=inputs["pixel_values"],
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subprocess.run('pip install flash-attn --no-build-isolation', env={'FLASH_ATTENTION_SKIP_CUDA_BUILD': "TRUE"}, shell=True)
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model_id = 'microsoft/Florence-2-large'
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model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True).to("cuda").eval()
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processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)
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fig.savefig(buf, format='png')
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buf.seek(0)
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return Image.open(buf)
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@spaces.GPU
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def run_example(task_prompt, image, text_input=None):
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if text_input is None:
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prompt = task_prompt
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else:
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prompt = task_prompt + text_input
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inputs = processor(text=prompt, images=image, return_tensors="pt").to("cuda")
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generated_ids = model.generate(
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input_ids=inputs["input_ids"],
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pixel_values=inputs["pixel_values"],
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