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Update app.py
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app.py
CHANGED
@@ -1,6 +1,7 @@
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import gradio as gr
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from transformers import AutoProcessor, AutoTokenizer, AutoImageProcessor, AutoModelForCausalLM, BlipForConditionalGeneration, VisionEncoderDecoderModel
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import torch
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git_processor_base = AutoProcessor.from_pretrained("microsoft/git-base-coco")
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git_model_base = AutoModelForCausalLM.from_pretrained("microsoft/git-base-coco")
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@@ -24,15 +25,16 @@ def generate_caption(processor, model, image, tokenizer=None):
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def generate_captions(image):
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caption_git_base = generate_caption(git_processor_base, git_model_base, image)
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print(
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return caption_git_base
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examples = [["test-1.jpeg"], ["test-2.jpeg"], ["test-3.jpeg"], ["test-4.jpeg"], ["test-5.jpeg"], ["test-6.jpg"]]
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outputs = [gr.outputs.Textbox(label="Caption generated by GIT-base")]
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interface = gr.Interface(fn=generate_captions,
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import gradio as gr
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from transformers import AutoProcessor, AutoTokenizer, AutoImageProcessor, AutoModelForCausalLM, BlipForConditionalGeneration, VisionEncoderDecoderModel
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import torch
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import time
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git_processor_base = AutoProcessor.from_pretrained("microsoft/git-base-coco")
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git_model_base = AutoModelForCausalLM.from_pretrained("microsoft/git-base-coco")
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def generate_captions(image):
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start = time.time()
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caption_git_base = generate_caption(git_processor_base, git_model_base, image)
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end = time.time()
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print(end - start)
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return caption_git_base, end - start
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examples = [["test-1.jpeg"], ["test-2.jpeg"], ["test-3.jpeg"], ["test-4.jpeg"], ["test-5.jpeg"], ["test-6.jpg"]]
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outputs = [gr.outputs.Textbox(label="Caption generated by GIT-base"), gr.outputs.Textbox(label="Time Elapsed")]
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interface = gr.Interface(fn=generate_captions,
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