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Update Align_myself.py
Browse filesuploading files locally as well
- Align_myself.py +7 -10
Align_myself.py
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@@ -1,21 +1,20 @@
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import requests
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import torch
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from PIL import Image
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import gradio as gr
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processor = AlignProcessor.from_pretrained("kakaobrain/align-base")
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model = AlignModel.from_pretrained("kakaobrain/align-base")
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def get_image_alignment_probabilities(url, is_url):
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candidate_labels = ["advertisement", "not an advertisement"]
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# Load image from URL
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if is_url:
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image = Image.open(requests.get(
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else:
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image = Image.open(
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# Process inputs
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inputs = processor(text=candidate_labels, images=image, return_tensors="pt")
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@@ -32,9 +31,7 @@ def get_image_alignment_probabilities(url, is_url):
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return {label: prob.item() for label, prob in zip(candidate_labels, probs[0])}
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iface = gr.Interface(fn=get_image_alignment_probabilities,
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inputs=["
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outputs="label")
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iface.launch()
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import torch
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from PIL import Image
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import requests
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import gradio as gr
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from transformers import AlignProcessor, AlignModel
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processor = AlignProcessor.from_pretrained("kakaobrain/align-base")
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model = AlignModel.from_pretrained("kakaobrain/align-base")
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def get_image_alignment_probabilities(image, is_url):
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candidate_labels = ["advertisement", "not an advertisement"]
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# Load image from URL or locally
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if is_url:
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image = Image.open(requests.get(image, stream=True).raw).convert("RGB")
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else:
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image = Image.open(image).convert("RGB")
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# Process inputs
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inputs = processor(text=candidate_labels, images=image, return_tensors="pt")
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return {label: prob.item() for label, prob in zip(candidate_labels, probs[0])}
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iface = gr.Interface(fn=get_image_alignment_probabilities,
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inputs=[gr.inputs.Image(type="file", label="Upload Image"), "checkbox"],
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outputs="label")
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iface.launch()
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