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Update app.py
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app.py
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@@ -15,6 +15,11 @@ pipe = pipeline("zero-shot-image-classification", model="openai/clip-vit-base-pa
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images="dog.jpg"
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def shot(image, labels_text):
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PIL_image = Image.fromarray(np.uint8(image)).convert('RGB')
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labels = labels_text.split(",")
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res = pipe(images=PIL_image,
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@@ -22,11 +27,7 @@ def shot(image, labels_text):
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hypothesis_template= "This is a photo of a {}")
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return {dic["label"]: dic["score"] for dic in res}
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# Translate
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encodedText = tokenizer(candidate_labels, return_tensors="pt")
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generatedTokens = model.generate(**encodedText, forced_bos_token_id=tokenizer.get_lang_id("ru"))
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return tokenizer.batch_decode(generatedTokens, skip_special_tokens=True)[0]
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images="dog.jpg"
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def shot(image, labels_text):
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tokenizer.src_lang = "en"
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encodedText = tokenizer(labels_text, return_tensors="pt")
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generatedTokens = model.generate(**encodedText, forced_bos_token_id=tokenizer.get_lang_id("ru"))
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return tokenizer.batch_decode(generatedTokens, skip_special_tokens=True)[0]
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PIL_image = Image.fromarray(np.uint8(image)).convert('RGB')
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labels = labels_text.split(",")
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res = pipe(images=PIL_image,
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hypothesis_template= "This is a photo of a {}")
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return {dic["label"]: dic["score"] for dic in res}
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# Translate
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