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Runtime error
Update app.py
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app.py
CHANGED
@@ -39,6 +39,7 @@ def generate_answer_git(processor, model, image, question):
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input_ids = torch.tensor(input_ids).unsqueeze(0)
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generated_ids = model.generate(pixel_values=pixel_values, input_ids=input_ids, max_length=50)
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generated_answer = processor.batch_decode(generated_ids, skip_special_tokens=True)
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return generated_answer
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@@ -49,6 +50,7 @@ def generate_answer_blip(processor, model, image, question):
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inputs = processor(images=image, text=question, return_tensors="pt")
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generated_ids = model.generate(**inputs, max_length=50)
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generated_answer = processor.batch_decode(generated_ids, skip_special_tokens=True)
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return generated_answer
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@@ -60,7 +62,7 @@ def generate_answer_vilt(processor, model, image, question):
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with torch.no_grad():
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outputs = model(**encoding)
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predicted_class_idx = outputs.logits.argmax(-1).item()
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return model.config.id2label[predicted_class_idx]
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input_ids = torch.tensor(input_ids).unsqueeze(0)
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generated_ids = model.generate(pixel_values=pixel_values, input_ids=input_ids, max_length=50)
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print(generated_ids.logits)
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generated_answer = processor.batch_decode(generated_ids, skip_special_tokens=True)
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return generated_answer
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inputs = processor(images=image, text=question, return_tensors="pt")
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generated_ids = model.generate(**inputs, max_length=50)
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print(generated_ids.logits)
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generated_answer = processor.batch_decode(generated_ids, skip_special_tokens=True)
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return generated_answer
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with torch.no_grad():
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outputs = model(**encoding)
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print(outputs.logits)
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predicted_class_idx = outputs.logits.argmax(-1).item()
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return model.config.id2label[predicted_class_idx]
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