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  1. app.py +2 -1
  2. llava/__pycache__/__init__.cpython-310.pyc +0 -0
  3. llava/__pycache__/constants.cpython-310.pyc +0 -0
  4. llava/__pycache__/conversation.cpython-310.pyc +0 -0
  5. llava/__pycache__/mm_utils.cpython-310.pyc +0 -0
  6. llava/__pycache__/utils.cpython-310.pyc +0 -0
  7. llava/model/__pycache__/__init__.cpython-310.pyc +0 -0
  8. llava/model/__pycache__/builder.cpython-310.pyc +0 -0
  9. llava/model/__pycache__/llava_arch.cpython-310.pyc +0 -0
  10. llava/model/language_model/__pycache__/llava_llama.cpython-310.pyc +0 -0
  11. llava/model/language_model/__pycache__/llava_mistral.cpython-310.pyc +0 -0
  12. llava/model/language_model/__pycache__/llava_mpt.cpython-310.pyc +0 -0
  13. llava/model/multimodal_encoder/__pycache__/builder.cpython-310.pyc +0 -0
  14. llava/model/multimodal_encoder/__pycache__/clip_encoder.cpython-310.pyc +0 -0
  15. llava/model/multimodal_encoder/__pycache__/imagebind.cpython-310.pyc +0 -0
  16. llava/model/multimodal_encoder/__pycache__/open_clip_encoder.cpython-310.pyc +0 -0
  17. llava/model/multimodal_encoder/__pycache__/siglip_encoder.cpython-310.pyc +0 -0
  18. llava/model/multimodal_encoder/dev_eva_clip/__pycache__/eva_vit.cpython-310.pyc +0 -0
  19. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/__init__.cpython-310.pyc +0 -0
  20. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/constants.cpython-310.pyc +0 -0
  21. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/eva_vit_model.cpython-310.pyc +0 -0
  22. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/factory.cpython-310.pyc +0 -0
  23. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/hf_configs.cpython-310.pyc +0 -0
  24. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/hf_model.cpython-310.pyc +0 -0
  25. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/loss.cpython-310.pyc +0 -0
  26. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/model.cpython-310.pyc +0 -0
  27. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/modified_resnet.cpython-310.pyc +0 -0
  28. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/openai.cpython-310.pyc +0 -0
  29. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/pretrained.cpython-310.pyc +0 -0
  30. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/rope.cpython-310.pyc +0 -0
  31. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/timm_model.cpython-310.pyc +0 -0
  32. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/tokenizer.cpython-310.pyc +0 -0
  33. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/transform.cpython-310.pyc +0 -0
  34. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/transformer.cpython-310.pyc +0 -0
  35. llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__pycache__/utils.cpython-310.pyc +0 -0
  36. llava/model/multimodal_encoder/eva_clip/__pycache__/eva_clip_encoder.cpython-310.pyc +0 -0
  37. llava/model/multimodal_encoder/eva_clip/__pycache__/eva_clip_processors.cpython-310.pyc +0 -0
  38. llava/model/multimodal_encoder/eva_clip/__pycache__/eva_vit.cpython-310.pyc +0 -0
  39. llava/model/multimodal_encoder/eva_clip/__pycache__/factory.cpython-310.pyc +0 -0
  40. llava/model/multimodal_projector/__pycache__/builder.cpython-310.pyc +0 -0
  41. llava/train/__pycache__/llava_trainer.cpython-310.pyc +0 -0
  42. llava/train/__pycache__/train.cpython-310.pyc +0 -0
app.py CHANGED
@@ -121,9 +121,10 @@ def generate(state, imagebox, textbox, image_process_mode, temperature, top_p, m
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  #images = [load_image_from_base64(image) for image in images]
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  image_sizes = [image.size for image in images]
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- images = process_images(images, image_processor, model.config)
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  print(images, image_processor, model.config)
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  if type(images) is list:
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  images = [image.to(model.device, dtype=torch.float16) for image in images]
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  else:
 
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  #images = [load_image_from_base64(image) for image in images]
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  image_sizes = [image.size for image in images]
 
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  print(images, image_processor, model.config)
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+ images = process_images(images, image_processor, model.config)
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+
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  if type(images) is list:
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  images = [image.to(model.device, dtype=torch.float16) for image in images]
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  else:
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