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JuanMa360 commited on
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a6c3a83
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1 Parent(s): affcd43

refactor: app

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Files changed (12) hide show
  1. .DS_Store +0 -0
  2. app.py +18 -31
  3. dd360-v1-3b/config.json +0 -64
  4. dd360-v1-3b/generation_config.json +0 -6
  5. dd360-v1-3b/model.safetensors.index.json +0 -757
  6. requirements.txt +2 -7
  7. tokenizer-dd360/added_tokens.json +0 -42
  8. tokenizer-dd360/merges.txt +0 -0
  9. tokenizer-dd360/special_tokens_map.json +0 -23
  10. tokenizer-dd360/tokenizer.json +0 -0
  11. tokenizer-dd360/tokenizer_config.json +0 -342
  12. tokenizer-dd360/vocab.json +0 -0
.DS_Store CHANGED
Binary files a/.DS_Store and b/.DS_Store differ
 
app.py CHANGED
@@ -1,38 +1,25 @@
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- import torch
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- from transformers import AutoModelForCausalLM, AutoTokenizer
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- from PIL import Image
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  import gradio as gr
 
 
 
5
 
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- model = AutoModelForCausalLM.from_pretrained(
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- "dd360-v1-3b",
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- torch_dtype=torch.float32,
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- device_map="auto",
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- trust_remote_code=True)
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- tokenizer = AutoTokenizer.from_pretrained("tokenizer-dd360",torch_dtype=torch.float32)
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-
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-
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- def generate_answer(text, image):
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- input_ids = tokenizer(text, return_tensors='pt').input_ids
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- image_tensor = model.image_preprocess(image)
18
 
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- output_ids = model.generate(
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- input_ids,
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- max_new_tokens=100,
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- images=image_tensor,
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- use_cache=True)[0]
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-
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- return tokenizer.decode(output_ids[input_ids.shape[1]:], skip_special_tokens=True).strip()
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- text_input = gr.Textbox(lines=5, label="Enter text")
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- image_input = gr.Image(type="pil", label="Upload Image")
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- iface = gr.Interface(
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- fn=generate_answer,
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- inputs=[text_input, image_input],
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- outputs="text",
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- title="DD360-Bot-Multimodal",
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- description="Enter text and upload an image to receive a response from the chatbot."
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- )
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- iface.launch()
 
 
 
 
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  import gradio as gr
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+ import spaces
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+ import torch
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+ from transformers import AutoProcessor, LlavaForConditionalGeneration
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+ model_id = "llava-hf/llava-1.5-7b-hf"
 
 
 
 
 
 
 
 
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+ prompt_format = "USER: <image>\n{}\nASSISTANT:"
 
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+ model = LlavaForConditionalGeneration.from_pretrained(
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+ model_id,
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+ torch_dtype=torch.float16,
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+ low_cpu_mem_usage=True,
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+ ).cuda()
 
 
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+ processor = AutoProcessor.from_pretrained(model_id)
 
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+ @spaces.GPU
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+ def inference(text, image):
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+ prompt = prompt_format.format(text)
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+ inputs = processor(prompt, image, return_tensors='pt').to(0, torch.float16)
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+ output = model.generate(**inputs, max_new_tokens=1024)
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+ return processor.decode(output[0], skip_special_tokens=True).split("ASSISTANT:")[-1]
 
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+ gr.Interface(fn=inference, inputs=[gr.Text(), gr.Image()], outputs=gr.Text()).launch()
dd360-v1-3b/config.json DELETED
@@ -1,64 +0,0 @@
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- {
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- "_name_or_path": "MILVLG/imp-v1-3b",
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- "activation_function": "gelu_new",
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- "architectures": [
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- "ImpForCausalLM"
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- ],
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- "attn_pdrop": 0.0,
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- "auto_map": {
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- "AutoConfig": "MILVLG/imp-v1-3b--configuration_imp.ImpConfig",
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- "AutoModelForCausalLM": "MILVLG/imp-v1-3b--modeling_imp.ImpForCausalLM"
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- },
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- "embd_pdrop": 0.0,
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- "eos_token_id": 50295,
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- "flash_attn": false,
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- "flash_rotary": false,
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- "freeze_mm_mlp_adapter": false,
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- "fused_dense": false,
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- "image_aspect_ratio": "square",
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- "image_token": "<image>",
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- "image_token_index": 50296,
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- "img_processor": null,
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- "initializer_range": 0.02,
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- "mm_hidden_size": 1152,
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- "mm_projector_lr": 2e-05,
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- "mm_projector_type": "mlp2x_gelu",
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- "mm_use_im_patch_token": false,
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- "mm_use_im_start_end": false,
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- "mm_vision_select_feature": "patch",
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- "mm_vision_select_layer": -2,
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- "mm_vision_tower": "google/siglip-so400m-patch14-384",
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- "model_type": "imp",
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- "n_embd": 2560,
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- "n_head": 32,
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- "n_head_kv": null,
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- "n_layer": 32,
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- "n_positions": 3072,
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- "pad_token_id": 50256,
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- "resid_pdrop": 0.1,
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- "rotary_dim": 32,
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- "tie_word_embeddings": false,
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- "tokenizer_model_max_length": 3072,
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- "tokenizer_padding_side": "right",
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- "torch_dtype": "float16",
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- "transformers_version": "4.38.2",
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- "use_cache": true,
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- "use_mm_proj": true,
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- "vision_tower_config": {
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- "attention_dropout": 0.0,
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- "attn_implementation": null,
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- "hidden_act": "gelu_pytorch_tanh",
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- "hidden_size": 1152,
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- "image_size": 384,
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- "intermediate_size": 4304,
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- "layer_norm_eps": 1e-06,
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- "model_type": "siglip_vision_model",
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- "num_attention_heads": 16,
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- "num_channels": 3,
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- "num_hidden_layers": 27,
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- "patch_size": 14
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- },
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- "vocab_size": 51200
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dd360-v1-3b/generation_config.json DELETED
@@ -1,6 +0,0 @@
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- "eos_token_id": 50295,
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- "transformers_version": "4.38.2"
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