Update README.md

README.md

@@ -13,80 +13,8 @@ CXR LLaVA is an innovative open-source, multimodal large language model specific
 -   **Demo Website**: Experience the model in action at [Radiologist App](https://radiologist.app/cxr-llava).
 
 
-
-
 |Version| Input CXR resolution | Channels | Vision Encoder | Base LLM | Weight 
 |--|--|--|--|--|--|
 | v1.0 | 512x512 | RGB|RN50|LLAMA2-13B-CHAT|Deprecated
 |v2.0 (Latest)|512x512|Grayscale|ViT-L/16|LLAMA2-7B-CHAT|[Link](https://huggingface.co/ECOFRI/CXR-LLAVA-v2)
 
-
-## Usage Guide
-### Importing Packages
-
-    from transformers import AutoModel
-    from PIL import Image
-### Prepare CXR
-    
--   Ensure you have an CXR image file ready, such as 'img.jpg'.
--   Use the following code to load the image
-
-    cxr_image = Image.open(os.path.join(os.path.dirname(__file__), "IMG", "img.jpg"))
-
-### Load model
-Loading the CXR-LLAVA model is straightforward and can be done in one line of code.
-
-
-      model = AutoModel.from_pretrained("ECOFRI/CXR-LLAVA-v2", trust_remote_code=True)
-      model = model.to("cuda")
-
-
-### Generating Radiologic Reports
-
-To write a radiologic report of a chest radiograph:
-
-
-
-      response = model.write_radiologic_report(cxr_image)
-
- > The radiologic report reveals a large consolidation in the right upper lobe of the lungs. There is no evidence of pleural effusion or pneumothorax. The cardiac and mediastinal contours are normal. 
-
-
-### Differential Diagnosis
-For differential diagnosis:
-
-
-    model.write_differential_diagnosis(cxr_image)
-
-> Possible differential diagnoses for this patient include pneumonia,tuberculosis, lung abscess, or a neoplastic process such as lung cancer.
-
-### Question Answering
-To ask a question:
-
-      question = "What is true meaning of consolidation?"
-      response = model.ask_question(question=question, image=cxr_image)
-
-> Consolidation refers to the filling of the airspaces in the lungs with fluid, pus, blood, cells or other substances, resulting in a region of lung tissue that has become dense and solid rather than containing air.
-
-## Custom Prompt
-For custom interactions:
-
-    img = Image.open(os.path.join(os.path.dirname(__file__), "IMG", "img.jpg"))
-    chat = [
-        {"role": "system",
-         "content": "You are a helpful radiologist. Try to interpret chest x ray image and answer to the question that user provides."},
-        {"role": "user",
-         "content": "<image>\nWrite a radiologic report on the given chest radiograph, including information about atelectasis, cardiomegaly, consolidation, pulmonary edema, pleural effusion, and pneumothorax.\n"}
-    ]
-    response = model.generate_cxr_repsonse(chat=chat,pil_image=img, temperature=0, top_p=1)
-
-
-
-## License Information
-
-CXR LLaVA is available under a Creative Commons NonCommercial License. 
-
-Users must obtain the LLAMA-2 license prior to use. More details can be found [here](https://ai.meta.com/resources/models-and-libraries/llama-downloads/).
-
-
-Lastly, we extend our heartfelt thanks to all the contributors of the [LLaVA project](https://llava-vl.github.io/).