lumichats_v1.3_11b_vision

import requests
from PIL import Image

# Load medical image
image_url = "https://example.com/panoramic_radiograph.jpg"
image = Image.open(requests.get(image_url, stream=True).raw)

# Prepare prompt
prompt = """You are an expert radiographer. Analyze this medical image and provide a professional clinical description focusing on pathology and anatomical findings."""

# Process
inputs = processor(text=prompt, images=image, return_tensors="pt")

# Generate
with torch.no_grad():
    outputs = model.generate(
        **inputs,
        max_new_tokens=150,
        do_sample=True,
        temperature=0.1,
        top_p=0.95,
        pad_token_id=processor.tokenizer.eos_token_id
    )

# Decode
response = processor.decode(outputs[0], skip_special_tokens=True)
print(response)