Upload 2 files

app.py

@@ -0,0 +1,45 @@
+from transformers import AutoModelForCausalLM, AutoProcessor
+import torch
+import gradio as gr
+from PIL import Image
+
+model_id = "ContactDoctor/Bio-Medical-MultiModal-Llama-3-8B-V1"
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    trust_remote_code=True,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+processor = AutoProcessor.from_pretrained(model_id)
+
+def generate_answer(image, question):
+    if not question or question.strip() == "":
+        return "❌ Please enter a medical question."
+
+    prompt = f"### User: {question}\n### Assistant:"
+    
+    try:
+        if image is None:
+            inputs = processor(prompt, return_tensors="pt").to(model.device)
+        else:
+            inputs = processor(prompt, images=image, return_tensors="pt").to(model.device)
+
+        outputs = model.generate(**inputs, max_new_tokens=256)
+        return processor.tokenizer.decode(outputs[0], skip_special_tokens=True)[len(prompt):].strip()
+    except Exception as e:
+        return f"⚠️ Internal Error: {str(e)}"
+
+demo = gr.Interface(
+    fn=generate_answer,
+    inputs=[
+        gr.Image(type="pil", label="Upload a medical image (optional)"),
+        gr.Textbox(label="Medical Question")
+    ],
+    outputs="text",
+    title="🧠 ContactDoctor - Biomedical LLM",
+    description="Multimodal Medical Assistant: upload an image and ask a medical question."
+)
+
+demo.launch()

requirements.txt

@@ -0,0 +1,5 @@
+transformers
+torch
+gradio
+accelerate
+pillow