Update README.md

README.md

@@ -29,10 +29,8 @@ Train Set, Test Set This dataset represents 0.33% of the original dataset found
 ## Usage
 
 ```python
-from typing import Optional
-import gradio as gr
-from gradio import Interface
 from unsloth import FastVisionModel
+from PIL import Image
 import numpy as np
 import torch
 
@@ -75,19 +73,11 @@ def predict_radiology_description(image, instruction):
     except Exception as e:
         return f"Error: {str(e)}"
 
-# Gradio Interface
-demo = gr.Interface(
-    fn=predict_radiology_description,
-    inputs=[
-        gr.Image(type="pil", label="Upload Radiology Image"),
-        gr.Textbox(
-            placeholder="Enter instruction or leave as default.",
-            value="You are an expert radiographer. Describe accurately what you see in this image.",
-            label="Instruction"),
-        ],
-    outputs="text",
-    title="radiology image description generate",
-    description="Upload an image and provide instructions to generate radiology descriptions.\nExample instruction : You are an expert radiographer. Describe accurately what you see in this image.",
-)
-demo.launch(server_port=8030, debug=True)
+# Example of usage!
+image_path = 'image.jpeg'
+instruction = 'You are an expert radiographer. Describe accurately what you see in this image.'
+
+image = Image.open(image_path).convert("RGB")
+output = predict_radiology_description(image, instruction)
+print(output)
 ```