# Install required libraries
!pip install transformers torch gradio 

# Import necessary libraries
from transformers import pipeline
import gradio as gr

# Load the pre-trained radiography model
model = pipeline("image-to-text", model="forestav/unsloth_vision_radiography_finetune")

# Function to analyze an uploaded radiography image
def analyze_radiography(image):
    result = model(image)
    return result[0]['generated_text']

# Create Gradio interface
interface = gr.Interface(
    fn=analyze_radiography, 
    inputs="image", 
    outputs="text", 
    title="Radiography Failure Detector",
    description="Upload a radiography image to detect defects."
)

# Launch the app
interface.launch()