Create app.py

app.py

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+# 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()