Init

app.py

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+import gradio as gr
+import numpy as np
+import polars as pl
+import pydicom
+from PIL import Image
+
+
+def read_and_preprocess_dicom(file_path: str):
+    """
+    Function to read and preprocess DICOM files
+    :param file_path: Path to the DICOM file
+    :return: Image data (in PIL format) and metadata (in pandas DataFrame format)
+    """
+    # Read the DICOM file
+    dicom_data = pydicom.dcmread(file_path)
+
+    # Get the pixel data
+    pixel_array = dicom_data.pixel_array
+
+    # Normalize the pixel data to 8-bit and convert to a PIL image
+    if pixel_array.dtype != np.uint8:
+        pixel_array = ((pixel_array - np.min(pixel_array)) / (np.max(pixel_array) - np.min(pixel_array)) * 255).astype(
+            np.uint8)
+    image = Image.fromarray(pixel_array)
+
+    # Collect metadata in dictionary format and convert to DataFrame
+    metadata_dict = {elem.name: str(elem.value) for elem in dicom_data.iterall() if elem.name != 'Pixel Data'}
+    df_metadata = pl.DataFrame({
+        "Key": list(metadata_dict.keys()),
+        "Value": list(metadata_dict.values())
+    })
+
+    return image, df_metadata.to_pandas()  # Convert to pandas DataFrame for Gradio compatibility
+
+
+def build_interface():
+    """
+    Function to build the Gradio interface
+    """
+    theme = gr.themes.Soft(
+        primary_hue=gr.themes.colors.emerald,
+        secondary_hue=gr.themes.colors.emerald
+    )
+
+    with gr.Blocks(title='DICOM Viewer', theme=theme) as demo:
+        gr.Markdown(
+            """
+            # DICOM Viewer
+            This app reads a DICOM file and displays the image and metadata.
+            """
+        )
+        with gr.Column():
+            file_path = gr.File(label="Input DICOM Data")
+
+            with gr.Row():
+                dicom_image = gr.Image(type="pil", label="DICOM Image")
+                dicom_meta = gr.Dataframe(headers=None, label="Metadata")
+
+            inputs = [file_path]
+            outputs = [dicom_image, dicom_meta]
+            file_path.upload(fn=read_and_preprocess_dicom, inputs=inputs, outputs=outputs)
+
+            clear_button = gr.ClearButton(components=inputs + outputs, )
+
+    return demo
+
+
+if __name__ == '__main__':
+    demo = build_interface()
+    demo.launch()

requirements.txt

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+pydicom
+matplotlib
+numpy
+polars
+pandas
+Pillow