Upload app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+import spacy
+import spacy.displacy
+
+# Define model name as installed package
+MODEL_NAME = "en_pipeline"
+
+try:
+    # Load the installed model
+    nlp = spacy.load(MODEL_NAME)
+except OSError:
+    raise ValueError(f"Could not load spaCy model '{MODEL_NAME}'. Verify installation and package name.")
+
+# Function to process input text and display named entities
+def extract_entities(text):
+    doc = nlp(text)
+    return spacy.displacy.render(doc, style="ent", jupyter=False)
+
+# Gradio UI for Medical NER Model
+iface = gr.Interface(
+    fn=extract_entities,
+    inputs=gr.Textbox(lines=5, placeholder="Enter medical text here..."),
+    outputs="html",
+    title="🩺 Medical Named Entity Recognition (NER) Model",
+    description="Enter medical text to extract entities such as **medical conditions, medications, and pathogens**.",
+    examples=[
+        ["John Doe, a 45-year-old man, visited the hospital after experiencing severe acute respiratory syndrome symptoms..."],
+        ["A recent outbreak of rabies virus has caused concerns in the rural community..."]
+    ],
+    theme="default",
+)
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    iface.launch()