Create app.py

app.py

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+import gradio as gr
+from sentence_transformers import SentenceTransformer
+
+# Load the embedding model
+model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
+
+def embed_text(text):
+    embedding = model.encode(text).tolist()
+    return embedding
+
+iface = gr.Interface(
+    fn=embed_text,
+    inputs=gr.Textbox(lines=5, label="Enter patient text"),
+    outputs="json",
+    title="Clinical Text Embedding API"
+)
+
+iface.launch()