Create app.py

app.py

@@ -0,0 +1,28 @@
+from fastapi import FastAPI
+from pydantic import BaseModel
+import spacy
+
+app = FastAPI(title="spaCy NER API")
+
+# Load transformer model
+nlp = spacy.load(
+    "en_core_web_trf",
+    disable=["tagger", "parser", "lemmatizer", "attribute_ruler"]
+)
+
+class TextInput(BaseModel):
+    text: str
+
+
+@app.post("/ner")
+def extract_ner(data: TextInput):
+    doc = nlp(data.text)
+
+    entities = []
+    for ent in doc.ents:
+        entities.append({
+            "text": ent.text,
+            "label": ent.label_
+        })
+
+    return {"entities": entities}