Stuff

main.py

@@ -17,11 +17,7 @@ model = AutoModel.from_pretrained('allenai/specter')
 
 app = FastAPI()
 
-app.mount("/", StaticFiles(directory="static", html=True), name="static")
 
-@app.get("/")
-def index() -> FileResponse:
-    return FileResponse(path="/app/static/index.html", media_type="text/html")
 
 @app.get('/similarity')
 def similarity(input):
@@ -33,4 +29,11 @@ def similarity(input):
     # take the first token in the batch as the embedding
     embeddings = result.last_hidden_state[:, 0, :]
     res = cosine_similarity(embeddings, embeddings).tolist()
-    return {"output": res}
+    return {"output": res}
+
+
+app.mount("/", StaticFiles(directory="static", html=True), name="static")
+
+@app.get("/")
+def index() -> FileResponse:
+    return FileResponse(path="/app/static/index.html", media_type="text/html")