Update app.py

app.py

@@ -4,10 +4,8 @@ from sentence_transformers import SentenceTransformer
 from transformers import pipeline
 import asyncio
 
-# --- FastAPI app ---
 app = FastAPI(title="Eroha AgentAPI", version="2.1.1")
 
-# --- Lazy initialization ---
 embedder = None
 summarizer = None
 
@@ -15,47 +13,32 @@ summarizer = None
 def home():
     return {
         "message": "✅ Eroha AgentAPI is alive!",
-        "routes": ["/check", "/summarize"]
+        "routes": ["/check", "/summarize", "/ping"]
     }
 
 @app.get("/check")
 def check_health():
-    return {
-        "status": "ok",
-        "version": "2.1.1",
-        "components": ["lazy embedding", "lazy summarizer"]
-    }
+    return {"status": "ok", "version": "2.1.1"}
 
 @app.post("/summarize")
 async def summarize_text(files: List[UploadFile] = File(...)):
     global embedder, summarizer
 
-    # Lazy load models (only on first call)
     if embedder is None or summarizer is None:
-        embedder = SentenceTransformer("all-MiniLM-L6-v2")
-        summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+        # Загружаем модели один раз (лениво)
+        loop = asyncio.get_event_loop()
+        embedder = await loop.run_in_executor(None, lambda: SentenceTransformer("all-MiniLM-L6-v2"))
+        summarizer = await loop.run_in_executor(None, lambda: pipeline("summarization", model="facebook/bart-large-cnn"))
 
-    # Collect text from uploaded files
     texts = []
     for file in files:
         content = await file.read()
         texts.append(content.decode("utf-8", errors="ignore"))
 
-    # Combine into one large string
     full_text = "\n".join(texts)
-
-    # Create embedding (optional — for debugging)
-    embedding = embedder.encode(full_text[:512])  # just preview embedding
-
-    # Summarize
     summary = summarizer(full_text, max_length=200, min_length=50, do_sample=False)
+    return {"summary": summary[0]["summary_text"]}
 
-    return {
-        "summary": summary[0]["summary_text"],
-        "embedding_preview": embedding[:5].tolist() if hasattr(embedding, "tolist") else [],
-    }
-
-# --- Health endpoint ---
 @app.get("/ping")
 def ping():
     return {"status": "running"}