Update app.py

removed the uvicorn line

app.py

@@ -1,33 +1,32 @@
-from fastapi import FastAPI
-from pydantic import BaseModel
-from typing import List
-from sentence_transformers import SentenceTransformer
-import uvicorn
-
-app = FastAPI(title="Medical Embedding Service")
-
-# Load model ONCE at startup
-print("Loading Medical RAG Model... this may take a moment.")
-model = SentenceTransformer("Gaykar/all-MiniLM-L6-medical-rag")
-print("Model loaded successfully!")
-
-class QueryRequest(BaseModel):
-    text: str
-
-class DocumentRequest(BaseModel):
-    texts: List[str]
-
-@app.post("/embed_query")
-async def embed_query(request: QueryRequest):
-    # Uses specialized encode_query for IR tasks
-    embedding = model.encode_query(request.text).tolist()
-    return {"embedding": embedding}
-
-@app.post("/embed_docs")
-async def embed_docs(request: DocumentRequest):
-    # Uses specialized encode_document for IR tasks
-    embeddings = model.encode_document(request.texts).tolist()
-    return {"embeddings": embeddings}
-
-if __name__ == "__main__":
-    uvicorn.run(app, host="0.0.0.0", port=8001)
+from fastapi import FastAPI
+from pydantic import BaseModel
+from typing import List
+from sentence_transformers import SentenceTransformer
+import uvicorn
+
+app = FastAPI(title="Medical Embedding Service")
+
+# Load model ONCE at startup
+print("Loading Medical RAG Model... this may take a moment.")
+model = SentenceTransformer("Gaykar/all-MiniLM-L6-medical-rag")
+print("Model loaded successfully!")
+
+class QueryRequest(BaseModel):
+    text: str
+
+class DocumentRequest(BaseModel):
+    texts: List[str]
+
+@app.post("/embed_query")
+async def embed_query(request: QueryRequest):
+    # Uses specialized encode_query for IR tasks
+    embedding = model.encode_query(request.text).tolist()
+    return {"embedding": embedding}
+
+@app.post("/embed_docs")
+async def embed_docs(request: DocumentRequest):
+    # Uses specialized encode_document for IR tasks
+    embeddings = model.encode_document(request.texts).tolist()
+    return {"embeddings": embeddings}
+
+