Initial commit

scripts/client.py

@@ -0,0 +1,16 @@
+import asyncio
+from fastmcp import Client
+from fastembed import TextEmbedding
+
+
+embedding_model = TextEmbedding()
+client = Client("http://localhost:8000/sse")
+
+async def call_tool(input: str, collection: str):
+    embedding: list[float] = list(embedding_model.embed(input))[0].tolist()
+
+    async with client:
+        result = await client.call_tool("semantic_search", {"embedding": embedding, "collection": collection})
+        print(result)
+
+asyncio.run(call_tool("Dime sobre las cucarachas", "dummy_collection"))