Create app.py

app.py

@@ -0,0 +1,30 @@
+from fastapi import FastAPI
+from pydantic import BaseModel
+from llama_index.core import Document, ServiceContext
+from llama_index.llms.openai import OpenAI
+from llama_index.core.node_parser import SemanticSplitterNodeParser
+import os
+
+app = FastAPI()
+
+# Requête d'entrée
+class ChunkRequest(BaseModel):
+    text: str
+
+# Réponse
+@app.post("/chunk")
+async def chunk_text(data: ChunkRequest):
+    llm = OpenAI(
+        model="meta-llama/llama-4-maverick:free",
+        api_base="https://openrouter.ai/api/v1",
+        api_key=os.getenv("OPENROUTER_API_KEY")
+    )
+
+    service_context = ServiceContext.from_defaults(llm=llm)
+
+    try:
+        parser = SemanticSplitterNodeParser.from_defaults(service_context=service_context)
+        nodes = parser.get_nodes_from_documents([Document(text=data.text)])
+        return {"chunks": [node.text for node in nodes]}
+    except Exception as e:
+        return {"error": str(e)}