linting, moving files into community subdirectory

environments/community/starmap_compression/inference_server.py

@@ -0,0 +1,28 @@
+from fastapi import FastAPI, Request
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+app = FastAPI()
+
+# Load the model and tokenizer
+model = AutoModelForCausalLM.from_pretrained("./opt-350m")
+tokenizer = AutoTokenizer.from_pretrained("./opt-350m")
+
+
+@app.post("/v1/chat/completions")
+async def chat_completions(request: Request):
+    data = await request.json()
+    messages = data.get("messages", [])
+    # Extract prompt for potential future use
+    _ = messages[-1]["content"] if messages else ""
+
+    # Simulate a numerical rating (0-1) for now
+    response_text = "0.9"
+
+    # Return in OpenAI-compatible format
+    return {"choices": [{"message": {"content": response_text}}]}
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    uvicorn.run(app, host="localhost", port=9001)