fix: Make integrate() calls async - add await
This commit is contained in:
+3
-3
@@ -111,15 +111,15 @@ async def process_input(input_data: Dict[str, Any]) -> Dict[str, Any]:
|
||||
# Convert text to temporal input
|
||||
# Simple encoding: use ord values as phase signals
|
||||
signals = np.array([ord(c) / 127.0 for c in content[:512]], dtype=np.float32)
|
||||
result = master.integrate(signals)
|
||||
result = await master.integrate(signals)
|
||||
elif input_type == "tokens":
|
||||
# Direct token input (for LLM integration)
|
||||
tokens = input_data.get("tokens", [])
|
||||
result = master.integrate(np.array(tokens, dtype=np.float32))
|
||||
result = await master.integrate(np.array(tokens, dtype=np.float32))
|
||||
elif input_type == "phase":
|
||||
# Direct phase input
|
||||
phases = input_data.get("phases", [])
|
||||
result = master.integrate(np.array(phases, dtype=np.float32))
|
||||
result = await master.integrate(np.array(phases, dtype=np.float32))
|
||||
else:
|
||||
return {"error": f"Unknown input type: {input_type}"}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user