40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
from __future__ import annotations
|
|
|
|
from loguru import logger
|
|
|
|
from pipecat.frames.frames import Frame, InputTransportMessageFrame, LLMMessagesAppendFrame
|
|
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
|
|
|
|
|
|
class ProductTextInputProcessor(FrameProcessor):
|
|
"""Converts product text-input transport messages into LLM turns."""
|
|
|
|
async def process_frame(self, frame: Frame, direction: FrameDirection):
|
|
await super().process_frame(frame, direction)
|
|
|
|
if not isinstance(frame, InputTransportMessageFrame):
|
|
await self.push_frame(frame, direction)
|
|
return
|
|
|
|
message = frame.message
|
|
if not isinstance(message, dict) or message.get("type") != "input.text":
|
|
await self.push_frame(frame, direction)
|
|
return
|
|
|
|
text = str(message.get("text") or "").strip()
|
|
if not text:
|
|
return
|
|
|
|
if message.get("interrupt", True):
|
|
logger.info("Text input interrupting current response")
|
|
await self.broadcast_interruption()
|
|
|
|
await self.push_frame(
|
|
LLMMessagesAppendFrame(
|
|
messages=[{"role": "user", "content": text}],
|
|
run_llm=True,
|
|
),
|
|
FrameDirection.DOWNSTREAM,
|
|
)
|
|
|