from dora import DoraStatus import os import pyarrow as pa import cv2 from idefics2_utils import ask_vlm from RealtimeTTS import TextToAudioStream, SystemEngine engine = SystemEngine() stream = TextToAudioStream(engine) CAMERA_WIDTH = 960 CAMERA_HEIGHT = 540 FONT = cv2.FONT_HERSHEY_SIMPLEX import pyttsx3 engine = pyttsx3.init("espeak") voices = engine.getProperty("voices") engine.setProperty("voice", voices[11].id) # English def speak(text): engine.say(text) engine.runAndWait() class Operator: def __init__(self): self.completed = True self.instruction = "What is in the image?" self.last_message = "" def on_event( self, dora_event, send_output, ) -> DoraStatus: if dora_event["type"] == "INPUT": if dora_event["id"] == "image": if True: image = ( dora_event["value"] .to_numpy() .reshape((CAMERA_HEIGHT, CAMERA_WIDTH, 3)) .copy() ) cv2.imshow("frame2", image) if cv2.waitKey(1) & 0xFF == ord("q"): return DoraStatus.CONTINUE output = ask_vlm(image, self.instruction) cv2.putText( image, output, (20, 14 + 15 * 25), FONT, 0.5, (190, 250, 0), 2, ) if self.last_message != output: speak(output) print("response: ", output, flush=True) send_output( "assistant_message", pa.array([output]), dora_event["metadata"], ) # stream.feed(output) # stream.play() self.last_message = output self.completed = False else: print("Command not complete", flush=True) elif dora_event["id"] == "instruction": self.instruction = dora_event["value"][0].as_py() print("instructions: ", self.instruction, flush=True) elif dora_event["id"] == "control_reply": control_reply = dora_event["value"][0].as_py() if self.last_message == control_reply: self.completed = True else: print( f"expected: {self.last_message}, but got: {control_reply}", flush=True, ) return DoraStatus.CONTINUE