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hub / github.com/OpenBMB/AgentCPM-GUI / generate_response

Function generate_response

eval/run_predict_aguvis.py:507–589  ·  view source on GitHub ↗

Modified from the origin code. Do the inference based on the params. Args: image (Image.Image) instruction (str) previous_actions (Optional[str | List[str]], optional) low_level_instruction (Optional[str], optional) mode (Literal[], optional)

(
    image: Image.Image,
    episode: Dict,
    instruction: str,
    previous_actions: Optional[str | List[str]] = None,
    low_level_instruction: Optional[str] = None,
    mode: Literal["self-plan", "force-plan", "grounding"] = "self-plan",
    temperature: float = 0,
    max_new_tokens: int = 1024)

Source from the content-addressed store, hash-verified

505
506
507def generate_response(
508 image: Image.Image,
509 episode: Dict,
510 instruction: str,
511 previous_actions: Optional[str | List[str]] = None,
512 low_level_instruction: Optional[str] = None,
513 mode: Literal["self-plan", "force-plan", "grounding"] = "self-plan",
514 temperature: float = 0,
515 max_new_tokens: int = 1024) -> str:
516 """
517 Modified from the origin code. Do the inference based on the params.
518
519 Args:
520 image (Image.Image)
521 instruction (str)
522 previous_actions (Optional[str | List[str]], optional)
523 low_level_instruction (Optional[str], optional)
524 mode (Literal[], optional)
525 temperature (float, optional)
526 max_new_tokens (int, optional)
527
528 Returns:
529 str: the predict result.
530 """
531
532 global _llm, _processor, _tokenizer
533
534 # process the prompt.
535 system_message = {
536 "role": "system",
537 "content": grounding_system_message if mode == "grounding" else agent_system_message,
538 }
539
540 if isinstance(previous_actions, list):
541 previous_actions = "\n".join(previous_actions)
542 if not previous_actions:
543 previous_actions = "None"
544
545 user_message = {
546 "role": "user",
547 "content": [
548 {"type": "image", "image": image},
549 {
550 "type": "text",
551 "text": user_instruction.format(
552 overall_goal=instruction,
553 previous_actions=previous_actions,
554 low_level_instruction=low_level_instruction,
555 ),
556 },
557 ],
558 }
559
560 if low_level_instruction:
561 recipient_text = f"<|im_start|>assistant<|recipient|>all\nAction: {low_level_instruction}\n"
562 elif mode == "grounding":
563 recipient_text = "<|im_start|>assistant<|recipient|>os\n"
564 elif mode == "self-plan":

Callers

nothing calls this directly

Calls 1

generateMethod · 0.80

Tested by

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