mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-08-04 12:42:51 +08:00
44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
# coding=utf-8
|
|
# Implements stream chat in command line for fine-tuned models.
|
|
# Usage: python cli_demo.py --model_name_or_path path_to_model --checkpoint_dir path_to_checkpoint
|
|
|
|
from llmtuner import ChatModel
|
|
from llmtuner.tuner import get_infer_args
|
|
|
|
|
|
def main():
|
|
chat_model = ChatModel(*get_infer_args())
|
|
history = []
|
|
print("Welcome to the CLI application, use `clear` to remove the history, use `exit` to exit the application.")
|
|
|
|
while True:
|
|
try:
|
|
query = input("\nUser: ")
|
|
except UnicodeDecodeError:
|
|
print("Detected decoding error at the inputs, please set the terminal encoding to utf-8.")
|
|
continue
|
|
except Exception:
|
|
raise
|
|
|
|
if query.strip() == "exit":
|
|
break
|
|
|
|
if query.strip() == "clear":
|
|
history = []
|
|
print("History has been removed.")
|
|
continue
|
|
|
|
print("Assistant: ", end="", flush=True)
|
|
|
|
response = ""
|
|
for new_text in chat_model.stream_chat(query, history):
|
|
print(new_text, end="", flush=True)
|
|
response += new_text
|
|
print()
|
|
|
|
history = history + [(query, response)]
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|