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fix english query bug (#840)
### What problem does this PR solve? #834 ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
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@ -2,9 +2,10 @@ import argparse
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import pickle
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import random
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import time
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from copy import deepcopy
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from multiprocessing.connection import Listener
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from threading import Thread
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
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def torch_gc():
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@ -95,6 +96,32 @@ def chat(messages, gen_conf):
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return str(e)
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def chat_streamly(messages, gen_conf):
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global tokenizer
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model = Model()
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try:
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torch_gc()
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conf = deepcopy(gen_conf)
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print(messages, conf)
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True
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)
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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streamer = TextStreamer(tokenizer)
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conf["inputs"] = model_inputs.input_ids
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conf["streamer"] = streamer
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conf["max_new_tokens"] = conf["max_tokens"]
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del conf["max_tokens"]
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thread = Thread(target=model.generate, kwargs=conf)
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thread.start()
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for _, new_text in enumerate(streamer):
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yield new_text
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except Exception as e:
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yield "**ERROR**: " + str(e)
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def Model():
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global models
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random.seed(time.time())
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@ -113,6 +140,7 @@ if __name__ == "__main__":
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handler = RPCHandler()
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handler.register_function(chat)
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handler.register_function(chat_streamly)
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models = []
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for _ in range(1):
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