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59 lines
1.5 KiB
Python
59 lines
1.5 KiB
Python
#!/usr/bin/env python3
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# -*- coding:utf-8 -*-
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import torch
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from pilot.conversation import ROLE_ASSISTANT, ROLE_USER
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@torch.inference_mode()
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def chatglm_generate_stream(
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model, tokenizer, params, device, context_len=2048, stream_interval=2
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):
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"""Generate text using chatglm model's chat api"""
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prompt = params["prompt"]
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temperature = float(params.get("temperature", 1.0))
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top_p = float(params.get("top_p", 1.0))
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stop = params.get("stop", "###")
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echo = params.get("echo", False)
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generate_kwargs = {
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"do_sample": True if temperature > 1e-5 else False,
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"top_p": top_p,
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"repetition_penalty": 1.0,
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"logits_processor": None,
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}
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if temperature > 1e-5:
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generate_kwargs["temperature"] = temperature
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# TODO, Fix this
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hist = []
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messages = prompt.split(stop)
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# Add history chat to hist for model.
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for i in range(1, len(messages) - 2, 2):
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hist.append(
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(
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messages[i].split(ROLE_USER + ":")[1],
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messages[i + 1].split(ROLE_ASSISTANT + ":")[1],
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)
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)
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query = messages[-2].split(ROLE_USER + ":")[1]
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print("Query Message: ", query)
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output = ""
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i = 0
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for i, (response, new_hist) in enumerate(
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model.stream_chat(tokenizer, query, hist, **generate_kwargs)
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):
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if echo:
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output = query + " " + response
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else:
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output = response
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yield output
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yield output
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