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freemt
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b78ad07
First commit
Browse files- README.md +6 -1
- convbot/__main__.py +21 -0
- convbot/convbot.py +30 -29
README.md
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@@ -20,7 +20,12 @@ pip install convbot -U
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```python
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from convbot import convbot
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convertbot("How are you?")
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# I am good # or along that line
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```
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```python
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from convbot import convbot
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prin(convertbot("How are you?"))
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# I am good # or along that line
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```
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Interactive
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```bash
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python -m convbot
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```
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convbot/__main__.py
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"""Run main.
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python -m convbot
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"""
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from convbot import convbot
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def main():
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print("Bot: Talk to me (type quit to exit)")
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while 1:
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text = input("You: ")
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if text.lower().strip() in ["quit", "exit", "stop"]:
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break
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resp = convbot(text)
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print("Bot: ", resp)
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if __name__ == "__main__":
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main()
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convbot/convbot.py
CHANGED
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@@ -13,12 +13,12 @@ model = AutoModelForCausalLM.from_pretrained(model_name)
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def _convbot(
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) -> str:
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"""Generate a reponse.
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input_ids = tokenizer.encode(text + tokenizer.eos_token, return_tensors="pt")
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if chat_history_ids:
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bot_input_ids = torch.cat([chat_history_ids,
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else:
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bot_input_ids = input_ids
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@@ -52,27 +52,29 @@ def _convbot(
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top_p=top_p,
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top_k=top_k,
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temperature=temperature,
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pad_token_id=tokenizer.eos_token_id
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)
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output = tokenizer.decode(
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_convbot.chat_history_ids = chat_history_ids
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return output
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def convbot(
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) -> str:
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"""Generate a response."""
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try:
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except Exception as e:
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logger.error(e)
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raise
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except AttributeError:
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prev_resp = ""
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resp = _convbot(text, max_length,
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# retry
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if not resp.strip():
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idx = 0
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while idx <
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idx += 1
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_convbot.chat_history_ids = ""
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resp = _convbot(text, max_length,
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if resp.strip():
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break
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else:
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logger.warning("bot acting up (empty response), something has gone awry")
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# check repeated responses
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if resp.strip() ==
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idx = 0
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while idx <
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idx += 1
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resp = _convbot(text, max_length,
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if resp.strip() !=
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break
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else:
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logger.warning("bot acting up (repeating), something has gone awry")
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def main():
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print("Talk to me")
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while 1:
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text = input("You: ")
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resp = _convbot(text)
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if __name__ == "__main__":
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main()
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def _convbot(
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text: str,
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max_length: int = 1000,
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do_sample: bool = True,
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top_p: float = 0.95,
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top_k: int = 0,
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temperature: float = 0.75,
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) -> str:
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"""Generate a reponse.
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input_ids = tokenizer.encode(text + tokenizer.eos_token, return_tensors="pt")
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if chat_history_ids:
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bot_input_ids = torch.cat([chat_history_ids, input_ids], dim=-1)
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else:
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bot_input_ids = input_ids
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top_p=top_p,
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top_k=top_k,
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temperature=temperature,
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pad_token_id=tokenizer.eos_token_id,
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)
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output = tokenizer.decode(
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chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True
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)
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_convbot.chat_history_ids = chat_history_ids
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return output
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def convbot(
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text: str,
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n_retries: int = 3,
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max_length: int = 1000,
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do_sample: bool = True,
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top_p: float = 0.95,
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top_k: int = 0,
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temperature: float = 0.75,
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) -> str:
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"""Generate a response."""
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try:
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n_retries = int(n_retries)
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except Exception as e:
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logger.error(e)
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raise
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except AttributeError:
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prev_resp = ""
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resp = _convbot(text, max_length, do_sample, top_p, top_k, temperature)
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# retry n_retries if resp is empty
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if not resp.strip():
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idx = 0
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while idx < n_retries:
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idx += 1
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_convbot.chat_history_ids = ""
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resp = _convbot(text, max_length, do_sample, top_p, top_k, temperature)
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if resp.strip():
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break
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else:
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logger.warning("bot acting up (empty response), something has gone awry")
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# check repeated responses
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if resp.strip() == prev_resp:
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idx = 0
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while idx < n_retries:
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idx += 1
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resp = _convbot(text, max_length, do_sample, top_p, top_k, temperature)
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if resp.strip() != prev_resp:
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break
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else:
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logger.warning("bot acting up (repeating), something has gone awry")
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def main():
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print("Bot: Talk to me")
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while 1:
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text = input("You: ")
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resp = _convbot(text)
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if __name__ == "__main__":
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main()
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