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import requests
[docs]
class LLMVerbalizer:
def __init__(self, model: str = "mixtral:8x7b",
url: str = "http://tentris-ml.cs.upb.de:8000/api/generate"):
self.model = model
self.url = url
[docs]
def __call__(self, text: str):
"""
:param text: String representation of an OWL Class Expression
"""
prompt = f"<s> [INST] You are an expert in description logics. You are particularly good at explaining complex concepts with few sentences. [/INST] Model answer</s> [INST] Verbalize {text} in natural language with 1 sentence. Provide no explanations or write no notes.[/INST]"
print("Waiting for the verbalization..")
try:
response = requests.get(url=self.url,
headers={"accept": "application/json", "Content-Type": "application/json"},
json={"model": self.model, "prompt": prompt}, timeout=30)
if response.ok:
return response.json()["response"]
else:
return f"No verbalization due to the HTTP connection\t{response.text}"
except:
return f"No verbalization. Error at HTTP connection"