File size: 3,385 Bytes
6cf60f3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 | import os
from time import sleep
try:
from google import genai
from google.genai.types import GenerateContentConfigDict, ThinkingConfig
except ImportError as e:
pass
from lcb_runner.runner.base_runner import BaseRunner
from lcb_runner.lm_styles import LMStyle
class GeminiRunner(BaseRunner):
client = genai.Client(
# api_key=os.getenv("GOOGLE_API_KEY"), http_options={"api_version": "v1alpha"}
vertexai=True,
project=os.getenv("VERTEX_GEMINI_PROJECT"),
location=os.getenv("VERTEX_GEMINI_LOCATION"),
)
safety_settings = [
{
"category": "HARM_CATEGORY_HARASSMENT",
"threshold": "BLOCK_NONE",
},
{
"category": "HARM_CATEGORY_HATE_SPEECH",
"threshold": "BLOCK_NONE",
},
{
"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
"threshold": "BLOCK_NONE",
},
{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"threshold": "BLOCK_NONE",
},
]
def __init__(self, args, model):
super().__init__(args, model)
self.args = args
self.model = model
if self.model.model_style == LMStyle.GeminiThinking:
self.generation_config = GenerateContentConfigDict(
# candidate_count=args.n,
# temperature=0.7,
# top_p=0.95,
# top_k=64,
# max_output_tokens=65536,
safety_settings=GeminiRunner.safety_settings,
thinking_config=ThinkingConfig(include_thoughts=True),
)
print("GeminiThinking model")
else:
self.generation_config = GenerateContentConfigDict(
max_output_tokens=args.max_tokens,
temperature=args.temperature,
top_p=args.top_p,
safety_settings=GeminiRunner.safety_settings,
candidate_count=args.n,
)
def _run_single(self, prompt: str) -> list[str]:
try:
outputs = self.client.models.generate_content(
model=self.model.model_name,
contents=prompt,
config=self.generation_config,
).candidates
if outputs is None:
print("No outputs from Gemini")
return ["" for _ in range(self.args.n)]
except Exception as e:
print("Exception: ", repr(e))
print("Sleeping for 30 seconds...")
print("Consider reducing the number of parallel processes.")
sleep(30)
return self._run_single(prompt)
new_outputs = []
for output in outputs:
try:
texts = [part.text for part in output.content.parts]
texts = [
"## Part " + str(i) + "\n" + text for i, text in enumerate(texts)
]
text = "\n\n\n".join(texts)
if text == "":
print("Empty text for output")
print(output.__dict__)
new_outputs.append(text)
except Exception as e:
print("Cannot extract text exception: ", repr(e))
print(output.__dict__)
new_outputs.append("")
outputs = new_outputs
return outputs
|