Minor fix and improvement

vision_agent/utils/execute.py

@@ -112,6 +112,11 @@ def __init__(self, is_main_result: bool, data: Dict[str, Any]):
  self.raw = copy.deepcopy(data)
 
  self.text = data.pop(MimeType.TEXT_PLAIN, None)
+ if self.text and (self.text.startswith("'") and self.text.endswith("'")):
+ # This is a workaround for the issue that str result is wrapped with single quotes by notebook.
+ # E.g. input text: "'flower'". what we want: "flower"
+ self.text = self.text[1:-1]
+
  self.html = data.pop(MimeType.TEXT_HTML, None)
  self.markdown = data.pop(MimeType.TEXT_MARKDOWN, None)
  self.svg = data.pop(MimeType.IMAGE_SVG, None)

vision_agent/utils/sim.py

@@ -1,4 +1,5 @@
 import os
+from functools import lru_cache
 from pathlib import Path
 from typing import Dict, List, Optional, Sequence, Union
 
@@ -33,11 +34,7 @@ def __init__(
  model: str: The model to use for embeddings.
  """
  self.df = df
- if not api_key:
- self.client = OpenAI()
- else:
- self.client = OpenAI(api_key=api_key)
-
+ self.client = OpenAI(api_key=api_key)
  self.model = model
  if "embs" not in df.columns and sim_key is None:
  raise ValueError("key is required if no column 'embs' is present.")
@@ -57,6 +54,7 @@ def save(self, sim_file: Union[str, Path]) -> None:
  df = df.drop("embs", axis=1)
  df.to_csv(sim_file / "df.csv", index=False)
 
+ @lru_cache(maxsize=256)
  def top_k(
  self, query: str, k: int = 5, thresh: Optional[float] = None
  ) -> Sequence[Dict]: