get llm response

prepare.py

@@ -0,0 +1,29 @@
+from pathlib import Path
+
+text = Path("four_truths.txt").read_text(encoding="utf-8")
+
+data = []
+
+for line in text.splitlines():
+    data.append(line)
+
+data = [line for line in data if line]
+
+json_data = []
+char_count = 0
+for idx, line in enumerate(data):
+    curr_json_data = {}
+    span = {"start": char_count, "end": len(line) + char_count}
+    char_count += len(line)
+    curr_json_data = {
+        "span": span,
+        "content": line,
+        "pecha": "four_truth",
+        "line_count": idx,
+    }
+    json_data.append(curr_json_data)
+
+
+from bo_rag_prep_tool.utils import write_json
+
+write_json("four_truth.json", json_data)