Spaces:
Runtime error
Runtime error
Upload 2 files
Browse files- knowledge.py +27 -0
- tasks.py +10 -0
knowledge.py
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
from sentence_transformers import SentenceTransformer
|
3 |
+
import faiss
|
4 |
+
import os
|
5 |
+
|
6 |
+
class KnowledgeIngestor:
|
7 |
+
def __init__(self):
|
8 |
+
self.model = SentenceTransformer("all-MiniLM-L6-v2")
|
9 |
+
self.index = faiss.IndexFlatL2(384)
|
10 |
+
self.texts = []
|
11 |
+
|
12 |
+
def ingest_directory(self, dir_path):
|
13 |
+
for fname in os.listdir(dir_path):
|
14 |
+
if fname.endswith(".txt"):
|
15 |
+
with open(os.path.join(dir_path, fname), "r", encoding="utf-8") as f:
|
16 |
+
content = f.read()
|
17 |
+
self.add_text(content)
|
18 |
+
|
19 |
+
def add_text(self, text):
|
20 |
+
vec = self.model.encode([text])
|
21 |
+
self.index.add(vec)
|
22 |
+
self.texts.append(text)
|
23 |
+
|
24 |
+
def search(self, query, top_k=3):
|
25 |
+
vec = self.model.encode([query])
|
26 |
+
D, I = self.index.search(vec, top_k)
|
27 |
+
return [self.texts[i] for i in I[0]]
|
tasks.py
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
import subprocess
|
3 |
+
|
4 |
+
class TaskAgent:
|
5 |
+
def run_shell_command(self, command):
|
6 |
+
try:
|
7 |
+
result = subprocess.run(command, shell=True, capture_output=True, text=True, timeout=10)
|
8 |
+
return result.stdout or result.stderr
|
9 |
+
except Exception as e:
|
10 |
+
return f"[TaskAgent Error] {str(e)}"
|