Spaces:
Sleeping
Sleeping
Update src/streamlit_app.py
Browse files- src/streamlit_app.py +3 -5
src/streamlit_app.py
CHANGED
|
@@ -5,6 +5,7 @@ import streamlit as st
|
|
| 5 |
from pathlib import Path
|
| 6 |
from typing import List, Annotated, Any
|
| 7 |
import operator
|
|
|
|
| 8 |
import pandas as pd
|
| 9 |
from tqdm import tqdm
|
| 10 |
from pydantic import BaseModel
|
|
@@ -23,8 +24,7 @@ COHERE_API_KEY = os.environ["COHERE_API_KEY"]
|
|
| 23 |
co = cohere.Client(COHERE_API_KEY)
|
| 24 |
|
| 25 |
documents_path = Path(__file__).parent / "documents"
|
| 26 |
-
|
| 27 |
-
persist_dir = "chroma_store"
|
| 28 |
|
| 29 |
def prepare_vectorstore():
|
| 30 |
loader = DirectoryLoader(str(documents_path), glob="**/*.txt", loader_cls=TextLoader)
|
|
@@ -33,7 +33,6 @@ def prepare_vectorstore():
|
|
| 33 |
docs = splitter.split_documents(documents)
|
| 34 |
embedding = CohereEmbeddings(
|
| 35 |
model="embed-multilingual-light-v3.0",
|
| 36 |
-
user_agent="langchain-app/1.0",
|
| 37 |
cohere_api_key=""
|
| 38 |
)
|
| 39 |
vectorstore = Chroma.from_documents(
|
|
@@ -44,8 +43,7 @@ def prepare_vectorstore():
|
|
| 44 |
vectorstore.persist()
|
| 45 |
return vectorstore
|
| 46 |
|
| 47 |
-
|
| 48 |
-
prepare_vectorstore()
|
| 49 |
|
| 50 |
class State(BaseModel):
|
| 51 |
state: List[str] = []
|
|
|
|
| 5 |
from pathlib import Path
|
| 6 |
from typing import List, Annotated, Any
|
| 7 |
import operator
|
| 8 |
+
import tempfile
|
| 9 |
import pandas as pd
|
| 10 |
from tqdm import tqdm
|
| 11 |
from pydantic import BaseModel
|
|
|
|
| 24 |
co = cohere.Client(COHERE_API_KEY)
|
| 25 |
|
| 26 |
documents_path = Path(__file__).parent / "documents"
|
| 27 |
+
persist_dir = tempfile.mkdtemp()
|
|
|
|
| 28 |
|
| 29 |
def prepare_vectorstore():
|
| 30 |
loader = DirectoryLoader(str(documents_path), glob="**/*.txt", loader_cls=TextLoader)
|
|
|
|
| 33 |
docs = splitter.split_documents(documents)
|
| 34 |
embedding = CohereEmbeddings(
|
| 35 |
model="embed-multilingual-light-v3.0",
|
|
|
|
| 36 |
cohere_api_key=""
|
| 37 |
)
|
| 38 |
vectorstore = Chroma.from_documents(
|
|
|
|
| 43 |
vectorstore.persist()
|
| 44 |
return vectorstore
|
| 45 |
|
| 46 |
+
prepare_vectorstore()
|
|
|
|
| 47 |
|
| 48 |
class State(BaseModel):
|
| 49 |
state: List[str] = []
|