forked from zylon-ai/private-gpt
-
Notifications
You must be signed in to change notification settings - Fork 110
/
streamlit_app.py
92 lines (71 loc) · 2.8 KB
/
streamlit_app.py
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
from dotenv import load_dotenv
import os
import streamlit as st
import requests
from typing import List
import json
import socket
from urllib3.connection import HTTPConnection
API_BASE_URL = os.environ.get("API_BASE_URL")
load_dotenv()
embeddings_model_name = os.environ.get("EMBEDDINGS_MODEL_NAME")
persist_directory = os.environ.get('PERSIST_DIRECTORY')
from constants import CHROMA_SETTINGS
import chromadb
def list_of_collections():
client = chromadb.Client(CHROMA_SETTINGS)
return (client.list_collections())
def main():
st.title("PrivateGPT App: Document Embedding and Retrieval")
# Document upload section
st.header("Document Upload")
files = st.file_uploader("Upload document", accept_multiple_files=True)
# collection_name = st.text_input("Collection Name") not working for some reason
if st.button("Embed"):
embed_documents(files, "collection_name")
# Query section
st.header("Document Retrieval")
collection_names = get_collection_names()
selected_collection = st.selectbox("Select a document", collection_names)
if selected_collection:
query = st.text_input("Query")
if st.button("Retrieve"):
retrieve_documents(query, selected_collection)
def embed_documents(files:List[st.runtime.uploaded_file_manager.UploadedFile], collection_name:str):
endpoint = f"{API_BASE_URL}/embed"
files_data = [("files", file) for file in files]
data = {"collection_name": collection_name}
response = requests.post(endpoint, files=files_data, data=data)
if response.status_code == 200:
st.success("Documents embedded successfully!")
else:
st.error("Document embedding failed.")
st.write(response.text)
def get_collection_names():
collections = list_of_collections()
return [collection.name for collection in collections]
def retrieve_documents(query: str, collection_name: str):
endpoint = f"{API_BASE_URL}/retrieve"
data = {"query": query, "collection_name": collection_name}
# Modify socket options for the HTTPConnection class
HTTPConnection.default_socket_options = (
HTTPConnection.default_socket_options + [
(socket.SOL_SOCKET, socket.SO_KEEPALIVE, 1),
(socket.SOL_TCP, socket.TCP_KEEPIDLE, 45),
(socket.SOL_TCP, socket.TCP_KEEPINTVL, 10),
(socket.SOL_TCP, socket.TCP_KEEPCNT, 6)
]
)
response = requests.post(endpoint, params=data)
if response.status_code == 200:
result = response.json()
st.subheader("Results")
st.text(result["results"])
st.subheader("Documents")
for doc in result["docs"]:
st.text(doc)
else:
st.error("Failed to retrieve documents.")
st.write(response.text)
if __name__ == "__main__":
main()