-
Notifications
You must be signed in to change notification settings - Fork 0
/
app.py
234 lines (207 loc) · 14 KB
/
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
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
from openai import OpenAI
import streamlit as st
from st_pages import Page, show_pages
import time
import pandas as pd
from io import StringIO
import sys
from tabulate import tabulate
import os
import re
sys.path.append(f"./backend/")
from main import user_input, reblur_data, process_request
from pdfminer.high_level import extract_text
UPLOAD_FOLDER = 'uploaded_files/'
def main():
st.set_page_config(layout="wide", initial_sidebar_state="collapsed", page_title="BlurredAI", page_icon="https://media.discordapp.net/attachments/713817450130571416/1208719786041810984/icon.png?ex=65e44f05&is=65d1da05&hm=080bc21bdb34c2fcc95dc6e6bfbc7332223822f3fc1b536762bfc2df879eb3a0&=&format=webp&quality=lossless&width=1376&height=1376")
st.markdown(
"""
<style>
[data-testid="stSidebar"][aria-expanded="false"] > div:first-child{
width: 400px;
margin-left: -400px;
}
""",
unsafe_allow_html=True,
)
show_pages(
[
Page("app.py", "Chat", ":thought_balloon:"),
Page("about.py", "About", ":information_source:")
]
)
# localModelMapping = {'LLaMA-2 Chat (70B)' : 'meta-llama/Llama-2-70b-chat-hf', 'LLaMA-2 Chat (13B)' : 'meta-llama/Llama-2-13b-chat-hf', 'LLaMA-2 Chat (7B)' : 'meta-llama/Llama-2-7b-chat-hf', 'Mistral (7B) Instruct v0.2' : 'mistralai/Mistral-7B-Instruct-v0.2', 'Mixtral-8x7B Instruct (46.7B)' : 'mistralai/Mixtral-8x7B-Instruct-v0.1'}
localModelMapping = {'LLaMA-2 Chat (70B)' : 'mistralai/Mixtral-8x7B-Instruct-v0.1', 'LLaMA-2 Chat (13B)' : 'mistralai/Mixtral-8x7B-Instruct-v0.1', 'LLaMA-2 Chat (7B)' : 'mistralai/Mixtral-8x7B-Instruct-v0.1', 'Mistral (7B) Instruct v0.2' : 'mistralai/Mixtral-8x7B-Instruct-v0.1', 'Mixtral-8x7B Instruct (46.7B)' : 'mistralai/Mixtral-8x7B-Instruct-v0.1'}
remoteModelMapping = {'GPT-4':'gpt-4-turbo-preview', 'GPT-3.5':'gpt-3.5-turbo', 'Gemini-1.0 Pro': 'gemini-1.0-pro'}
redactedInstruction = ""
redactedText = ""
rawData = ""
unblurredData = ""
currentPrompt = ""
file_path = ""
redactedDataApproved = False
private_data = ""
if 'redactedDataApproved' not in st.session_state:
st.session_state.redactedDataApproved = redactedDataApproved
if 'currentPrompt' not in st.session_state:
st.session_state.currentPrompt = currentPrompt
if 'redacted' not in st.session_state:
st.session_state.redacted = redactedText
if 'redactedInstruction' not in st.session_state:
st.session_state.redactedInstruction = redactedInstruction
if 'rawData' not in st.session_state:
st.session_state.rawData = rawData
if 'unblurredData' not in st.session_state:
st.session_state.unblurredData = unblurredData
if 'running_state' not in st.session_state:
st.session_state.running_state = ""
if 'file_path' not in st.session_state:
st.session_state.file_path = ""
if 'private_data' not in st.session_state:
st.session_state.private_data = ""
with st.sidebar:
# Set up sidebar for chat history
st.title("Chat History")
st.write("This is where your chat history goes.")
"[Model Duplication Warning...](https://platform.openai.com/account/api-keys)"
"[Higher level data insights...](https://github.com/streamlit/llm-examples/blob/main/Chatbot.py)"
"[Git rebase branching...](https://github.com/streamlit/llm-examples/blob/main/Chatbot.py)"
userInputted = False
# Create two columns for the panels
col0, col1, col2 = st.columns([2, 3, 3])
def stream_data(textToDisplay, stop_time = 0.03):
for word in re.split(r'(\s+)', textToDisplay):
yield word
time.sleep(stop_time)
# First panel covering half the page
with col0:
# st.title("BlurredAI")
st.image("https://media.discordapp.net/attachments/713817450130571416/1208728527323668520/cover.png?ex=65e4572a&is=65d1e22a&hm=7f169f9aa186d86b8814c0dd124c3486e2db7280886fdf56d9dbf43ac4643e20&=&format=webp&quality=lossless&width=1410&height=452")
st.caption("A privacy-first inference for any Large Language Model")
private_data = st.text_area("Text your private data here", height=300)
uploaded_file = st.file_uploader("Choose a file")
with col1:
localModelChosen = st.selectbox('Choose a local model to privatize your request',
('Mixtral-8x7B Instruct (46.7B)', 'Mistral (7B) Instruct v0.2', 'LLaMA-2 Chat (70B)', 'LLaMA-2 Chat (13B)', 'LLaMA-2 Chat (7B)', ))
with st.container(height=650, border=True):
# Initialize chat history
if "box1messages" not in st.session_state:
st.session_state.box1messages = []
# Display chat messages from history on app rerun
for message in st.session_state.box1messages:
if (message["role"] == "user"):
with st.chat_message(message["role"], avatar="https://github.com/rchtgpt.png"):
st.markdown(message["content"])
if (message["role"] == "blurredAI"):
with st.chat_message("assistant", avatar="https://media.discordapp.net/attachments/713817450130571416/1208709666461323305/logo.jpeg?ex=65e44599&is=65d1d099&hm=ac498b5d773ee33297fa4932964e5f6dd146d14fe2250026967cde3e3f60e16c&=&format=webp&width=1006&height=1008"):
st.markdown(message["content"])
if st.session_state.running_state == "prompting":
prompt = st.session_state.currentPrompt
private_data = st.session_state.private_data
uploaded_file = st.uploaded_file
file_path = st.session_state.file_path
st.session_state.running_state = "blurring"
if(st.session_state.currentPrompt != ""):
with st.chat_message("user", avatar="https://github.com/rchtgpt.png"):
show_text = f'**Instruction:** {prompt}\n\n'
st.write_stream(stream_data(f'**Instruction:** {prompt}\n\n', stop_time = 0))
if (private_data != ""):
show_text += f'**Private Data:** {private_data}'
st.write_stream(stream_data(f'**Private Data:** {private_data}', stop_time = 0))
if (file_path != ""):
#turn uploaded file into a string
if file_path.endswith(".csv"):
uploaded_file = pd.read_csv(file_path)
uploaded_file = tabulate(uploaded_file, headers=uploaded_file.columns, tablefmt="github")
#uploaded_file = uploaded_file.replace("\n", "\n\n")
else:
uploaded_file = extract_text(file_path)
show_text += f'**Private File Preview:** \n\n{uploaded_file[:1000]}'
st.write_stream(stream_data(f'**Private File Preview:** \n\n{uploaded_file[:1000]}', stop_time = 0))
st.session_state.box1messages.append({"role": "user", "content": show_text})
if(st.session_state.currentPrompt != ""):
redactedInstruction, redactedText = user_input(prompt, private_data, localModelMapping[localModelChosen], file_path=file_path)
st.session_state.redacted = redactedText
st.session_state.redactedInstruction = redactedInstruction
userInputted = True
st.session_state.currentPrompt = prompt
if (st.session_state.unblurredData != "" and st.session_state.running_state == "finalizing"):
st.session_state.box1messages.append({"role": "blurredAI", "content": "**Final Response (Powered by BlurredAI)**\n" + st.session_state.unblurredData})
with st.chat_message("assistant", avatar="https://media.discordapp.net/attachments/713817450130571416/1208709666461323305/logo.jpeg?ex=65e44599&is=65d1d099&hm=ac498b5d773ee33297fa4932964e5f6dd146d14fe2250026967cde3e3f60e16c&=&format=webp&width=1006&height=1008"):
st.write_stream(stream_data("**Final Response (Powered by BlurredAI)**"))
st.write_stream(stream_data(st.session_state.unblurredData))
st.session_state.running_state = "done"
if prompt := st.chat_input("Ask me a question about your data (privately)..."):
st.session_state.running_state = "prompting"
st.uploaded_file = uploaded_file
if uploaded_file is not None:
file_path = os.path.join(UPLOAD_FOLDER, uploaded_file.name)
with open(file_path, "wb") as f:
f.write(uploaded_file.getbuffer())
else:
file_path = ""
st.session_state.redacted = ""
st.session_state.rawData = ""
st.session_state.unblurredData = ""
st.session_state.currentPrompt = prompt
st.session_state.redactedDataApproved = False
st.session_state.file_path = file_path
st.session_state.private_data = private_data
st.experimental_rerun()
def set_state(i):
if i == 1:
st.session_state.running_state = "reblurring"
else:
st.session_state.running_state = "blurred"
st.session_state.box2messages.append({"role": "blurredAI", "content": f"**Here is what I'm going to send to the remote server, with sensitive information redacted:**\n\n**Instruction:** {st.session_state.redactedInstruction}\n\n**Redacted Data:** {st.session_state.redacted}"})
st.session_state.stage = i
# Second panel covering half the page
with col2:
remoteModelChosen = st.selectbox('Choose a remote model to process your private request',
('GPT-4', 'GPT-3.5', 'Gemini-1.0 Pro'))
with st.container(height=650, border=True):
# Display assistant response in chat message container
if "box2messages" not in st.session_state:
st.session_state.box2messages = []
# Display chat messages from history on app rerun
for message in st.session_state.box2messages:
print("message", message)
if (message["role"] == "user"):
with st.chat_message(message["role"], avatar="https://github.com/rchtgpt.png"):
st.markdown(message["content"])
if (message["role"] == "blurredAI"):
with st.chat_message("assistant", avatar="https://media.discordapp.net/attachments/713817450130571416/1208709666461323305/logo.jpeg?ex=65e44599&is=65d1d099&hm=ac498b5d773ee33297fa4932964e5f6dd146d14fe2250026967cde3e3f60e16c&=&format=webp&width=1006&height=1008"):
st.markdown(message["content"])
if (message["role"] == "llm"):
with st.chat_message("assistant", avatar="https://freepnglogo.com/images/all_img/1690998192chatgpt-logo-png.png"):
st.markdown(message["content"])
if st.session_state.redacted != "" and ( st.session_state.running_state == "blurring" or st.session_state.running_state == "reblurred"):
with st.chat_message("assistant", avatar="https://media.discordapp.net/attachments/713817450130571416/1208709666461323305/logo.jpeg?ex=65e44599&is=65d1d099&hm=ac498b5d773ee33297fa4932964e5f6dd146d14fe2250026967cde3e3f60e16c&=&format=webp&width=1006&height=1008"):
st.write_stream(stream_data("**Here is what I'm going to send to the remote server, with sensitive information redacted:**"))
st.write_stream(stream_data(f"**Instruction:** {st.session_state.redactedInstruction}"))
st.write_stream(stream_data(f"**Redacted Data:** {st.session_state.redacted}"))
if st.button("No, reblur", type="secondary", on_click=set_state, args=[1]):
st.experimental_rerun()
pass # Placeholder to prevent content from being cleared
if st.button("Yes, continue", type="primary", on_click=set_state, args=[2]):
pass # Placeholder to prevent content from being cleared
if st.session_state.running_state == "reblurring":
st.session_state.running_state = "reblurred"
st.session_state.redactedInstruction, st.session_state.redacted = reblur_data(st.session_state.currentPrompt, private_data, redactedText, localModelMapping[localModelChosen], file_path = st.session_state.file_path)
st.experimental_rerun()
if st.session_state.running_state == "blurred":
raw_output, unblurred_response = process_request(st.session_state.redactedInstruction, st.session_state.redacted, localModelMapping[localModelChosen], remoteModelMapping[remoteModelChosen])
st.session_state.rawData = raw_output
st.session_state.unblurredData = unblurred_response
if (st.session_state.rawData != ""):
with st.chat_message("assistant", avatar="https://freepnglogo.com/images/all_img/1690998192chatgpt-logo-png.png"):
# Append the new message to the chat history
st.session_state.box2messages.append({"role": "llm", "content": f"**Output by LLM (on Filtered Input)**\n\n {st.session_state.rawData}"})
# Display only the new message
st.write_stream(stream_data("**Output by LLM (on Filtered Input)**"))
st.write_stream(stream_data(st.session_state.rawData))
st.session_state.running_state = "finalizing"
st.experimental_rerun()
#st.session_state.rawData = ""
if __name__ == "__main__":
main()