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hackGPTv23.py
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hackGPTv23.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import requests
import json
import streamlit as st
from dotenv import load_dotenv, set_key
import pandas as pd
import os
import csv
import openai
import time
import altair as alt
load_dotenv('.env')
openai.api_key = os.environ.get('OPENAI_API_KEY')
if not openai.api_key:
openai.api_key = st.text_input("Enter OPENAI_API_KEY API key")
set_key('.env', 'OPENAI_API_KEY', openai.api_key)
os.environ['OPENAI_API_KEY'] = openai.api_key
st.set_page_config(page_title="𝚑𝚊𝚌𝚔🅶🅿🆃", page_icon="https://raw.githubusercontent.com/NoDataFound/hackGPT/main/res/hackgpt_fav.png", layout="wide")
# Define the chat history data as a Pandas DataFrame
CSS = """
img {
box-shadow: 0px 10px 15px rgba(0, 0, 0, 0.2);
}
"""
st.markdown(f'<style>{CSS}</style>', unsafe_allow_html=True)
st.sidebar.image('https://raw.githubusercontent.com/NoDataFound/hackGPT/main/res/hackGPT_logo.png', width=300)
github_logo = "https://raw.githubusercontent.com/NoDataFound/hackGPT/main/res/github.png"
hackGPT_repo = "https://github.com/NoDataFound/hackGPT"
st.sidebar.markdown(f"[]({hackGPT_repo} 'hackGPT repo')")
#Persona Setup
def get_persona_files():
return [f.split(".")[0] for f in os.listdir("personas") if f.endswith(".md")]
persona_files = get_persona_files()
selected_persona = st.sidebar.selectbox("👤 𝖲𝖾𝗅𝖾𝖼𝗍 𝖫𝗈𝖼𝖺𝗅 𝖯𝖾𝗋𝗌𝗈𝗇𝖺", ["None"] + persona_files)
persona_files = [f.split(".")[0] for f in os.listdir("personas") if f.endswith(".md")]
# OpenAI setup
MODEL = st.sidebar.selectbox(label='Model', options=['gpt-3.5-turbo','gpt-3.5-turbo-0301','gpt-4','gpt-4-0314','text-davinci-003','text-davinci-002','text-davinci-edit-001','code-davinci-edit-001'])
default_temperature = 1.0
temperature = st.sidebar.slider(
"𝗧𝗲𝗺𝗽𝗲𝗿𝗮𝘁𝘂𝗿𝗲 | 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗲 <𝟬.𝟱", min_value=0.0, max_value=1.0, step=0.1, value=default_temperature
)
max_tokens = st.sidebar.slider("𝗠𝗔𝗫 𝗢𝗨𝗧𝗣𝗨𝗧 𝗧𝗢𝗞𝗘𝗡𝗦", 10, 200, 2300)
#Prompt Setups
url = "https://raw.githubusercontent.com/f/awesome-chatgpt-prompts/main/prompts.csv"
jailbreaks = "https://raw.githubusercontent.com/NoDataFound/hackGPT/main/jailbreaks.csv"
data = pd.read_csv(url)
new_row = pd.DataFrame({"act": [" "], "prompt": [""]})
data = pd.concat([data, new_row], ignore_index=True)
expand_section = st.sidebar.expander("👤 Manage Personas", expanded=False)
jailbreakdata = pd.read_csv(jailbreaks)
jailbreaknew_row = pd.DataFrame({"hacker": [" "], "text": [""]})
jailbreakdata = pd.concat([jailbreakdata, jailbreaknew_row], ignore_index=True)
with expand_section:
#st.subheader("👤 Manage Personas")
if selected_persona:
with open(os.path.join("personas", f"{selected_persona}.md"), "r") as f:
persona_text = f.read()
new_persona_name = st.text_input("Persona Name:", value=selected_persona)
new_persona_prompt = st.text_area("Persona Prompt:", value=persona_text, height=100)
if new_persona_name != selected_persona or new_persona_prompt != persona_text:
with open(os.path.join("personas", f"{new_persona_name}.md"), "w") as f:
f.write(new_persona_prompt)
if new_persona_name != selected_persona:
os.remove(os.path.join("personas", f"{selected_persona}.md"))
persona_files.remove(selected_persona)
persona_files.append(new_persona_name)
selected_persona = new_persona_name
if st.button("➖ Delete Persona"):
if st.warning("Persona Deleted"):
os.remove(os.path.join("personas", f"{selected_persona}.md"))
persona_files.remove(selected_persona)
selected_persona = ""
expand_section = st.sidebar.expander("🥷 Import Remote Persona", expanded=False)
with expand_section:
selected_act = st.selectbox('', data['act'])
show_remote_prompts = st.checkbox("Show remote prompt options")
if selected_act and selected_act.strip():
selected_prompt = data.loc[data['act'] == selected_act, 'prompt'].values[0]
confirm = st.button("Save Selected Persona")
if confirm:
if not os.path.exists("personas"):
os.mkdir("personas")
with open(os.path.join("personas", f"{selected_act}_remote.md"), "w") as f:
f.write(selected_prompt)
expand_section = st.sidebar.expander("🏴☠️ Jailbreaks", expanded=False)
with expand_section:
selected_hacker = st.selectbox('', jailbreakdata['hacker'])
show_hack_prompts = st.checkbox("Show jailbreak options")
if selected_hacker and selected_hacker.strip():
selected_jailbreak_prompt = jailbreakdata.loc[jailbreakdata['hacker'] == selected_hacker, 'text'].values[0]
confirm = st.button("Save Selected Jailbreak")
if confirm:
if not os.path.exists("personas"):
os.mkdir("personas")
with open(os.path.join("personas", f"{selected_hacker}_jailbreak.md"), "w") as f:
f.write(selected_jailbreak_prompt)
expand_section = st.sidebar.expander("➕ Add new Persona", expanded=False)
if show_hack_prompts:
st.write(jailbreakdata[['hacker', 'text']].style.hide(axis="index").set_properties(subset='text', **{
'max-width': '100%',
'white-space': 'pre-wrap'
}))
elif show_remote_prompts:
st.write(data[['act', 'prompt']].style.hide(axis="index").set_properties(subset='prompt', **{
'max-width': '100%',
'white-space': 'pre-wrap'
}))
with expand_section:
st.subheader("➕ Add new Persona")
st.text("Press enter to update/save")
persona_files = get_persona_files()
new_persona_name = st.text_input("Persona Name:")
if new_persona_name in persona_files:
st.error("This persona name already exists. Please choose a different name.")
else:
new_persona_prompt = st.text_area("Persona Prompt:", height=100)
if new_persona_name and new_persona_prompt:
with open(os.path.join("personas", f"{new_persona_name}.md"), "w") as f:
f.write(new_persona_prompt)
persona_files.append(new_persona_name)
selected_persona = new_persona_name
if selected_persona:
with open(os.path.join("personas", f"{selected_persona}.md"), "r") as f:
persona_text = f.read()
#st.text("Press Enter to add")
#options = st.multiselect(
# '**Persona Tags:**',
# options=persona_files,
# default=persona_files,
# key='persona_files'
#)
# Define the function to get the AI's response
def get_ai_response(text_input):
messages = [{'role': 'system', 'content': 'You are a helpful assistant.'},
{'role': 'user', 'content': text_input+persona_text}]
response = openai.ChatCompletion.create(
model=MODEL,
messages=messages,
temperature=temperature,
max_tokens=max_tokens,
top_p=1,
frequency_penalty=0,
presence_penalty=0.6,
stop=[" Human:", " AI:"]
)
return response['choices'][0]['message']['content']
def add_text(text_input):
response = openai.Completion.create(
model=MODEL,
prompt=str(persona_text) + text_input,
temperature=temperature,
max_tokens=max_tokens,
top_p=1,
frequency_penalty=0,
presence_penalty=0,
stop=["\"\"\""]
)
return response['choices'][0]['text']
try:
if st.session_state.chat_history == 0 :
col1, col2, col3 ,col4, col5 = st.columns(5)
col1.metric("Persona", selected_persona,selected_persona )
col2.metric("Persona Count", len(persona_files),len(persona_files) )
col3.metric("Jailbreaks", len(jailbreakdata), len(jailbreakdata))
col4.metric("Model", MODEL)
col5.metric("Model Count", len(MODEL), len(MODEL))
elif st.session_state.chat_history != 0 :
col1, col2, col3 ,col4, col5, col6 = st.columns(6)
col1.metric("Persona", selected_persona,selected_persona )
col2.metric("Persona Count", len(persona_files),len(persona_files) )
col3.metric("Jailbreaks", len(jailbreakdata), len(jailbreakdata))
col4.metric("Model", MODEL)
col5.metric("Model Count", len(MODEL), len(MODEL))
col6.metric("Messages", len(st.session_state.chat_history), len(st.session_state.chat_history))
except:
pass
#st.sidebar.header("File Upload")
file = st.sidebar.file_uploader("", type=["txt"])
#if file is not None:
# line_by_line = st.sidebar.checkbox("Process line by line")
# max_length = 2000
# text = file.read().decode("utf-8")
# if line_by_line:
# for line in text.split("\n"):
# st.write(f"Input: {line}")
# response = get_ai_response(line)
# st.write(f"Output: {response}")
# else:
# chunks = chunk_text(text, max_length)
# for chunk in chunks:
# st.write(f"Input: {chunk}")
# response = add_text(chunk)
# st.write(f"Output: {response}")
user_css = """
<style>
.user {
display: inline-block;
padding: 8px;
border-radius: 10px;
margin-bottom: 1px;
border: 1px solid #e90ce4;
width: 100%;
height: 100%; /* Set the height to a fixed value */
overflow-y: scroll; /* Add a scrollbar if necessary */
}
</style>
"""
ai_css = """
<style>
.ai {
display: inline-block;
padding: 10px;
border-radius: 10px;
margin-bottom: 1px;
border: 1px solid #0ab5e0;
width: 100%;
overflow-x: scroll; /* Set the x to a fixed value */
height: 100%; /* Set the height to a fixed value */
overflow-y: scroll; /* Add a scrollbar if necessary */
}
</style>
"""
model_css = """
<style>
.model {
display: inline-block;
background-color: #f0e0ff;
padding: 1px;
border-radius: 5px;
margin-bottom: 5px;
width: 100%;
height: 100%; /* Set the height to a fixed value */
overflow-y: scroll; /* Add a scrollbar if necessary */
}
</style>
"""
st.markdown(user_css, unsafe_allow_html=True)
st.markdown(ai_css, unsafe_allow_html=True)
if "chat_history" not in st.session_state:
st.session_state.chat_history = []
def display_chat_history():
for i, (role, text) in reversed(list(enumerate(st.session_state.chat_history))):
alignment = 'left' if role == 'user' else 'left'
if role == 'user':
margin = 'margin-bottom: 1px;'
else:
margin = 'margin-top: 8px;'
col1, col2 = st.columns([2, 8])
with col1:
if role == 'user':
st.markdown(f'<div style="{margin}" class="{role}">{text}</div>', unsafe_allow_html=True)
if role == 'model':
st.markdown(f'<div style="text-align: left; color: green;" class="{role}">{text}</div>', unsafe_allow_html=True)
else:
st.markdown('')
with col2:
if role == 'ai':
st.markdown(f'<div style="text-align: {alignment}; {margin}" class="{role}">{text}</div>', unsafe_allow_html=True)
if role == 'persona':
st.markdown(f'<div style="text-align: right; color: orange;" class="{role}">{text}</div>', unsafe_allow_html=True)
st.write("")
text_input = st.text_input("", value="", key="text_input", placeholder="Type your message here...", help="Press Enter to send your message.")
if MODEL == 'gpt-3.5-turbo' or MODEL == 'gpt-4' or MODEL == 'gpt-3.5-turbo-0301' or MODEL == 'gpt-4-0314':
if text_input:
ai_response = get_ai_response(text_input)
st.session_state.chat_history.append(('ai', f"{ai_response}"))
st.session_state.chat_history.append(('persona', f"{selected_persona}"))
st.session_state.chat_history.append(('user', f"You: {text_input}"))
st.session_state.chat_history.append(('model', f"{MODEL}"))
elif MODEL != 'gpt-3.5-turbo' or MODEL != 'gpt-4' or MODEL != 'gpt-3.5-turbo-0301' or MODEL != 'gpt-4-0314':
if text_input:
ai_responses = add_text(text_input)
st.session_state.chat_history.append(('ai', f"{ai_responses}"))
#st.session_state.chat_history.append(('ai', f"{line}"))
st.session_state.chat_history.append(('persona', f"{selected_persona}"))
st.session_state.chat_history.append(('user', f"You: {text_input}"))
st.session_state.chat_history.append(('model', f"{MODEL}"))
display_chat_history()
if st.button("Download Chat History"):
chat_history_text = "\n".join([text for _, text in st.session_state.chat_history])
st.download_button(
label="Download Chat History",
data=chat_history_text.encode(),
file_name="chat_history.txt",
mime="text/plain",
)