Spaces:
Running
Running
File size: 6,013 Bytes
5759094 9270b84 5759094 |
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 |
import streamlit as st
from g4f.client import Client
import sqlite3
import google.generativeai as genai
# import pyttsx3
# import pyperclip
def local_css(file_name):
with open(file_name) as f:
st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
local_css("style.css")
# Create a connection to the database
conn = sqlite3.connect('chat_history.db')
c = conn.cursor()
# Create table if not exists
try:
c.execute('''CREATE TABLE IF NOT EXISTS chat_history
(conversation_id INTEGER, role TEXT, content TEXT)''')
conn.commit()
except Exception as e:
st.error(f"An error occurred: {e}")
# Streamlit app
def main():
try:
if "chat_history" not in st.session_state:
st.session_state.chat_history = []
if "conversation_id" not in st.session_state:
st.session_state.conversation_id = 1
models = {
"🚀 Airoboros 70B": "airoboros-70b",
"🔮 Gemini Pro": "gemini-pro",
"⚡ GPT-4 Turbo": "gpt-4-turbo"
}
columns = st.columns(3) # Split the layout into three columns
with columns[0]:
st.header("DarkGPT")
with columns[2]:
selected_model_display_name = st.selectbox("Select Model", list(models.keys()), index=0)
with columns[1]:
selected_model = models[selected_model_display_name]
# Sidebar (left side) - New chat button
if st.sidebar.button("✨ New Chat", key="new_chat_button"):
st.session_state.chat_history.clear()
st.session_state.conversation_id += 1
# Sidebar (left side) - Display saved chat
st.sidebar.write("Chat History")
c.execute("SELECT DISTINCT conversation_id FROM chat_history")
conversations = c.fetchall()
for conv_id in reversed(conversations):
c.execute("SELECT content FROM chat_history WHERE conversation_id=? AND role='bot' LIMIT 1",
(conv_id[0],))
first_bot_response = c.fetchone()
if first_bot_response:
if st.sidebar.button(" ".join(first_bot_response[0].split()[0:5])):
display_conversation(conv_id[0])
# Sidebar (left side) - Clear Chat History button
if st.sidebar.button("Clear Chat History ✖️"):
st.session_state.chat_history.clear()
c.execute("DELETE FROM chat_history")
conn.commit()
# Main content area (center)
st.markdown("---")
user_input = st.chat_input("Ask Anything ...")
if st.button("Ask"):
if selected_model == "gemini-pro":
try:
GOOGLE_API_KEY = "AIzaSyC8_gwU5LSVQJk3iIXyj5xJ94ArNK11dXU"
genai.configure(api_key=GOOGLE_API_KEY)
model = genai.GenerativeModel('gemini-pro')
prompt = user_input
response = model.generate_content(prompt)
bot_response = response.candidates[0].content.parts[0].text
st.session_state.chat_history.append({"role": "user", "content": user_input})
st.session_state.chat_history.append({"role": "bot", "content": bot_response})
# Store chat in the database
for chat in st.session_state.chat_history:
c.execute("INSERT INTO chat_history VALUES (?, ?, ?)",
(st.session_state.conversation_id, chat["role"], chat["content"]))
conn.commit()
for index, chat in enumerate(st.session_state.chat_history):
with st.chat_message(chat["role"]):
if chat["role"] == "user":
st.markdown(chat["content"])
elif chat["role"] == "bot":
st.markdown(chat["content"])
except Exception as e:
st.error(f"An error occurred: {e}")
elif selected_model == "gpt-4-turbo":
st.write("Please use the default model for text generation.")
else:
try:
client = Client()
response = client.chat.completions.create(
model=models[selected_model_display_name],
messages=[{"role": "user", "content": user_input}],
)
bot_response = response.choices[0].message.content
st.session_state.chat_history.append({"role": "user", "content": user_input})
st.session_state.chat_history.append({"role": "bot", "content": bot_response})
# Store chat in the database
for chat in st.session_state.chat_history:
c.execute("INSERT INTO chat_history VALUES (?, ?, ?)",
(st.session_state.conversation_id, chat["role"], chat["content"]))
conn.commit()
# Display chat history
for index, chat in enumerate(st.session_state.chat_history):
with st.chat_message(chat["role"]):
if chat["role"] == "user":
st.markdown(chat["content"])
elif chat["role"] == "bot":
st.markdown(chat["content"])
except Exception as e:
st.error(f"An error occurred: {e}")
except Exception as e:
st.error(f"An error occurred: {e}")
def display_conversation(conversation_id):
c.execute("SELECT * FROM chat_history WHERE conversation_id=?", (conversation_id,))
chats = c.fetchall()
st.markdown(f"### Conversation")
for chat in chats:
st.markdown(f"{chat[1]}")
st.markdown(f"{chat[2]}")
if __name__ == "__main__":
main()
|