File size: 2,370 Bytes
5587b35 f1f86cb 5587b35 f1f86cb 5587b35 | 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 | import os
from groq import Groq
import streamlit as st
from dotenv import load_dotenv
load_dotenv()
client = Groq(
api_key=os.getenv("GROQ_API_KEY"),
)
models = client.models.list()
available_models = [x.to_dict()["id"] for x in models.data]
system_prompt = "You are a part of chatbot application, where multiple chatbots are available for user to select. You are a helpful assistant currently selected by user. Your major task is to help user with his queries"
if "models" not in st.session_state:
st.session_state.models = available_models
if "messages" not in st.session_state:
st.session_state.messages = [
{
"role": "system",
"content": system_prompt,
},
]
if "selected_model" not in st.session_state:
st.session_state.selected_model = ''
st.set_page_config(layout="wide")
selected_model = st.sidebar.selectbox(
label="Select Model",
options=st.session_state.models,
)
if selected_model != st.session_state.selected_model:
st.session_state.selected_model = selected_model
st.header("Hey! 👋 I am GROQ Bot")
if selected_model:
st.markdown(f"##### You are talking to **```{selected_model}```**")
if st.sidebar.button("Clear History", icon=':material/delete:', type="primary", help="Bot will forget what ever you talked" ):
st.session_state.messages = [
{
"role": "system",
"content": system_prompt,
},
]
for message in st.session_state.messages:
if message["role"] != "system":
with st.chat_message(message["role"]):
st.write(message["content"])
if prompt := st.chat_input("Ask anything to me"):
st.session_state.messages.append({"role": "user", "content": prompt})
with st.chat_message("user"):
st.markdown(prompt)
try:
response = client.chat.completions.create(
messages=st.session_state.messages,
model=selected_model,
)
response = response.choices[0].message.content
except :
response = "Model is having some issue it cann't answer now select any other model"
st.session_state.messages.append({"role": "assistant", "content": response})
with st.chat_message("assistant"):
st.markdown(response) |