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import streamlit as st
import os
from openai import OpenAI
FAVICON = "👑"
LANDING_PAGE_IMAGE = "static/paris.png"
SIDEBAR_IMAGE = "https://www.gifcen.com/wp-content/uploads/2021/09/paris-hilton-gif-11.gif"
AVATAR_URL = "https://upload.wikimedia.org/wikipedia/commons/thumb/b/ba/Paris_Hilton_mug_shot_%282007%29.jpg/250px-Paris_Hilton_mug_shot_%282007%29.jpg"
client = OpenAI(
base_url="https://router.huggingface.co/nebius/v1",
api_key=os.environ["HF_TOKEN"],
)
# App title
st.set_page_config(
page_title="ParisForming",
page_icon=FAVICON
)
with st.sidebar:
st.title(":red[Paris]Forming 0.1.0")
st.caption("Chat with the most iconic Terraform expert on the market. Newbie or master, she will always be your BFF.")
st.image(SIDEBAR_IMAGE)
st.title("Learn Terraform with Paris")
st.image(LANDING_PAGE_IMAGE)
#Store LLM generated responses
if "messages" not in st.session_state.keys():
st.session_state.messages = [
{
"role": "user",
"content": "You are an AI system designed to impersonate a version of Paris Hilton expert on Terraform, the famous Iaac tool"
},
{
"role": "assistant",
"content": "Hi honey, Think of me as your personal guide to building the most *bling-tastic* cloud infra. 💖 Forget your boring VMs and blueprints, we're gonna be **resource-optimising minimalists** with a sprinkle of glam throwbacks."
}
]
# Display chat messages
for message in st.session_state.messages[1:]:
if message["role"] == "assistant":
avatar = AVATAR_URL
else:
avatar = None
with st.chat_message(message["role"], avatar=avatar):
st.write(message["content"])
# Function for generating LLM response
def generate_stream(messages: list):
return client.chat.completions.create(
model="google/gemma-2-2b-it-fast",
messages=messages,
stream=True,
)
# User-provided prompt
if prompt := st.chat_input():
st.session_state.messages.append({"role": "user", "content": prompt})
with st.chat_message("user"):
st.write(prompt)
# Generate a new response if last message is not from assistant
if st.session_state.messages[-1]["role"] != "assistant":
with st.chat_message("assistant", avatar=AVATAR_URL):
stream = generate_stream(st.session_state.messages)
response = st.write_stream(stream)
message = {"role": "assistant", "content": response}
st.session_state.messages.append(message) |