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import streamlit as st
import yaml
def sidebar(session_state, config):
COST_PER_1000_TOKENS_USD = config["COST_PER_1000_TOKENS_USD"]
CHAT_BOTS = config["CHAT_BOTS"]
def retrieval_settings():
st.markdown("# Web Retrieval")
session_state.rag_enabled = st.toggle("Activate Web Retrieval", value=True)
session_state.search_vendor = st.radio(
"Select Search Vendor",
["Bing", "Google"],
disabled=not session_state.rag_enabled,
)
session_state.n_crawl = st.slider(
label="Links to Crawl",
key=1,
min_value=1,
max_value=10,
value=4,
disabled=not session_state.rag_enabled,
)
session_state.top_k = st.slider(
label="Chunks to Retrieve via Reranker",
key=2,
min_value=1,
max_value=20,
value=5,
disabled=not session_state.rag_enabled,
)
session_state.chunk_size = st.slider(
label="Chunk Size",
value=512,
min_value=128,
max_value=1024,
step=8,
disabled=not session_state.rag_enabled,
)
st.markdown("---")
def model_analytics():
st.markdown("# Model Analytics")
st.write("Total tokens used :", session_state["tokens_used"])
st.write("Speed :", session_state["tps"], " tokens/sec")
st.write(
"Total cost incurred :",
round(
COST_PER_1000_TOKENS_USD * session_state["tokens_used"] / 1000,
3,
),
"USD",
)
st.markdown("---")
def model_settings():
st.markdown("# Model Settings")
session_state.chat_bot = st.sidebar.radio(
"Select one:", [key for key, _ in CHAT_BOTS.items()]
)
session_state.temp = st.slider(
label="Temperature", min_value=0.0, max_value=1.0, step=0.1, value=0.9
)
session_state.max_tokens = st.slider(
label="New tokens to generate",
min_value=64,
max_value=2048,
step=32,
value=512,
)
session_state.repetion_penalty = st.slider(
label="Repetion Penalty", min_value=0.0, max_value=1.0, step=0.1, value=1.0
)
with st.sidebar:
retrieval_settings()
model_analytics()
model_settings()
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