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import streamlit as st |
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from pprint import pprint |
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from agents import instructAgent, salesAgent, chinookAgent, chatAgent |
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st.set_page_config(page_title="Global", |
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page_icon=":cart:", |
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layout="wide") |
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st.header("📦 Global 🛍️") |
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col1, col2 = st.columns([1,1]) |
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with col1: |
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option_llm = st.selectbox( |
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"Model", |
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('text-davinci-003', |
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'text-babbage-001', |
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'text-curie-001', |
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'text-ada-001', |
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'gpt-4', |
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'gpt-3.5-turbo', |
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'google/flan-t5-xl', |
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'databricks/dolly-v2-3b', |
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'bigscience/bloom-1b7') |
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) |
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with col2: |
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option_mode = st.selectbox( |
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"LLM mode", |
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("Instruct (all)", |
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"Chat (high temperature)", |
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"Wolfram-Alpha", |
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"Internal-Sales", |
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"Internal-Merchant" |
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) |
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) |
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def get_question(): |
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input_text = st.text_area(label="Your question ...", |
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placeholder="Ask me anything ...", |
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key="question_text", label_visibility="collapsed") |
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return input_text |
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question_text = get_question() |
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if question_text and len(question_text) > 1: |
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output="" |
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if option_mode == "Internal-Sales": |
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output = salesAgent(question_text) |
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elif option_mode == "Internal-Merchant": |
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output = chinookAgent(question_text, option_llm) |
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elif option_mode.startswith("Chat"): |
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response = chatAgent(question_text) |
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if response and response.content: |
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output = response.content |
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else: |
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output = response |
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else: |
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output = instructAgent(question_text, option_llm) |
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height = min(2*len(output), 280) |
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st.text_area(label="In response ...", |
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value=output, height=height) |
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st.markdown( |
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""" |
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<style> |
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textarea[aria-label^="ex"] { |
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font-size: 0.8em !important; |
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font-family: Arial, sans-serif !important; |
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color: gray !important; |
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} |
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</style> |
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""", |
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unsafe_allow_html=True, |
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) |
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st.markdown("#### 3 types of reasoning:") |
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col1, col2, col3 = st.columns([1,1,1]) |
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with col1: |
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st.markdown("__Common sense reasoning__") |
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st.text_area(label="ex1", label_visibility="collapsed", height=120, |
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value="🔹 Why is the sky blue?\n" + |
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"🔹 How to avoid touching a hot stove?\n" + |
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"🔹 Please give tips to win a 3200m track race?\n" + |
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"🔹 Please advise on how best to prepare for retirement?" |
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) |
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with col2: |
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st.markdown("__Local ('secure') reasoning__") |
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st.text_area(label="ex2", label_visibility="collapsed", height=120, |
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value="🔹 For my company, what is the total sales " + |
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"broken down by month?\n" + |
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"🔹 How many total artists are there in each "+ |
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"genres in our digital media database?") |
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with col3: |
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st.markdown("__Enhanced reasoning__ [🎵](https://www.youtube.com/watch?v=hTTUaImgCyU&t=62s)") |
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st.text_area(label="ex3", label_visibility="collapsed", height=120, |
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value="🔹 Who is the president of South Korea? " + |
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"What is his favorite song? How old is he? " + |
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"What is the smallest prime greater than his age?\n" + |
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"🔹 What is the derivative of f(x)=3*log(x)*sin(x)?") |
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st.image(image="images/plugins.png", width=700, caption="salesforce.com") |
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st.image(image="images/chinook.png", width=420, caption="Digital Media Schema") |
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