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import streamlit as st |
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import os |
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st.set_page_config(page_title="π¦π¬ Llama 2 Chatbot") |
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st.subheader('Models and parameters') |
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selected_model = st.sidebar.selectbox('Choose a Llama2 model', ['Llama2-7B', 'Llama2-13B', 'Llama2-70B'], key='selected_model') |
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if selected_model == 'Llama2-7B': |
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llm = 'a16z-infra/llama7b-v2-chat:4f0a4744c7295c024a1de15e1a63c880d3da035fa1f49bfd344fe076074c8eea' |
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elif selected_model == 'Llama2-13B': |
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llm = 'a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5' |
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else: |
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llm = 'replicate/llama70b-v2-chat:e951f18578850b652510200860fc4ea62b3b16fac280f83ff32282f87bbd2e48' |
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temperature = st.sidebar.slider('temperature', min_value=0.01, max_value=5.0, value=0.1, step=0.01) |
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top_p = st.sidebar.slider('top_p', min_value=0.01, max_value=1.0, value=0.9, step=0.01) |
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max_length = st.sidebar.slider('max_length', min_value=64, max_value=4096, value=512, step=8) |
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st.markdown('π Learn how to build this app in this [blog](https://blog.streamlit.io/how-to-build-a-llama-2-chatbot/)!') |
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os.environ['REPLICATE_API_TOKEN'] = replicate_api |
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if "messages" not in st.session_state.keys(): |
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st.session_state.messages = [{"role": "assistant", "content": "How may I assist you today?"}] |
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for message in st.session_state.messages: |
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with st.chat_message(message["role"]): |
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st.write(message["content"]) |
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def clear_chat_history(): |
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st.session_state.messages = [{"role": "assistant", "content": "How may I assist you today?"}] |
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st.sidebar.button('Clear Chat History', on_click=clear_chat_history) |
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def generate_llama2_response(prompt_input): |
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string_dialogue = "You are a helpful assistant. You do not respond as 'User' or pretend to be 'User'. You only respond once as 'Assistant'." |
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for dict_message in st.session_state.messages: |
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if dict_message["role"] == "user": |
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string_dialogue += "User: " + dict_message["content"] + "\n\n" |
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else: |
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string_dialogue += "Assistant: " + dict_message["content"] + "\n\n" |
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return output |
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if prompt := st.chat_input(disabled=not replicate_api): |
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st.session_state.messages.append({"role": "user", "content": prompt}) |
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with st.chat_message("user"): |
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st.write(prompt) |
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if st.session_state.messages[-1]["role"] != "assistant": |
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with st.chat_message("assistant"): |
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with st.spinner("Thinking..."): |
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response = generate_llama2_response(prompt) |
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placeholder = st.empty() |
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full_response = '' |
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for item in response: |
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full_response += item |
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placeholder.markdown(full_response) |
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placeholder.markdown(full_response) |
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message = {"role": "assistant", "content": full_response} |
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st.session_state.messages.append(message) |