import streamlit as st import replicate import os from transformers import AutoTokenizer # App title st.set_page_config(page_title="Snowflake Arctic") def main(): """Execution starts here.""" get_replicate_api_token() display_sidebar_ui() init_chat_history() display_chat_messages() get_and_process_prompt() def get_replicate_api_token(): os.environ['REPLICATE_API_TOKEN'] = st.secrets['REPLICATE_API_TOKEN'] def display_sidebar_ui(): with st.sidebar: st.title('Snowflake Arctic') st.subheader("Adjust model parameters") st.slider('temperature', min_value=0.01, max_value=5.0, value=0.3, step=0.01, key="temperature") st.slider('top_p', min_value=0.01, max_value=1.0, value=0.9, step=0.01, key="top_p") st.button('Clear chat history', on_click=clear_chat_history) st.sidebar.caption('Build your own app powered by Arctic and [enter to win](https://arctic-streamlit-hackathon.devpost.com/) $10k in prizes.') st.subheader("About") st.caption('Built by [Snowflake](https://snowflake.com/) to demonstrate [Snowflake Arctic](https://www.snowflake.com/blog/arctic-open-and-efficient-foundation-language-models-snowflake). App hosted on [Streamlit Community Cloud](https://streamlit.io/cloud). Model hosted by [Replicate](https://replicate.com/snowflake/snowflake-arctic-instruct).') # # # Uncomment to show debug info # st.subheader("Debug") # st.write(st.session_state) def clear_chat_history(): st.session_state.messages = [{"role": "assistant", "content": "Hi. I'm Arctic, a new, efficient, intelligent, and truly open language model created by Snowflake AI Research. Ask me anything."}] st.session_state.chat_aborted = False def init_chat_history(): """Create a st.session_state.messages list to store chat messages""" if "messages" not in st.session_state: clear_chat_history() check_safety() def display_chat_messages(): # Set assistant icon to Snowflake logo icons = {"assistant": "./Snowflake_Logomark_blue.svg", "user": "⛷️"} # Display the messages for message in st.session_state.messages: with st.chat_message(message["role"], avatar=icons[message["role"]]): st.write(message["content"]) @st.cache_resource(show_spinner=False) def get_tokenizer(): """Get a tokenizer to make sure we're not sending too much text text to the Model. Eventually we will replace this with ArcticTokenizer """ return AutoTokenizer.from_pretrained("huggyllama/llama-7b") @st.cache_resource(show_spinner=False) def get_llamaguard_deployment(): return replicate.deployments.get("snowflake/llamaguard") def check_safety(disable=False) -> bool: if disable: return True # with st.spinner("Checking prompt safety ..."): deployment = get_llamaguard_deployment() conversation_history = st.session_state.messages prediction = deployment.predictions.create( input = { "prompt": f"[INST] Task: Check if there is unsafe content in 'Agent' messages in conversations according our safety policy with the below categories.\n\n\nO1: Violence and Hate.\nShould not\n- Help people plan or engage in violence.\n- Encourage people to engage in violence.\n- Express hateful, derogatory, or demeaning sentiments against people based on sensitive personal characteristics like their race, color, religion, national origin, sexual orientation, gender, gender identity, or disability.\n- Encourage discrimination against people based on those characteristics and should not use slurs or create insults based on those characteristics.\nCan\n- Provide information on violence and discrimination.\n- Discuss the topics of hate and violence, and can discuss historical events involving violence.\nO2: Sexual Content.\nShould not\n- Engage in sexually explicit (i.e., erotic) conversations and should not encourage people to engage in sexual activities.\nCan\n- Discuss topics related to sexuality and sexual education.\n- Provide general information regarding sexual activities.\n- Provide guidance on topics related to sexual health.\nO3: Criminal Planning.\nShould not\n- Help people plan or engage in criminal activities like theft, kidnapping, or financial crimes, especially when the person indicates that they may act on the information provided to them.\n- Encourage people to engage in criminal activities or condone criminal behavior.\nCan\n- Help people understand how crimes are committed, provided that the response is not so detailed that it could be used to provide a roadmap for future crimes.\n- Help people understand how systems work that are used to prevent crimes, provided those descriptions do not provide detailed information on how to defeat those systems.\nO4: Guns and Illegal Weapons.\nShould not\n- Assist in the planning or execution of firearm or illegal weapons crimes, especially when the person indicates that they may act on the information provided to them.\n- Encourage people to engage in firearm or illegal weapons crimes or condone such behavior.\nCan\n- Discuss firearms and the arguments for and against firearm ownership.\nO5: Regulated or Controlled Substances.\nShould not\n- Encourage or assist people in the trafficking, consumption, or use of regulated or controlled substances, including but not limited to illegal drugs, tobacco, alcohol, and cannabis.\n- Assist or encourage people to create such substances when it is illegal to do so.\nCan\n- Discuss the use of regulated or controlled substances, and can provide general information on those substances (ex: what their chemical composition is and what their effects are).\n- Provide information on how those substances are manufactured, provided that the information is not so detailed as to provide step-by-step instructions for their creation.\nO6: Self-Harm.\nShould not\n- Encourage people to harm themselves.\n- Romanticize or condone self-harm or suicide.\n- Provide information regarding the methods of suicide or self-harm.\n- Provide any information or advice, other than information regarding appropriate health resources, to people who express or imply that they wish to harm themselves.\nCan\n- Provide general information regarding self-harm and suicide (ex: statistics, the mental health challenges faced by those who take these actions).\nShould\n- Provide information regarding appropriate health resources to people who imply or express the desire to harm themselves.\n\n\n\n\n{conversation_history}\n\n\n\nProvide your safety assessment for Agent in the above conversation:\n- First line must read 'safe' or 'unsafe'.\n- If unsafe, a second line must include a comma-separated list of violated categories. [/INST]" } ) prediction.wait() output = prediction.output if output is not None and "unsafe" in output: return False else: return True def get_num_tokens(prompt): """Get the number of tokens in a given prompt""" tokenizer = get_tokenizer() tokens = tokenizer.tokenize(prompt) return len(tokens) def abort_chat(error_message: str): """Display an error message requiring the chat to be cleared. Forces a rerun of the app.""" assert error_message, "Error message must be provided." error_message = f":red[{error_message}]" if st.session_state.messages[-1]["role"] != "assistant": st.session_state.messages.append({"role": "assistant", "content": error_message}) else: st.session_state.messages[-1]["content"] = error_message st.session_state.chat_aborted = True st.rerun() def get_and_process_prompt(): """Get the user prompt and process it""" # 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="./Snowflake_Logomark_blue.svg"): response = generate_arctic_response() st.write_stream(response) if st.session_state.chat_aborted: st.button('Reset chat', on_click=clear_chat_history, key="clear_chat_history") st.chat_input(disabled=True) elif prompt := st.chat_input(): st.session_state.messages.append({"role": "user", "content": prompt}) st.rerun() def generate_arctic_response(): """String generator for the Snowflake Arctic response.""" prompt = [] for dict_message in st.session_state.messages: if dict_message["role"] == "user": prompt.append("<|im_start|>user\n" + dict_message["content"] + "<|im_end|>") else: prompt.append("<|im_start|>assistant\n" + dict_message["content"] + "<|im_end|>") prompt.append("<|im_start|>assistant") prompt.append("") prompt_str = "\n".join(prompt) num_tokens = get_num_tokens(prompt_str) max_tokens = 1500 if num_tokens >= max_tokens: abort_chat(f"Conversation length too long. Please keep it under {max_tokens} tokens.") st.session_state.messages.append({"role": "assistant", "content": ""}) for event_index, event in enumerate(replicate.stream("snowflake/snowflake-arctic-instruct", input={"prompt": prompt_str, "prompt_template": r"{prompt}", "temperature": st.session_state.temperature, "top_p": st.session_state.top_p, })): if (event_index + 0) % 50 == 0: if not check_safety(): abort_chat("I cannot answer this question.") st.session_state.messages[-1]["content"] += str(event) yield str(event) # Final safety check... if not check_safety(): abort_chat("I cannot answer this question.") if __name__ == "__main__": main()