Add safety check

app.py

@@ -3,54 +3,58 @@ import replicate
 import os
 from transformers import AutoTokenizer
 
-# # Assuming you have a specific tokenizers for Llama; if not, use an appropriate one like this
-# tokenizer = AutoTokenizer.from_pretrained("allenai/llama")
+# App title
+st.set_page_config(page_title="Snowflake Arctic")
 
-# text = "Example text to tokenize."
-# tokens = tokenizer.tokenize(text)
-# num_tokens = len(tokens)
+def main():
+    """Execution starts here."""
+    get_replicate_api_token()
+    display_sidebar_ui()
+    init_chat_history()
+    display_chat_messages()
+    get_and_process_prompt()
 
-# print("Number of tokens:", num_tokens)
+def get_replicate_api_token():
+    os.environ['REPLICATE_API_TOKEN'] = st.secrets['REPLICATE_API_TOKEN']
 
-# Set assistant icon to Snowflake logo
-icons = {"assistant": "./Snowflake_Logomark_blue.svg", "user": "⛷️"}
+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")
 
-# App title
-st.set_page_config(page_title="Snowflake Arctic")
+        st.button('Clear chat history', on_click=clear_chat_history)
 
-# Replicate Credentials
-with st.sidebar:
-    st.title('Snowflake Arctic')
-    if 'REPLICATE_API_TOKEN' in st.secrets:
-        #st.success('API token loaded!', icon='✅')
-        replicate_api = st.secrets['REPLICATE_API_TOKEN']
-    else:
-        replicate_api = st.text_input('Enter Replicate API token:', type='password')
-        if not (replicate_api.startswith('r8_') and len(replicate_api)==40):
-            st.warning('Please enter your Replicate API token.', icon='⚠️')
-            st.markdown("**Don't have an API token?** Head over to [Replicate](https://replicate.com) to sign up for one.")
-        #else:
-        #    st.success('API token loaded!', icon='✅')
-
-    os.environ['REPLICATE_API_TOKEN'] = replicate_api
-    st.subheader("Adjust model parameters")
-    temperature = st.sidebar.slider('temperature', min_value=0.01, max_value=5.0, value=0.3, step=0.01)
-    top_p = st.sidebar.slider('top_p', min_value=0.01, max_value=1.0, value=0.9, step=0.01)
-
-# Store LLM-generated responses
-if "messages" not in st.session_state.keys():
-    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.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).')
 
-# Display or clear chat messages
-for message in st.session_state.messages:
-    with st.chat_message(message["role"], avatar=icons[message["role"]]):
-        st.write(message["content"])
+        # # # 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.sidebar.button('Clear chat history', on_click=clear_chat_history)
+    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": "⛷️"}
 
-st.sidebar.caption('Built by [Snowflake](https://snowflake.com/) to demonstrate [Snowflake Arctic](https://www.snowflake.com/blog/arctic-open-and-efficient-foundation-language-models-snowflake).')
+    # 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():
@@ -59,14 +63,63 @@ def get_tokenizer():
     """
     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<BEGIN UNSAFE CONTENT CATEGORIES>\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<END UNSAFE CONTENT CATEGORIES>\n\n<BEGIN CONVERSATION>\n\n{conversation_history}\n\n<END CONVERSATION>\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)
 
-# Function for generating Snowflake Arctic response
+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":
@@ -77,30 +130,29 @@ def generate_arctic_response():
     prompt.append("<|im_start|>assistant")
     prompt.append("")
     prompt_str = "\n".join(prompt)
-    
-    if get_num_tokens(prompt_str) >= 3072:
-        st.error("Conversation length too long. Please keep it under 3072 tokens.")
-        st.button('Clear chat history', on_click=clear_chat_history, key="clear_chat_history")
-        st.stop()
 
-    for event in replicate.stream("snowflake/snowflake-arctic-instruct",
+    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": temperature,
-                                  "top_p": top_p,
-                                  }):
+                                  "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)
 
-# User-provided prompt
-if prompt := st.chat_input(disabled=not replicate_api):
-    st.session_state.messages.append({"role": "user", "content": prompt})
-    with st.chat_message("user", avatar="⛷️"):
-        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="./Snowflake_Logomark_blue.svg"):
-        response = generate_arctic_response()
-        full_response = st.write_stream(response)
-    message = {"role": "assistant", "content": full_response}
-    st.session_state.messages.append(message)
+    # Final safety check...
+    if not check_safety():
+        abort_chat("I cannot answer this question.")
+
+if __name__ == "__main__":
+    main()