Create simple_app.py

simple_app.py

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+import streamlit as st
+import replicate
+import os
+from transformers import AutoTokenizer
+
+# Set assistant icon to Snowflake logo
+icons = {"assistant": "./Snowflake_Logomark_blue.svg", "user": "⛷️"}
+
+# App title
+st.set_page_config(page_title="Snowflake Arctic")
+
+# Replicate Credentials
+with st.sidebar:
+    st.title('Snowflake Arctic')
+    if 'REPLICATE_API_TOKEN' in st.secrets:
+        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.")
+
+    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."}]
+
+# 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"])
+
+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.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). App hosted on [Streamlit Community Cloud](https://streamlit.io/cloud). Model hosted by [Replicate](https://replicate.com/snowflake/snowflake-arctic-instruct).')
+st.sidebar.caption('Build your own app powered by Arctic and [enter to win](https://arctic-streamlit-hackathon.devpost.com/) $10k in prizes.')
+
+@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")
+
+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 generate_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)
+    
+    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",
+                           input={"prompt": prompt_str,
+                                  "prompt_template": r"{prompt}",
+                                  "temperature": temperature,
+                                  "top_p": top_p,
+                                  }):
+        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)