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Update app.py
Browse files
app.py
CHANGED
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@@ -12,6 +12,9 @@ from transformers import AutoTokenizer
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# print("Number of tokens:", num_tokens)
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# App title
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st.set_page_config(page_title="Snowflake Arctic")
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@@ -40,16 +43,16 @@ if "messages" not in st.session_state.keys():
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# Display or clear chat messages
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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": "Hi. I'm Arctic, a new, efficient, intelligent, and truly open language model created by Snowflake AI Research. Ask me anything."}]
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st.sidebar.button('Clear chat history', on_click=clear_chat_history)
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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).')
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@st.cache_resource
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def get_tokenizer():
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"""Get a tokenizer to make sure we're not sending too much text
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text to the Model. Eventually we will replace this with ArcticTokenizer
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@@ -91,12 +94,12 @@ def generate_arctic_response():
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# User-provided prompt
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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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# Generate a new response if last message is not from assistant
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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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response = generate_arctic_response()
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full_response = st.write_stream(response)
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message = {"role": "assistant", "content": full_response}
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# print("Number of tokens:", num_tokens)
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# Set assistant icon to Snowflake logo
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icons = {"assistant": "./Snowflake_Logomark_blue.svg", "user": "⛷️"}
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# App title
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st.set_page_config(page_title="Snowflake Arctic")
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# Display or clear chat messages
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for message in st.session_state.messages:
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with st.chat_message(message["role"], avatar=icons[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": "Hi. I'm Arctic, a new, efficient, intelligent, and truly open language model created by Snowflake AI Research. Ask me anything."}]
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st.sidebar.button('Clear chat history', on_click=clear_chat_history)
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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).')
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@st.cache_resource(show_spinner=False)
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def get_tokenizer():
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"""Get a tokenizer to make sure we're not sending too much text
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text to the Model. Eventually we will replace this with ArcticTokenizer
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# User-provided prompt
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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", avatar="⛷️"):
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st.write(prompt)
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# Generate a new response if last message is not from assistant
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if st.session_state.messages[-1]["role"] != "assistant":
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with st.chat_message("assistant", avatar="./Snowflake_Logomark_blue.svg"):
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response = generate_arctic_response()
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full_response = st.write_stream(response)
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message = {"role": "assistant", "content": full_response}
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