Add Arctic

.vscode/settings.json

@@ -20,7 +20,8 @@
         "titleBar.activeBackground": "#51103e",
         "titleBar.activeForeground": "#e7e7e7",
         "titleBar.inactiveBackground": "#51103e99",
-        "titleBar.inactiveForeground": "#e7e7e799"
+        "titleBar.inactiveForeground": "#e7e7e799",
+        "tab.activeBorder": "#7c185f"
     },
     "peacock.color": "#51103e"
 }

chain.py

@@ -33,7 +33,7 @@ class ModelConfig(BaseModel):
 
     @validator("model_type", pre=True, always=True)
     def validate_model_type(cls, v):
-        if v not in ["gpt", "llama", "claude", "mixtral8x7b"]:
+        if v not in ["gpt", "llama", "claude", "mixtral8x7b", "arctic"]:
             raise ValueError(f"Unsupported model type: {v}")
         return v
 
@@ -58,6 +58,8 @@ def setup(self):
             self.setup_mixtral_8x7b()
         elif self.model_type == "llama":
             self.setup_llama()
+        elif self.model_type == "arctic":
+            self.setup_arctic()
 
     def setup_gpt(self):
         self.llm = ChatOpenAI(
@@ -111,6 +113,21 @@ def setup_llama(self):
             },
         )
 
+    def setup_arctic(self):
+        self.llm = ChatOpenAI(
+            model_name="snowflake/snowflake-arctic-instruct",
+            temperature=0.1,
+            api_key=self.secrets["OPENROUTER_API_KEY"],
+            max_tokens=700,
+            callbacks=[self.callback_handler],
+            streaming=True,
+            base_url="https://openrouter.ai/api/v1",
+            default_headers={
+                "HTTP-Referer": "https://snowchat.streamlit.app/",
+                "X-Title": "Snowchat",
+            },
+        )
+
     def get_chain(self, vectorstore):
         def _combine_documents(
             docs, document_prompt=DEFAULT_DOCUMENT_PROMPT, document_separator="\n\n"
@@ -156,6 +173,8 @@ def load_chain(model_name="GPT-3.5", callback_handler=None):
         model_type = "claude"
     elif "llama" in model_name.lower():
         model_type = "llama"
+    elif "arctic" in model_name.lower():
+        model_type = "arctic"
     else:
         raise ValueError(f"Unsupported model name: {model_name}")
 

main.py

@@ -34,7 +34,7 @@
 st.caption("Talk your way through data")
 model = st.radio(
     "",
-    options=["Claude-3 Haiku", "Mixtral 8x7B", "Llama 3-70B", "GPT-3.5"],
+    options=["Claude-3 Haiku", "Mixtral 8x7B", "Llama 3-70B", "GPT-3.5", "Snowflake Arctic"],
     index=0,
     horizontal=True,
 )

utils/snowchat_ui.py

@@ -4,17 +4,18 @@
 import streamlit as st
 from langchain.callbacks.base import BaseCallbackHandler
 
+
 image_url = f"{st.secrets['SUPABASE_STORAGE_URL']}/storage/v1/object/public/snowchat/"
-gemini_url = image_url + "google-gemini-icon.png?t=2024-03-01T07%3A25%3A59.637Z"
-mistral_url = image_url + "mistral-ai-icon-logo-B3319DCA6B-seeklogo.com.png"
+gemini_url = image_url + "google-gemini-icon.png?t=2024-05-07T21%3A17%3A52.235Z"
+mistral_url = image_url + "mistral-ai-icon-logo-B3319DCA6B-seeklogo.com.png?t=2024-05-07T21%3A18%3A22.737Z"
 openai_url = (
     image_url
-    + "png-transparent-openai-chatgpt-logo-thumbnail.png?t=2024-03-01T07%3A41%3A47.586Z"
+    + "png-transparent-openai-chatgpt-logo-thumbnail.png?t=2024-05-07T21%3A18%3A44.079Z"
 )
-user_url = image_url + "cat-with-sunglasses.png"
-claude_url = image_url + "Claude.png?t=2024-03-13T23%3A47%3A16.824Z"
-meta_url = image_url + "meta-logo.webp?t=2024-04-18T22%3A43%3A17.775Z"
-
+user_url = image_url + "cat-with-sunglasses.png?t=2024-05-07T21%3A17%3A21.951Z"
+claude_url = image_url + "Claude.png?t=2024-05-07T21%3A16%3A17.252Z"
+meta_url = image_url + "meta-logo.webp?t=2024-05-07T21%3A18%3A12.286Z"
+snow_url = image_url + "Snowflake_idCkdSg0B6_6.png?t=2024-05-07T21%3A24%3A02.597Z"
 
 def get_model_url(model_name):
     if "gpt" in model_name.lower():
@@ -25,6 +26,8 @@ def get_model_url(model_name):
         return meta_url
     elif "gemini" in model_name.lower():
         return gemini_url
+    elif "arctic" in model_name.lower():
+        return snow_url
     return mistral_url
 
 
@@ -121,7 +124,6 @@ def start_loading_message(self):
         self.placeholder.markdown(loading_message_content, unsafe_allow_html=True)
 
     def on_llm_new_token(self, token, run_id, parent_run_id=None, **kwargs):
-        print("on llm bnew token ", token)
         if not self.has_streaming_started:
             self.has_streaming_started = True