ad llama 3

Author: kaarthik108

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", "gemini", "claude", "mixtral8x7b"]:
+        if v not in ["gpt", "llama", "claude", "mixtral8x7b"]:
             raise ValueError(f"Unsupported model type: {v}")
         return v
 
@@ -56,9 +56,8 @@ def setup(self):
             self.setup_claude()
         elif self.model_type == "mixtral8x7b":
             self.setup_mixtral_8x7b()
-        elif self.model_type == "gemini":
-            self.setup_gemini()
-        
+        elif self.model_type == "llama":
+            self.setup_llama()
 
     def setup_gpt(self):
         self.llm = ChatOpenAI(
@@ -97,9 +96,9 @@ def setup_claude(self):
             },
         )
 
-    def setup_gemini(self):
+    def setup_llama(self):
         self.llm = ChatOpenAI(
-            model_name="google/gemini-pro-1.5",
+            model_name="meta-llama/llama-3-70b-instruct",
             temperature=0.1,
             api_key=self.secrets["OPENROUTER_API_KEY"],
             max_tokens=700,
@@ -155,8 +154,8 @@ def load_chain(model_name="GPT-3.5", callback_handler=None):
         model_type = "mixtral8x7b"
     elif "claude" in model_name.lower():
         model_type = "claude"
-    elif "gemini" in model_name.lower():
-        model_type = "gemini"
+    elif "llama" in model_name.lower():
+        model_type = "llama"
     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", "Gemini 1.5 Pro", "GPT-3.5"],
+    options=["Claude-3 Haiku", "Mixtral 8x7B", "Llama 3-70B", "GPT-3.5"],
     index=0,
     horizontal=True,
 )
@@ -52,9 +52,9 @@
     st.session_state["toast_shown"] = True
 
 # Show a warning if the model is rate-limited
-if st.session_state['rate-limit']:
+if st.session_state["rate-limit"]:
     st.toast("Probably rate limited.. Go easy folks", icon="⚠️")
-    st.session_state['rate-limit'] = False
+    st.session_state["rate-limit"] = False
 
 if st.session_state["model"] == "Mixtral 8x7B":
     st.warning("This is highly rate-limited. Please use it sparingly", icon="⚠️")
@@ -181,12 +181,15 @@ def execute_sql(query, conn, retries=2):
         )
         append_message(result.content)
 
-if st.session_state["model"] == "Mixtral 8x7B" and st.session_state['messages'][-1]['content'] == "":
-    st.session_state['rate-limit'] = True
-
-        # if get_sql(result):
-        #     conn = SnowflakeConnection().get_session()
-        #     df = execute_sql(get_sql(result), conn)
-        #     if df is not None:
-        #         callback_handler.display_dataframe(df)
-        #         append_message(df, "data", True)
+if (
+    st.session_state["model"] == "Mixtral 8x7B"
+    and st.session_state["messages"][-1]["content"] == ""
+):
+    st.session_state["rate-limit"] = True
+
+    # if get_sql(result):
+    #     conn = SnowflakeConnection().get_session()
+    #     df = execute_sql(get_sql(result), conn)
+    #     if df is not None:
+    #         callback_handler.display_dataframe(df)
+    #         append_message(df, "data", True)

utils/snowchat_ui.py

@@ -13,14 +13,16 @@
 )
 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"
+
 
 def get_model_url(model_name):
     if "gpt" in model_name.lower():
         return openai_url
     elif "claude" in model_name.lower():
         return claude_url
-    elif "mixtral" in model_name.lower():
-        return mistral_url
+    elif "llama" in model_name.lower():
+        return meta_url
     elif "gemini" in model_name.lower():
         return gemini_url
     return mistral_url
@@ -119,7 +121,7 @@ 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)
+        print("on llm bnew token ", token)
         if not self.has_streaming_started:
             self.has_streaming_started = True