mixtral 22b

app.py

@@ -15,7 +15,7 @@ from langchain_text_splitters import RecursiveCharacterTextSplitter
 
 # Initialize the LLMs
 llm = Together(
-    model="mistralai/Mixtral-8x7B-Instruct-v0.1",
+    model="mistralai/Mixtral-8x22B-Instruct-v0.1",
     temperature=0.2,
     top_k=12,
     max_tokens=22048,
@@ -87,7 +87,7 @@ def app():
     )
 
     system_prompt = (
-        "You are an assistant for question-answering tasks. "
+        "You are helping a doctor. Be as detailed and thorough as possible "
         "Use the following pieces of retrieved context to answer "
         "the question. If you don't know the answer, say that you "
         "don't know."
@@ -117,7 +117,7 @@ def app():
     if "messages" not in st.session_state.keys():
         st.session_state.messages = [{"role": "assistant", "content": "How may I help you?"}]
 
-    st.header("Ask Away!")
+    st.header("Hello Doc!")
     for message in st.session_state.messages:
         with st.chat_message(message["role"]):
             st.write(message["content"])