Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,4 +1,3 @@
-
 import os
 import streamlit as st
 from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate
@@ -26,7 +25,9 @@ if mentor_type:
     st.subheader(f"🧠 {mentor_type.upper()} Mentor Chat")
     experience = st.slider("Your experience (in years):", 0, 20, 1)
     user_input = st.text_input("Ask your question:")
-output_container = st.empty()
+
+
+    output_container = st.empty()
 
     if mentor_type == "python":
         model = HuggingFaceEndpoint(repo_id="meta-llama/Llama-3.1-8B-Instruct", provider="nebius", temperature=0.5, max_new_tokens=150, task="conversational")
@@ -40,7 +41,8 @@ output_container = st.empty()
         model = HuggingFaceEndpoint(repo_id="meta-llama/Llama-3.3-70B-Instruct", provider="nebius", temperature=0.5, max_new_tokens=150, task="conversational")
     elif mentor_type == "sql and powerbi":
         model = HuggingFaceEndpoint(repo_id="meta-llama/Meta-Llama-3-70B-Instruct", provider="hyperbolic", temperature=0.5, max_new_tokens=150, task="conversational")
-chat_model = ChatHuggingFace(
+
+    chat_model = ChatHuggingFace(
         llm=model,
         repo_id=model.repo_id,
         provider="nebius",
@@ -67,5 +69,3 @@ chat_model = ChatHuggingFace(
 
     if st.button("Clear Output"):
         output_container.empty()
-
-