Update app.py

app.py

@@ -36,7 +36,7 @@ client = None
 def load_llm():
     # Instantiate the SambaNova model
     llm = SambaNovaCloud(
-        model="Meta-Llama-3.1-405B-Instruct",  # Use the correct model name
+        model="Meta-Llama-3.1-405B-Instruct",
         context_window=100000,
         max_tokens=1024,
         temperature=0.7,
@@ -45,17 +45,6 @@ def load_llm():
     )
     return llm
 
-def reset_chat():
-    st.session_state.messages = []
-    st.session_state.context = None
-    gc.collect()
-
-def process_with_gitingets(github_url):
-    # or from URL
-    summary, tree, content = ingest(github_url)
-    return summary, tree, content
-
-
 with st.sidebar:
     st.header(f"Add your GitHub repository!")
     
@@ -70,6 +59,7 @@ with st.sidebar:
                 file_key = f"{session_id}-{repo_name}"
                 
                 if file_key not in st.session_state.get('file_cache', {}):
+
                     if os.path.exists(temp_dir):
                         summary, tree, content = process_with_gitingets(github_url)
 
@@ -91,7 +81,7 @@ with st.sidebar:
                     docs = loader.load_data()
 
                     # setup llm & embedding model
-                    llm = load_llm()
+                    llm=load_llm()
 
                     # Mixedbread AI embedding setup
                     embed_model = MixedbreadAIEmbedding(
@@ -142,7 +132,6 @@ with st.sidebar:
             st.error(f"An error occurred: {e}")
             st.stop()     
 
-
 col1, col2 = st.columns([6, 1])
 
 with col1:
@@ -193,7 +182,7 @@ if prompt := st.chat_input("What's up?"):
             # Handle streaming response
             if hasattr(response, 'response_gen'):
                 for chunk in response.response_gen:
-                    if isinstance(chunk, str):  # Only process string chunks
+                    if isinstance(chunk, str): 
                         full_response += chunk
                         message_placeholder.markdown(full_response + "▌")
             else:
@@ -208,4 +197,4 @@ if prompt := st.chat_input("What's up?"):
             message_placeholder.markdown(full_response)
 
     # Add assistant response to chat history
-    st.session_state.messages.append({"role": "assistant", "content": full_response})
+    st.session_state.messages.append({"role": "assistant", "content": full_response})