Update app.py

app.py

@@ -100,7 +100,7 @@ def select_llm() -> Union[ChatOpenAI, LlamaCpp]:
     Read user selection of parameters in Streamlit sidebar.
     """
     model_name = st.sidebar.radio("Choose LLM:",
-                                  ("Wizard-Vicuna-7B-Uncensored.ggmlv3.q4_K_M",#"llama-2-7b-chat.ggmlv3.q2_K",
+                                  ("llama-2-7b-chat.ggmlv3.q2_K",#"Wizard-Vicuna-7B-Uncensored.ggmlv3.q4_K_M"
                                    "gpt-3.5-turbo-0613",
                                    "gpt-3.5-turbo-16k-0613",
                                    "gpt-4"))
@@ -228,8 +228,8 @@ def main() -> None:
 
     model_name, temperature = select_llm()
     #llm = load_llm(model_name, temperature)
-    #url = "https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/blob/main/llama-2-7b-chat.ggmlv3.q2_K.bin"
-    url = "https://huggingface.co/TheBloke/Wizard-Vicuna-7B-Uncensored-GGML/raw/main/Wizard-Vicuna-7B-Uncensored.ggmlv3.q4_K_M.bin"
+    url = "https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML/blob/main/llama-2-7b-chat.ggmlv3.q2_K.bin"
+    #url = "https://huggingface.co/TheBloke/Wizard-Vicuna-7B-Uncensored-GGML/raw/main/Wizard-Vicuna-7B-Uncensored.ggmlv3.q4_K_M.bin"
     try:
         model_loc, file_size = dl_hf_model(url)
     except Exception as exc_: