Update app.py

app.py

@@ -16,17 +16,12 @@ if not (llama_cloud_key and groq_key and mxbai_key):
     )
 
 # models name
-llm_model_name = "gemma2-9b-it"
+llm_model_name = "llama-3.1-70b-versatile"
 embed_model_name = "mixedbread-ai/mxbai-embed-large-v1"
 
 # Initialize the parser
 parser = LlamaParse(api_key=llama_cloud_key, result_type="markdown")
 
-
-
-
-
-
 # Define file extractor with various common extensions
 file_extractor = {
     ".pdf": parser,
@@ -48,6 +43,7 @@ file_extractor = {
 embed_model = MixedbreadAIEmbedding(api_key=mxbai_key, model_name=embed_model_name)
 
 # Initialize the LLM
+
 llm = Groq(model="llama-3.1-70b-versatile", api_key=groq_key)
 
 
@@ -56,7 +52,7 @@ def load_files(file_path: str):
     global vector_index
     if not file_path:
         return "No file path provided. Please upload a file."
-   
+    
     valid_extensions = ', '.join(file_extractor.keys())
     if not any(file_path.endswith(ext) for ext in file_extractor):
         return f"The parser can only parse the following file types: {valid_extensions}"