Update app.py

app.py

@@ -50,45 +50,6 @@ api = HfApi()
 
 
 
-def split_python_code_into_chunks(texts, file_paths):
-    chunks = [] 
-    for text, file_path in zip(texts, file_paths):
-        """
-        Custom made python code splitter, algorithm iterates through child nodes of ast-tree(max child depth = 2)
-        aims to have full body of methods along signature (+ can handle decorators) in a chunk and adds method specific metadata
-        e.g visbility: public, _internal
-            type: "class", "methods", "command"(CLI commands)
-            source: 
-        
-        
-        with the intend to use a filter when retrieving potentaion useful snippets. 
-        
-
-        
-        """
-        document_chunks = chunk_python_code_with_metadata(text, file_path)
-        chunks.extend(document_chunks)   
-    return chunks
-
-
-# Split text into chunks
-def split_into_chunks(texts, references, chunk_size, chunk_overlap):
-    text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap)
-    chunks = []
-
-    for text, reference in zip(texts, references):
-        chunks.extend([
-            Document(
-                page_content=chunk,
-                metadata={
-                    "source": reference,
-                    "usage": "doc"
-                }
-            ) 
-            for chunk in text_splitter.split_text(text)
-        ])
-    return chunks
-
 
 # Setup Vectorstore
 def embed_documents_into_vectorstore(chunks, model_name, persist_directory):