Using previous sqlite

mvp.py

@@ -15,7 +15,7 @@ embedding_model = SentenceTransformer(model_name)
 model_registry = get_registry().get("sentence-transformers")
 model = model_registry.create(name="BAAI/bge-small-en-v1.5")
 
-def create_interactions(db_path = "/data/rag.db"):
+def create_interactions(db_path = "rag.db"):
     conn = sqlite3.connect(db_path)
     cursor = conn.cursor()
     cursor.execute("""CREATE TABLE IF NOT EXISTS interactions (
@@ -28,7 +28,7 @@ def create_interactions(db_path = "/data/rag.db"):
         )""")    
     conn.close()
     
-create_interactions()
+# create_interactions()
 
 class Document(LanceModel):
     text: str = model.SourceField()
@@ -72,7 +72,7 @@ def read_chunks_from_db(db_path):
 reranker = ColbertReranker()
 
 # Function to log the interaction to the SQLite database
-def log_interaction(question, chunks, coherent_answer, feedback=None, additional_feedback=None, db_path='/data/rag.db'):
+def log_interaction(question, chunks, coherent_answer, feedback=None, additional_feedback=None, db_path='rag.db'):
     conn = sqlite3.connect(db_path)
     cursor = conn.cursor()
     cursor.execute('''