fix path

app.py

@@ -79,7 +79,6 @@ def pdf_to_text(files_src, start_page=1, end_page=None):
 
 def text_to_chunks(texts, word_length=150, start_page=1):
     text_toks = [t.split(' ') for t in texts]
-    page_nums = []
     chunks = []
 
     for idx, words in enumerate(text_toks):
@@ -103,8 +102,6 @@ def embedding(model, files_src, batch=1000):
     if os.path.isfile(embeddings_file):
         embeddings = np.load(embeddings_file)
         return embeddings, chunks
-    # texts = pdf_to_text(files_src)
-    # chunks = text_to_chunks(texts)
     data = chunks
     embeddings = []
     for i in range(0, len(data), batch):
@@ -133,7 +130,6 @@ def predict(
         files=None
 ):
     old_inputs = None
-    display_reference = []
     if files:
         old_inputs = inputs
         emb_model = hub.load('https://tfhub.dev/google/universal-sentence-encoder/4')
@@ -169,7 +165,6 @@ def predict(
         temperature=temperature,
     )
     message = completions.choices[0].text
-    # print(message)
     if old_inputs is not None:
         history[-1] = old_inputs
     chatbot[-1] = (chatbot[-1][0], message + display_reference)
@@ -177,7 +172,7 @@ def predict(
 
 
 # Create theme
-with open("assets/custom.css", "r", encoding="utf-8") as f:
+with open("custom.css", "r", encoding="utf-8") as f:
     customCSS = f.read()
 beautiful_theme = gr.themes.Soft(
     primary_hue=gr.themes.Color(