Modify app.py without typehints to avoid errors

app.py

@@ -1,5 +1,4 @@
 import gradio as gr
-import pandas as pd
 import numpy as np
 import torch
 from transformers import (
@@ -25,19 +24,24 @@ sentiment_model.eval()
 
 
 # ==============================
-# CORE FUNCTION
+# CORE FUNCTION (NO PANDAS)
+# Input: list of lists
+# Output: list of lists
 # ==============================
 
 def nlp_encode_sentence(values):
 
-    # values will be list of lists
-    df = pd.DataFrame(values, columns=["value"])
-
     feature_rows = []
 
-    for sentence in df["value"]:
+    for row in values:
+        sentence = row[0]   # first column
 
-        inputs = tokenizer(sentence, return_tensors="pt", truncation=True, padding=True)
+        inputs = tokenizer(
+            sentence,
+            return_tensors="pt",
+            truncation=True,
+            padding=True
+        )
 
         with torch.no_grad():
             outputs = bert_model(**inputs)
@@ -76,7 +80,7 @@ def nlp_encode_sentence(values):
 
 
 # ==============================
-# GRADIO APP (BLOCKS VERSION)
+# GRADIO APP
 # ==============================
 
 with gr.Blocks() as demo:
@@ -109,4 +113,4 @@ with gr.Blocks() as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()