update upload function (without pd)

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
-import pandas as pd
+import csv 
 
 MODEL_URL = "https://huggingface.co/dsfsi/PuoBERTa-News"
 WEBSITE_URL = "https://www.kodiks.com/ai_solutions.html"
@@ -29,8 +29,9 @@ def prediction(news):
 
 def file_prediction(file):
     if file.name.endswith('.csv'):
-        df = pd.read_csv(file)
-        news_list = df.iloc[:, 0].tolist()
+        file.seek(0)  
+        reader = csv.reader(file.read().decode('utf-8').splitlines())
+        news_list = [row[0] for row in reader if row] 
     else:
         file.seek(0)  
         file_content = file.read().decode('utf-8')
@@ -40,12 +41,14 @@ def file_prediction(file):
     for news in news_list:
         if news.strip():
             pred = prediction(news)
-            results.append(pred)
-    
-    return pd.DataFrame({
-        'News': news_list,
-        'Prediction': results
-    })
+            results.append({"news": news, "predictions": pred})
+
+    output = "News Article | Predictions\n"
+    output += "-" * 50 + "\n"
+    for result in results:
+        output += f"{result['news']} | {result['predictions']}\n"
+    return output
+