Update app.py

app.py

@@ -1,35 +1,8 @@
 import gradio as gr
-import re
 
-from transformers import pipeline
-
-sentiment = pipeline("sentiment-analysis", model="Ammar-alhaj-ali/arabic-MARBERT-sentiment") 
-# you can swop out "sentiment-analysis" for other task identifiers such as "summarization" or "zero-shot-classification".
-
-# I've added optional lines for text cleaning
-# note that the sentiment-analysis pipeline returns 2 values - a label and a score
-def sentiment_analysis(text):
-    text = text.encode("ascii", errors="ignore").decode(
-        "ascii"
-    )  # remove non-ascii, Chinese characters
-    text = text.lower()  # lower case
-    text = re.sub(r"\n", " ", text)
-    text = re.sub(r"\n\n", " ", text)
-    text = re.sub(r"\t", " ", text)
-    text = text.strip(" ")
-    text = re.sub(r"[^\w\s]", "", text)  # remove punctuation and special characters
-    text = re.sub(
-        " +", " ", text
-    ).strip()  # get rid of multiple spaces and replace with a single
-    results = sentiment(text)
-    return results[0]["label"], round(results[0]["score"], 5)
-###gr.Interface(batch=True)
-grui=gr.Interface(fn=sentiment_analysis, 
-             inputs=[gr.inputs.Textbox(lines=10, label="Paste some text here"), gr.inputs.Textbox(lines=10, label="Paste some text here")],
-             outputs=[ gr.outputs.Textbox(label="Sentiment Label"), gr.outputs.Textbox(label="Sentiment Label")],
-             batch=True,
-             max_batch_size=2)
-grui.launch()
-
-##gr.Interface.load("models/Ammar-alhaj-ali/arabic-MARBERT-sentiment").launch()
+gr.Interface.load("models/Ammar-alhaj-ali/arabic-MARBERT-sentiment").launch()
+gr.Interface.load("models/Ammar-alhaj-ali/arabic-MARBERT-sentiment").launch()
+gr.Interface.load("models/Ammar-alhaj-ali/arabic-MARBERT-sentiment").launch()
+gr.Interface.load("models/Ammar-alhaj-ali/arabic-MARBERT-sentiment").launch()
+gr.Interface.load("models/Ammar-alhaj-ali/arabic-MARBERT-sentiment").launch()
     ##import requests