Create app.py

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+import preprocessor as tweet_cleaner
+import requests
+from transformers import pipeline
+
+pretrained_name = "w11wo/indonesian-roberta-base-sentiment-classifier"
+
+sentiment = pipeline(
+    "sentiment-analysis",
+    model=pretrained_name,
+    tokenizer=pretrained_name,
+    max_length=512,
+    truncation=True,
+)
+
+def clean_tweet(tweet):
+    return tweet_cleaner.clean(tweet)
+
+def get_sentiment(input_text):
+  return sentiment(clean_tweet(input_text))
+  
+iface = gr.Interface(fn = get_sentiment, 
+                     inputs = 'text', 
+                     outputs = ['text'], 
+                     title = 'Analisis Sentimen Twitter', 
+                     description="Dapatkan sentimen postiif, negatif, atau netral untuk tweet yang dimasukkan.")
+                     
+iface.launch(inline = False)