Update app.py

app.py

@@ -3,12 +3,20 @@ from transformers import pipeline
 
 summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
 
+
 def summarize(text):
-  return summarizer(text, max_length=400, min_length=50)[0]['summary_text']
- 
-  
+    return summarizer(text, max_length=400, min_length=50)[0]["summary_text"]
+
+
 title = "OpenAI Summarizer"
 description = "Abstractive Text Summarization using Hugging Face transformers."
 article = "<div style='text-align: center; max-width:800px; margin:10px auto;'><p></p><p>Sources: <a href='https://github.com/huggingface/transformers/' target='_blank'>Transformers</a>: Machine Learning with pretrained models</p><p style='text-align: center'> With help of <a href='https://fxstrengthmeter.com/' target='_blank'>Currency Strength meter</a>: live indicator with real-time market data that compares a currency with other major currencies</p></div>"
-    
-gr.Interface(fn=summarize, inputs=gr.inputs.Textbox(lines=12, placeholder="Enter text to summarize here"), outputs="text", title=title, description=description, article=article).launch()
+
+gr.Interface(
+    fn=summarize,
+    inputs=gr.inputs.Textbox(lines=12, placeholder="Enter text to summarize here"),
+    outputs="text",
+    title=title,
+    description=description,
+    article=article,
+).launch()