Update app.py

app.py

@@ -4,17 +4,20 @@ from transformers import pipeline
 summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
 
-def summarize(text):
-    return summarizer(text, max_length=400, min_length=50)[0]["summary_text"]
+def summarize(text, slen):
+    return summarizer(text, max_length=slen, min_length=50)[0]["summary_text"]
 
 
-title = "OpenAI Summarizer"
+title = "Bart large CNN 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(label="Input Text", lines=12, placeholder="Enter text to summarize here"),
+    inputs=[
+                gr.inputs.Textbox(label="Input Text", lines=12, placeholder="Enter text to summarize here"),
+                gr.inputs.Slider(60, 1000, value=400, label="Max summary length")    
+           ],
     outputs=gr.outputs.Textbox(type="text", label="Summary"),
     title=title,
     description=description,