Update app.py

app.py

@@ -10,7 +10,7 @@ summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50-many-to-many-mmt")
 tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50-many-to-many-mmt")
 def summariser(ar_en, lang):
-    summ = summarizer(ar_en, max_length=130, min_length=30, do_sample=False)['summary_text']
+    summ = summarizer(ar_en, max_length=130, min_length=30, do_sample=False)[0]['summary_text']
     tokenizer.src_lang = "en_XX"
     encoded_ar = tokenizer(summ, return_tensors="pt")
     if(lang=='Hindi'):
@@ -31,7 +31,7 @@ def summariser(ar_en, lang):
 iface = gr.Interface(
     fn=summariser, 
     inputs=[gr.Textbox(label="Enter the paragraph in English", placeholder="Type here..."), gr.Radio(["Hindi", "Gujrati", "Bengali", "Tamil"], label="Language to be summarised in:")], 
-    outputs="text",
+    outputs=gr.Textbox(label="Summarised Text"),
     title="English to Indic Summariser"
 )
 iface.launch()