Update app.py

app.py

@@ -6,7 +6,7 @@ from transformers import AutoTokenizer, AutoModelWithLMHead, TranslationPipeline
 
 
 from transformers import pipeline
-import gradio as gr
+
 pipe= pipeline('text2text-generation', model="SEBIS/legal_t5_small_trans_fr_en")
 def generate_text(inp):
     output=pipe(inp, forced_bos_token_id=pipe.tokenizer.get_lang_id('en'))
@@ -38,6 +38,6 @@ def article_summarization(result):
 
 #iface = gr.Interface(fn=article_summarization,title="Summarization in English",description="facebook/bart-large-cnn for summarization in English", inputs=(lines=50,['text']), outputs=["text"])
 
-iface = gr.Interface(fn=article_summarization,title="Summarization in English",description="facebook/bart-large-cnn for summarization in English", inputs=gr.inputs.Textbox(lines=50, placeholder="Enter newpaper article to be summarized"), outputs=["text"])
+iface = gr.Interface(fn=article_summarization,title="Summarization in English",description="facebook/bart-large-cnn for summarization in English", inputs=gr.inputs.Textbox(lines=50, placeholder="Enter newpaper article to be summarized"), outputs=["summary_text"])
 
 iface.launch()