updated app.py

app.py

@@ -1,8 +1,10 @@
 from transformers import pipeline
 import gradio as gr
 
+# Define the summarizer using the transformers pipeline
 summarizer = pipeline("summarization", model="t5-base", tokenizer="t5-small", truncation=True, framework="tf")
 
+# Define the function to process the text and return the summary
 def translate(text):
     text = text.replace('"', '"')
     text = text.replace(''', "'")
@@ -10,9 +12,12 @@ def translate(text):
     result = summarizer(text, min_length=180, truncation=True)
     return result[0]['summary_text']
 
+# Create the Gradio interface with updated syntax
 iface = gr.Interface(
     fn=translate,
-    inputs = gr.inputs.Textbox(lines=10, placeholder="Enter text to summarize..."),
-    outputs="text"
+    inputs=gr.Textbox(lines=10, placeholder="Enter text to summarize..."),
+    outputs=gr.Textbox()
 )
-iface.launch()
+
+# Launch the Gradio app
+iface.launch()