Update app.py

app.py

@@ -2,6 +2,11 @@ import gradio as gr
 import numpy as np
 from pypdf import PdfReader
 import os
+from transformers import pipeline
+
+model_path = "mrm8488/camembert2camembert_shared-finetuned-french-summarization"
+pipe = pipeline('summarization', model_path)
+min_length = 500
 
 def extract_text(file):
 
@@ -18,10 +23,18 @@ def extract_text(file):
     text = ' '.join(text)
 
     return text
+    
+def summarise(text):
+
+    pred = pipe(text ,  min_length)
+    
+    return pred[0]["summary_text"]
 
 with gr.Blocks() as demo:
     file_input = gr.File(label="Upload a PDF file")
     text_output = gr.Textbox(label="Extracted Text")
+    summary_output = gr.Textbox(label="Summary")
     file_input.upload(extract_text, inputs=file_input, outputs=text_output)
+    text_output.change(summarise,text_output,summary_output)
 
-demo.launch()
+demo.launch()