added app fiel

app.py

@@ -0,0 +1,43 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Mon May  8 00:32:30 2023
+
+@author: ahmet
+"""
+import pdfplumber
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+
+def respond(pdf_file):
+    pdf_file_name = pdf_file.name
+    all_text = ''
+    with pdfplumber.open(pdf_file_name) as pdf:
+        total_pages = len(pdf.pages)
+        for idx, pdf_page in enumerate(pdf.pages):
+           single_page_text = pdf_page.extract_text()
+           all_text = all_text + '\n' + single_page_text
+           print(idx/total_pages)
+           if idx/total_pages >0.2:
+               break
+    tokenizer=AutoTokenizer.from_pretrained('Einmalumdiewelt/T5-Base_GNAD')
+    model=AutoModelForSeq2SeqLM.from_pretrained('Einmalumdiewelt/T5-Base_GNAD', return_dict=True)
+    inputs=tokenizer.encode("sumarize: " +all_text, return_tensors='pt', max_length=512, truncation=True)
+    output = model.generate(inputs, min_length=70, max_length=80)
+    summary=tokenizer.decode(output[0])
+    return summary
+
+
+with gr.Blocks() as demo:
+    title = """<p><h1 align="center" style="font-size: 36px;">Talk with your document</h1></p>"""
+    gr.HTML(title)
+    with gr.Row():
+        with gr.Column():
+            file_input = gr.File(label="PDF File", type="file")
+            summarize = gr.Button("Summarize")
+        text_output = gr.Textbox(label="Summarized text")
+        
+    summarize.click(fn=respond, inputs=file_input, outputs=text_output)
+
+        
+demo.launch(debug=True)