Update app.py

app.py

@@ -0,0 +1,41 @@
+from flask import Flask, request
+from transformers import RobertaForSequenceClassification, RobertaTokenizer, RobertaConfig
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+from transformers import RobertaConfig
+from torch import cuda
+import torch
+import gradio as gr
+import os
+import re
+import pdfplumber
+
+app = Flask(__name__)
+
+# function to break text into an array of sentences
+
+def upload_file(file):
+   
+    if file:
+        pdf_file = file.name
+        text = ""
+        with pdfplumber.open(pdf_file) as pdf:
+            cnt = 0
+            for page in pdf.pages:
+                cnt+=1
+                text+=(page.extract_text(x_tolerance = 1))
+                if cnt>5: 
+                    break
+            text = text.replace('\n', ' ')
+            return text
+    else:
+        return {"error":'No PDF file found in request'}
+
+
+demo = gr.Interface(
+        fn=upload_file, 
+        inputs=gr.File(), 
+         article = "Visit <a href = \"https://ai-content-detector.online/\">AI Content Detector</a> for better user experience!",
+        outputs=gr.outputs.JSON(),
+        interpretation="default",)
+
+demo.launch(show_api=False)