fixed app.py

app.py

@@ -7,12 +7,14 @@ import torch
 from transformers import pipeline, AutoProcessor, AutoModel
 import numpy as np
 import gradio as gr
+from io import BytesIO
 from scipy.io.wavfile import write as write_wav
 warnings.filterwarnings("ignore")
 
 
 # Here is the code
 def extract_abstract(uploaded_file):
+    pdf_bytes = BytesIO(uploaded_file)
     with pdfplumber.open(pdf_bytes) as pdf:
         abstract = ""
         # Iterate through each page
@@ -85,7 +87,7 @@ def summarize_and_convert_to_audio(pdf_file):
 # Create a Gradio interface
 iface = gr.Interface(
     fn=summarize_and_convert_to_audio,
-    inputs=gr.UploadButton(label="Upload PDF", type="filepath", file_types=["pdf"]),  # Set to accept only PDF files
+    inputs=gr.UploadButton(label="Upload PDF", type="binary", file_types=["pdf"]),  # Set to accept only PDF files
     outputs=gr.Audio(label="Audio"),
     title="PDF Abstract Summarizer",
     description="Upload a PDF with an abstract to generate a summarized audio."