Update app.py

app.py

@@ -3,17 +3,14 @@
 # The code receives a PDF but doesnt' appear to process it.
 # I still need to add the gradio interface output to show the summarized text and play the sound file
 import gradio as gr
-def process_input(pdf_file):
-    print("Received PDF File:", pdf_file.name)
-    # Read the content of the uploaded PDF file
-    pdf_content = pdf_file.read()
-    # Save the received PDF content locally
-    with open("received_pdf.pdf", "wb") as output_file:
-        output_file.write(pdf_content)
-    # Return the content of the processed PDF file
-    return pdf_content
-    
 
+# Interface for displaying the summarized text
+summarized_textbox = gr.Textbox(type="text", label="Summarized Text")
+
+# Interface for playing the speech
+speech_audio = gr.Audio(type="file", label="Text-to-Speech Audio", element_id="audio_element")
+
+# Interface to process input and display results
 iface = gr.Interface(
     fn=process_input,
     inputs=[
@@ -22,8 +19,33 @@ iface = gr.Interface(
             label="Hello. This app is called Abstract Summariser and gives a one sentence summary of the input PDF in both written and spoken form. Please upload a PDF file that contains an abstract.",
         ),
     ],
-    outputs=None, 
+    outputs=[summarized_textbox, speech_audio],  # Display the summarized text and audio
 )
+
+
+
+
+def process_input(pdf_file):
+    print("Received PDF File:", pdf_file.name)
+    # Read the content of the uploaded PDF file
+    pdf_content = pdf_file.read()
+    # Save the received PDF content locally
+    with open("received_pdf.pdf", "wb") as output_file:
+        output_file.write(pdf_content)
+    # Return the content of the processed PDF file
+    return pdf_content
+    
+###commented out latest version
+#iface = gr.Interface(
+ #   fn=process_input,
+  #  inputs=[
+   #     gr.File(
+    #        type="binary",
+     #       label="Hello. This app is called Abstract Summariser and gives a one sentence summary of the input PDF in both written and spoken form. Please upload a PDF file that contains an abstract.",
+      #  ),
+#    ],
+ #   outputs=None, 
+#)
 iface.launch(share=True)
 #iface.launch()
 #python app.py 
@@ -336,3 +358,9 @@ with torch.no_grad():
 speech = model.generate_speech(inputs["input_ids"], speaker_embeddings, vocoder=vocoder)
 Audio(speech, rate=16000)
 
+#new code
+summarized_text = summarize_abstract(abstract_from_pdf)
+    # Set the value of the summarized_textbox
+    summarized_textbox.value = summarized_text
+
+speech_audio.file = audio_path