Update app.py

app.py

@@ -10,11 +10,7 @@ model_name = "pszemraj/led-base-book-summary"
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-
 def extract_abstract_and_summarize(pdf_file):
-    """
-    Extracts the abstract and summarizes it in one sentence with information till "Introduction".
-    """
     try:
         with open(pdf_file, "rb") as file:
             pdf_reader = PdfReader(file)
@@ -31,28 +27,30 @@ def extract_abstract_and_summarize(pdf_file):
                     else:
                         end_index = None
                     abstract_text = text[start_index:end_index]
-                    break  # Exit loop once abstract is found
+                    break
+
             # Summarize the extracted abstract
             inputs = tokenizer(abstract_text, return_tensors="pt")
-            outputs = model.generate(**inputs)
+            outputs = model.generate(**inputs, max_length=50, min_length=30)
             summary = tokenizer.decode(outputs[0])
-            # Extract only the first sentence
-            summary_sentence = extract_first_sentence(summary)
+
             # Generate audio
-            speech = gTTS(text=summary_sentence, lang="en")
+            speech = gTTS(text=summary, lang="en")
             speech_bytes = BytesIO()
             speech.write_to_fp(speech_bytes)
+
             # Return individual output values
-            return summary_sentence, speech_bytes.getvalue(), abstract_text.strip()
+            return summary, speech_bytes.getvalue(), abstract_text.strip()
+
     except Exception as e:
         raise Exception(str(e))
 
-
 interface = gr.Interface(
     fn=extract_abstract_and_summarize,
     inputs=[gr.File(label="Upload PDF")],
     outputs=[gr.Textbox(label="Summary"), gr.Audio()],
     title="PDF Summarization & Audio Tool",
-    description="""PDF Summarization App. This app extracts the abstract from a PDF, summarizes it in one sentence with information till "Introduction", and generates an audio of it. Only upload PDFs with abstracts.     Please read the README.MD for information about the app and sample PDFs.""",
+    description="""PDF Summarization App. This app extracts the abstract from a PDF, summarizes it in one sentence with information till "Introduction", and generates an audio of it. Only upload PDFs with abstracts. Please read the README.MD for information about the app and sample PDFs."""
 )
-interface.launch(share=True)
+
+interface.launch()