Add application file

app.py

@@ -30,7 +30,7 @@ description = """
 This app enables users to upload academic articles in PDF format, specifically focusing on abstracts. 
 It efficiently summarizes the abstract and provides an audio playback of the summarized content. 
 Below are some example PDFs for you to experiment with. Feel free to explore the functionality of SpeechAbstractor!
-(Please note: it works only with articles with an Abstract)."""
+(Please note: it works only with articles with an abstract)."""
 
 examples = [
     ["Article_7.pdf"],["Article_11.pdf"]
@@ -159,7 +159,7 @@ def main_function(uploaded_filepath):
     synthesiser = pipeline("text-to-speech", model="microsoft/speecht5_tts")
     embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
     speaker_embedding = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
-    speech = synthesiser(summary, forward_params={"speaker_embeddings": speaker_embedding})
+    speech = synthesiser(first_sentence, forward_params={"speaker_embeddings": speaker_embedding})
 
     #saving the audio in a temporary file
     audio_file_path = "summary.wav"