# PDF Audio Summarizer

README.md

@@ -1,12 +1,53 @@
 ---
 title: Audio Abstract42
-emoji: ⚡
-colorFrom: yellow
+emoji: 😻
+colorFrom: blue
 colorTo: green
 sdk: gradio
 sdk_version: 4.7.1
 app_file: app.py
 pinned: false
 ---
+# PDF Audio Summarizer
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+This application summarizes PDF documents and converts the summary to audio.
+
+## How it works
+
+The core logic is in the `audio_pdf` function. It:
+
+1. Extracts raw text from the uploaded PDF using `PyPDF2` 
+2. Summarizes the text using a BART model from HuggingFace Transformers. This uses `AutoTokenizer` and `AutoModelForSeq2SeqLM` to load the model and generate a summary
+3. Converts the text summary to an audio file using `gTTS` (Google Text-to-Speech)  
+
+The summary and audio file are returned and displayed in the Gradio web interface.
+
+## Interface 
+
+The interface is created using Gradio. The key components are:
+
+- `File` input to upload a PDF
+- `Text` output to display the text summary 
+- `Audio` output to play the audio file
+
+The interface is launched via `iface.launch()`
+
+## Dependencies
+
+- PyPDF2
+- Transformers
+- gTTS 
+- Gradio
+- torch
+- numpy
+- scipy
+- io
+
+Additional dependencies:
+
+- `torch`: For neural network computations in Transformers
+- `numpy`: For numerical processing
+- `scipy`: For scientific computing
+- `io`: To buffer the audio data
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference