Sumarize-Content-Text-To-Speech

It is a solution to process PDF documents by extracting their content, summarizing it with OpenAI's GPT-3.5 Turbo model, and converting the summary into an audio file using Google Text-to-Speech (gTTS).

Text-to-Speech Summarization Project

This project provides an efficient way to process PDF documents by extracting their content, summarizing it using OpenAI's GPT-3.5 Turbo model, and converting the summary into an audio file with Google Text-to-Speech (gTTS). Built for ease of use within the Google Colab environment, the workflow automates text extraction, summarization, and audio playback, offering a quick solution for information retrieval and accessibility.

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Features

• PDF Text Extraction: Easily extract text content from uploaded PDF files.
• Text Summarization: Generate concise summaries using OpenAI's GPT-3.5 Turbo.
• Text-to-Speech Conversion: Convert text summaries to audio using gTTS.
• Audio Playback: Automatically generate and play audio files for the summarized text.

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Technologies Used

• OpenAI GPT-3.5 Turbo: For high-quality text summarization.
• LangChain: Handles text splitting and chain operations.
• Google Text-to-Speech (gTTS): Converts text into speech audio.
• Python Libraries:
  • pdfx for extracting text from PDFs.
  • tiktoken for text tokenization.
  • IPython for seamless audio playback.
  • Integration in the Google Colab environment.

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Installation

Follow these steps to set up and run the project:

1. Clone the Repository

   git clone <gh repo clone mmanikandan281/Sumarize-Content-Text-To-Speech>
   cd <https://github.com/mmanikandan281/Sumarize-Content-Text-To-Speech>

2. Install Dependencies Install the required Python libraries:

   pip install openai pdfx langchain tiktoken langchain-openai gtts ipython

3. Set Up API Keys

   • Obtain your OpenAI API key from OpenAI.
   • Use Google Colab's userdata module to securely input the key:

     from google.colab import userdata
     OPENAI_API_KEY = userdata.get('secretName')

4. Access My Colaboratory

   https://colab.research.google.com/drive/19Y96L8z7wmO7GaLSPd6h3n6iLBkrJT_P?usp=drive_link
   

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Usage

1. Upload a PDF File Upload your PDF using the files module in Google Colab:

   from google.colab import files
   uploaded = files.upload()

2. Extract Text from the PDF Use pdfx to extract text content:

   import pdfx
   pdf = pdfx.PDFx("example1.pdf")
   pdf_content = pdf.get_text()

3. Summarize the Text Process and summarize the text:

   summary = chain.invoke(docs)

4. Convert Summary to Speech Generate and play the audio file:

   from gtts import gTTS
   tts = gTTS(text=summary_text, lang='en')
   tts.save('summary.mp3')
   from IPython.display import Audio
   Audio("summary.mp3", autoplay=True)

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Example Output

1. Input: A sample PDF (example1.pdf).
2. Output:
   • Summarized text displayed in Colab.
   • Audio file (summary.mp3) for text-to-speech playback.

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Contact

For inquiries or feedback, reach out to:

• Name: Manikandan M
• Email: [email protected]

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Enjoy using the Text-to-Speech Summarization Project💌!