PDFtota 📄🤖

PDFtota is a PDF-based voice assistant that allows users to upload a PDF, ask questions about its content, and receive responses from any local LLM. It also supports voice recording for input and text-to-speech (TTS) to speak out the AI's responses.

Features ✨

• 📂 PDF Uploading: Upload a PDF file and extract its content for analysis.
• 🎤 Voice Input: Record your question via microphone and transcribe it into text.
• 💬 Text Input: Ask questions directly through a chat-like interface.
• ⚡ AI-Powered Responses: Get answers based on the PDF's content using a local LLM model.
• 🔊 Text-to-Speech (TTS): Listen to the AI's responses via a button beside each answer.

Technologies Used 💻

• Frontend:
  • HTML, CSS, JavaScript
  • Bootstrap icons
• Backend:
  • Python (Flask)
  • SpeechRecognition for voice input
  • PyMuPDF (fitz) for PDF text extraction
  • gTTS for text-to-speech

Installation 🛠️

1. Clone the Repository:

   git clone https://github.com/your-username/PDFtota.git
   cd PDFtota

2. Install Dependencies: Ensure you have Python 3.x installed. Then, install the required packages:

   pip install -r requirements.txt

3. Run the Flask Server:

   python app.py

4. Access the Application: Open your web browser and go to http://127.0.0.1:5000/.

Usage 🚀

• 📥 Upload a PDF: Use the PDF icon next to the chat box to upload a PDF.
• 💬 Ask a Question: Type your question or record your voice, then press the send button to get a response.
• 🔊 Speak the Response: After a response is received, you will see a button next to the response bubble that allows you to hear the answer using TTS.

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Feel free to contribute, suggest improvements, or report issues! 😊