Smart Document Assistant Using Langchain,Google Generative AI,Hugging Face Transformers and Streamlit

Overview

The Document Interaction Platform allows users to upload various types of documents (PDF, CSV, DOCX, TXT) and interact with them using text or voice queries. It supports both text-based and voice-based interactions, provides document summarization, and utilizes state-of-the-art language models and speech recognition technologies.

Features

• Versatile Document Support: Supports PDF, CSV, DOCX, and TXT files.
• Text Query: Allows users to submit text queries to retrieve relevant information from the documents.
• Voice Query: Enables users to ask questions through voice commands.
• Summarization: Provides a summary of the document content.
• Text-to-Speech: Converts text responses into speech for auditory feedback.

Technologies

• LangChain: Framework for managing and using language models.
• Google Generative AI: For generating answers based on document content.
• FAISS: Library for efficient similarity search and clustering.
• Hugging Face Transformers: For summarization using pre-trained models.
• SpeechRecognition: For speech-to-text conversion.
• gTTS: Google Text-to-Speech for converting text to speech.
• Streamlit: For building the interactive web interface.

Installation

Prerequisites

• Python 3.7 or higher
• Google API Key (for using Google Generative AI services)

Install Required Packages

To set up the project, follow these steps:

1. Clone the Repository

   git clone https://github.com/ManiNagaraj2/Smart-Document-Assistant.git

2. Install the necessary Python packages using requirements.txt:

   pip install -r requirements.txt

Configuraion

Set up Google API Key: Replace "YOUR_GOOGLE_API_KEY" in the code with your actual Google API key.

Usage

Running the Application

To run the Streamlit web application, use the following command:

streamlit run app.py

Interacting with the Application

Upload a Document: Choose a file (PDF, CSV, DOCX, or TXT) using the file uploader. Summarize Document: Click the "📋 Summarize Document" button to get a summary of the document. Text Query: Select "📝 Text Query" and enter your query in the text input field. Voice Query: Select "🎤 Voice Query" and click "🎙️ Record Voice Query" to ask questions using your voice. Speak Answer: Use the "🔊 Speak Answer" button to listen to the response.

Code Structure

smartdoc.ipynb: Jupyter notebook containing the core functionality for document processing, querying, and summarization.

app.py: Streamlit application for interactive document upload, query, and summarization.