Specky (Back-End System)

🎉 Specky is the cutting-edge back-end system designed to empower your applications with AI-driven capabilities for handling files, natural language, and voice interactions. After 200+ hours of development, this is a revolutionary system ready to transform how applications work with data.

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Core Features

1. File Chat

💬 Engage with Files Seamlessly
Specky enables users to chat with files, regardless of their type. Whether it’s a PDF, Word document, or spreadsheet, you can:

• Ask questions about file content.
• Extract key information in real-time.
• Search across multiple files intelligently.

Use Case: Quickly find insights from a collection of research papers or contracts.

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2. File Translation

🌍 Translate Files to Any Language
Specky provides robust translation tools for converting file content into any desired language. This feature supports diverse document formats and ensures high-quality, context-aware translations.

Use Case: Make your business documents accessible globally by translating them into multiple languages.

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3. File Summarization

📝 Summarize Content Effortlessly
Generate concise summaries for any file, tailored to your preferred length or page limits. This feature is perfect for extracting the essence of lengthy documents.

Use Case: Save time by summarizing a 100-page report into key points or a 500-word summary.

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4. Pronunciation Correction

🗣️ Perfect Your Pronunciation
Specky’s AI-driven pronunciation correction ensures accurate verbal communication. It analyzes your input and provides precise feedback for improving spoken language skills.

Use Case: Ideal for learners refining their pronunciation or professionals preparing for presentations.

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5. Text-to-Speech

🔊 Turn Text into Lifelike Speech
Transform written text into natural, high-quality audio output. This feature enhances accessibility and usability, especially for visually impaired users or those on the go.

Use Case: Generate audio guides or narrations for eBooks effortlessly.

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6. Speech-to-Text

🎙️ Convert Speech into Accurate Text
Record and transcribe spoken words into accurate text. This feature is indispensable for creating meeting notes, captions, or analyzing conversations.

Use Case: Automate transcription for meetings, lectures, or interviews.

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Why Specky?

• AI-Powered: Leveraging the power of Retrieval-Augmented Generation (RAG) for high efficiency.
• Multi-File Capability: Handle diverse file types and formats.
• Scalable Solutions: Perfect for individual users or large enterprises.
• Integrated Workflows: Seamlessly connect NLP, voice, and data processing into one platform.

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Get Started

1. Create an Account: Sign up on Specky.
2. Setup API Access: Secure your API credentials.
3. Start Using Features: Implement the workflows into your application.

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Requirements

• Python 3.8 or later

Install Python using MiniConda

1. Download and install MiniConda from here
2. Create a new environment using the following command:

$ conda create -n mini-rag python=3.8

3. Activate the environment:

$ conda activate mini-rag

(Optional) Setup you command line interface for better readability

export PS1="\[\033[01;32m\]\u@\h:\w\n\[\033[00m\]\$ "

Installation

Install the required packages

$ pip install -r requirements.txt

Setup the environment variables

$ cp .env.example .env

Set your environment variables in the .env file. Like OPENAI_API_KEY value.

Run Docker Compose Services

$ cd docker
$ cp .env.example .env

• update .env with your credentials

$ cd docker
$ sudo docker compose up -d

Run the FastAPI server

$ uvicorn main:app --reload --host 0.0.0.0 --port 5000