Speech to text -text to speech/complete UI (SR. NO 3)

DOCS/Setup.md

@@ -0,0 +1,73 @@
+# Project Setup Guide
+
+## Backend Go Setup
+
+1. Navigate to the backend directory:
+   ```sh
+   cd ./backend
+   ```
+2. Run the backend server:
+   ```sh
+   go run cmd/server/main.go
+   ```
+
+## Backend Flask Setup
+
+This document explains how to set up the Flask backend for the AI debate analysis project.
+1. cd backend
+2. python -m venv venv
+3. 
+   On Linux/MacOS:
+   source venv/bin/activate
+
+   On Windows:
+   venv\Scripts\activate
+
+4. pip install -r requirements.txt
+
+5. Rename .env.example file to .env file 
+
+6. Generate Your API keys from https://openrouter.ai/ 
+7. Run the application using python main.py 
+
+
+
+## Frontend Setup
+
+1. Navigate to the frontend directory:
+   ```sh
+   cd ./frontend
+   ```
+2. Install dependencies:
+   ```sh
+   npm install
+   ```
+3. Start the development server:
+   ```sh
+   npm run dev
+   ```
+
+## Setting Up Amazon Cognito
+
+Follow these steps to configure Amazon Cognito for authentication:
+
+1. **Navigate to Cognito**
+   - Go to the [AWS Management Console](https://aws.amazon.com/console/) and open Cognito.
+
+2. **Create a User Pool**
+   - Configure authentication settings as per your requirements.
+
+3. **Retrieve Credentials**
+   - Once the User Pool is set up, obtain the necessary credentials:
+     - **User Pool ID**
+     - **App Client ID**
+
+4. **Update Application Configuration**
+   - Add the retrieved credentials to your application's configuration file (e.g., `config.yml`).
+
+For more details, refer to the [official AWS documentation](https://docs.aws.amazon.com/cognito/).
+
+---
+
+This guide follows the approach used in the project implementation. If you encounter any issues, check the AWS documentation or relevant project files.
+

README.md

@@ -1,6 +1,11 @@
-# Project Setup Guide
+# DebateAI
+DebateAI is an interactive debating platform that allows users to engage in debates with both AI and real users. The project is built using multiple technologies, integrating real-time WebSocket communication and AI-based argument analysis.
+
+## 🛠️ Tech Stack
+### **Backend**
+- **Go** (WebSockets) – Real-time User vs User debates.
+- **Flask** (REST API) – User vs AI debates and AI analysis.
 
-## Backend Setup
 
 1. Navigate to the backend directory:
    ```sh
@@ -67,4 +72,5 @@ To use OpenAI services, obtain an API key from OpenRouter:
 
 ---
 
+
 This guide follows the project implementation approach. If you encounter any issues, check the AWS documentation or relevant project files.

backend/cmd/server/main.go

@@ -1,12 +1,12 @@
 package main
 
 import (
-	"log"
-	"strconv"
-
 	"arguehub/config"
 	"arguehub/routes"
+	"arguehub/services"
 	"arguehub/websocket"
+	"log"
+	"strconv"
 
 	"github.com/gin-contrib/cors"
 	"github.com/gin-gonic/gin"
@@ -51,8 +51,9 @@ func setupRouter(cfg *config.Config) *gin.Engine {
 	router.POST("/forgotPassword", routes.ForgotPasswordRouteHandler)
 	router.POST("/confirmForgotPassword", routes.VerifyForgotPasswordRouteHandler)
 	router.POST("/verifyToken", routes.VerifyTokenRouteHandler)
-	
+
 	router.GET("/ws", websocket.WebsocketHandler)
+	router.GET("/debate/ws", services.DebateHandler)
 
-	return router
+	return router
 }