dockerfile

README.md

@@ -1,7 +1,6 @@
 # **VocRT - Personal Realtime Voice-to-Voice AI Solution**
 
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
-[![Docker](https://img.shields.io/badge/Docker-Available-blue.svg)](https://hub.docker.com/r/anuragsingh922/vocrt)
 [![Python 3.10](https://img.shields.io/badge/Python-3.10-green.svg)](https://www.python.org/)
 
 VocRT is a comprehensive, privacy-first **Realtime Voice-to-Voice (V2V)** solution that enables natural conversations with AI. Built with cutting-edge TTS models, RAG capabilities, and seamless integration, VocRT processes your voice input and responds with high-quality synthesized speech in real-time.
@@ -97,6 +96,12 @@ venv\Scripts\activate
 
 ### **Step 3: Install Python Dependencies**
 
+```
+pip install -r requirements.txt
+```
+
+If the installation fails (e.g. due to dependency or PyTorch issues), try the following recovery steps:
+
 ```
 pip install --upgrade pip setuptools wheel
 pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu
@@ -108,7 +113,8 @@ pip install -r requirements.txt
 #### **Ubuntu/Debian:**
 
 ```
-sudo apt-get update && sudo apt-get install espeak
+sudo apt-get update
+sudo apt-get install espeak
 ```
 
 #### **macOS:**
@@ -138,10 +144,10 @@ espeak "VocRT installation successful!"
 ```
 cd backend
 npm install
-node app.js
+npm run dev
 ```
 
-### **Step 6: Frontend Setup (React)**
+### **Step 6: Frontend Setup (Vite)**
 
 ```
 cd frontend

backend/package.json

@@ -4,7 +4,8 @@
   "description": "",
   "main": "index.js",
   "scripts": {
-    "test": "echo \"Error: no test specified\" && exit 1"
+    "test": "echo \"Error: no test specified\" && exit 1",
+    "dev": "node app.js"
   },
   "keywords": [],
   "author": "",