README.md

metadata

license: mit
language:
  - en
base_model:
  - openai/whisper-tiny
library_name: transformers
tags:
  - speech-to-text
  - openai-whisper

Speech-to-Text (CPU/GPU)

• Model: openai/whisper-tiny (MIT)
• Task: Transcribe short audio clips. Requires ffmpeg installed.
• Note: Here we just provide the resources for to run this models in the laptops we didn't develop this entire models we just use the open source models for the experiment this model is developed by OpenAI

Quick start (any project)

# 1) Create env
python -m venv venv && source .venv/bin/activate  # Windows: ./venv/Scripts/activate

# 2) Install deps
pip install -r requirements.txt

# 3) Run
python main.py --help

Tip: If you have a GPU + CUDA, PyTorch will auto-use it. If not, everything runs on CPU (slower but works).

---

and while running the main.py code using command then only you the output Use: python main.py --audio sample.wav

FFmpeg Installation

1. Download FFmpeg:
   • Visit https://www.gyan.dev/ffmpeg/builds/ and download ffmpeg-git-essentials.zip.
   • Extract to C:\ffmpeg (or another folder, e.g., C:\Users\jhaishna\Documents\ffmpeg).
2. Add FFmpeg to System PATH:
   • Right-click 'This PC' > Properties > Advanced system settings > Environment Variables.
   • Under 'System Variables', find Path, click 'Edit', and add C:\ffmpeg\bin (adjust if extracted elsewhere).
   • Save changes.
3. Verify Installation:

   • Open CMD (or VS Code terminal) and run:

     ffmpeg -version
     

   • Expected output: ffmpeg version ....

4. For VS Code PowerShell Terminal:

   • If ffmpeg -version fails in VS Code, add FFmpeg to the PowerShell PATH:

     $env:PATH += ";C:\ffmpeg\bin"
     

   • To persist, edit PowerShell profile:

     notepad $PROFILE
     

     Add: $env:PATH += ";C:\ffmpeg\bin"Save and restart the terminal.