Update README.md

README.md

@@ -1,36 +1,10 @@
-# Web App of Meta's META's  Massively Multilingual Speech (MMS)
-
-This repository contains a Python code that implements a [META's  Massively Multilingual Speech (MMS)](https://github.com/facebookresearch/fairseq/tree/main/examples/mms)  using the Gradio library. The application allows users to record audio and convert it to text, or enter text and generate corresponding local speech output.
-
-## Step 1: Clone repo
-```shell
-git clone https://github.com/ikequan/meta-mms.git
-cd meta-mms
-```
-## Step 2: Prerequisites
-
-Before running the code, make sure you have the following requirements installed:
-
-- Python 3.x
-- gradio
-- speech_recognition
-- ttsmms
-- deep_translator
-
-You can install the required packages using the following command:
-
-```shell
-pip install gradio SpeechRecognition ttsmms deep_translator
-```
-
-## Step 3: Download language model
-Check [here](https://github.com/wannaphong/ttsmms/blob/main/support_list.txt) for supported languages and  their iso code for this step.
-```shell
-curl https://dl.fbaipublicfiles.com/mms/tts/{put your language iso code here}.tar.gz --output {put your language iso code here}.tar.gz # Update lang
-mkdir -p data && tar -xzf {put your language iso code here}.tar.gz -C data/ # Update langcode
-```
-
-## Step 4: Run code
-```shell
-python app.py
-```
+---
+title: English to Twi - Ewe Speech Generator
+emoji: 🎤
+colorFrom: blue
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.32.0
+app_file: app.py
+pinned: false
+---