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 ---
 Model Type: Text to Speech
 Supported Languages: Assamese, Bengali, Bodo, Gujarati, Hindi, Kannada, Malayalam, Manipuri, Marathi, Odia, Punjabi, Rajasthani, Tamil, Telugu, Urdu
 ---
+<img src="https://api.visitorbadge.io/api/visitors?path=https://github.com/k-m-irfan/Fastspeech2_HS_Flask_API&label=VISITORS&countColor=%234285f4" align="right"></br>
 ***Demo: [IITM-TTS Demo](https://iitm-tts.onrender.com) | This may take approximately 30 seconds to load the first time and will go idle after 15 minutes of inactivity.***
 
 # Fastspeech2_HS_Flask_API
@@ -38,126 +117,7 @@ git clone https://huggingface.co/k-m-irfan/Fastspeech2_HS_Flask_API
 ```
 
 Alternatively, you can download the models from the original repository [Fastspeech2_HS](https://github.com/smtiitm/Fastspeech2_HS) 
-and organize the folder structure as specified below. Skip this step if already cloned the repository from Hugging Face.
-
-```bash
-models
-├── hindi
-│   ├── female
-│   └── male
-├── tamil
-│   ├── female
-│   └── male
-.
-.
-.
-└── marathi
-    ├── female
-    └── male
-```
-
-### Installation:
-
-Create a virtual environment and activate it:
-```bash
-python3 -m venv tts-hs-hifigan
-source tts-hs-hifigan/bin/activate
-```
-
-Install the required dependencies by running:
-```bash
-pip install -r requirements.txt
-```
-
-### Run Flask server:
-Ensure the server application is running correctly before proceeding. Use the following commands and check for any errors:
-```bash
-python3 flask_app.py
-# OR
-gunicorn -w 2 -b 0.0.0.0:5000 flask_app:app --timeout 600
-```
-
-If the application is running without any issues, proceed to start the server using the following command:
-```bash
-bash start.sh
-```
-
-### API
-```python
-"""
-This is a sample API code to send a text to the server and recieve speech
-for the given text.
-
-Supported languages: 
-
-Assamese, Bengali, Bodo, Gujarati, Hindi, Kannada, Malayalam, Manipuri
-Marathi, Odia, Punjabi, Rajasthani, Tamil, Telugu, Urdu
-
-"""
-import requests
-import json
-import base64
-
-# endpoint
-url = "http://localhost:5000/tts"
-
-lang = 'hindi'
-gender = 'female'
-text = "सुप्रभात, आप कैसे हैं?" # hindi
-# text = "സുപ്രഭാതം, സുഖമാ?" # malayalam
-# text = "সুপ্ৰভাত, তুমি কেনে?" # manipuri
-# text = "सुप्रभात, तुम्ही कसे आहात?" # marathi
-# text = "ಶುಭೋದಯ, ನೀವು ಹೇಗಿದ್ದೀರಿ?" # kannada
-# text = "बसु म्विथ्बो, बरि दिबाबो?" # bodo male yet to be added <---
-# text = "Good morning, how are you?" # english
-# text = "সুপ্ৰভাত, আপুনি কেমন আছে?" # assamese
-# text = "காலை வணக்கம், நீங்கள் எப்படி இருக்கின்றீர்கள்?" # tamil
-# text = "ସୁପ୍ରଭାତ, ଆପଣ କେମିତି ଅଛନ୍ତି?"
-# text = "सुप्रभात, आप कैसे छो?" # rajasthani
-# text = "శుభోదయం, మీరు ఎలా ఉన్నారు?" # telugu
-# text = "সুপ্রভাত, আপনি কেমন আছেন?" # bengali
-# text = "સુપ્રભાત, તમે કેમ છો?" # gujarati
-
-payload = json.dumps(
-    {
-    "input": text,
-    "gender": gender,
-    "lang": lang,
-    "alpha": 1 # to control speed
-    })
-
-headers = {'Content-Type': 'application/json'}
-response = requests.request("POST", url, headers=headers, data=payload).json()
-
-# save the received encoded audio
-audio = response['audio']
-file_name = "tts.wav"
-wav_file = open(file_name,'wb')
-decode_string = base64.b64decode(audio)
-wav_file.write(decode_string)
-wav_file.close()
-```
-
-### Citation for the original repo
-If you use this Fastspeech2 Model in your research or work, please consider citing:
-
-“
-COPYRIGHT
-2023, Speech Technology Consortium,
-Bhashini, MeiTY and by Hema A Murthy & S Umesh,
-DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
-and
-ELECTRICAL ENGINEERING,
-IIT MADRAS. ALL RIGHTS RESERVED "
-
-
-Shield: [![CC BY 4.0][cc-by-shield]][cc-by]
-
-This work is licensed under a
-[Creative Commons Attribution 4.0 International License][cc-by].
-
-[![CC BY 4.0][cc-by-image]][cc-by]
-
-[cc-by]: http://creativecommons.org/licenses/by/4.0/
-[cc-by-image]: https://i.creativecommons.org/l/by/4.0/88x31.png
-[cc-by-shield]: https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg
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