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Supriya090 committed Mar 12, 2024
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40 changes: 40 additions & 0 deletions README.md
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# Nepali Transliterator (NepaliXlit) Webapp

**Adaptation of [IndicXlit](https://github.com/AI4Bharat/IndicXlit) for Nepali systems.**

<hr>

Follow the instructions to run the app on your system

1. Create a virtual environment, so dependencies don't clash

```
python3 -m venv venv
source venv/bin/activate
```
2. Move to the app folder
```
cd app
```
3. Install the necessary dependencies
```
pip install -r app/dependencies.txt
```
4. Run the application
```
python3 app.py
```
Your app will be live at `http://127.0.0.1:8000`
It will take a few minutes for the first time to download the model and initialize the system.
<hr>
![webapp screenshot](app/webapp_ss.png)
4 changes: 4 additions & 0 deletions app/.gitignore
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dist/
*.egg-info/
venv/
__pycache__
Empty file added app/__init__.py
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37 changes: 37 additions & 0 deletions app/app.py
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from fastapi import FastAPI, HTTPException, Request
from fastapi.templating import Jinja2Templates
from pydantic import BaseModel
from transliteration import XlitEngine
from time import time

app = FastAPI()
templates = Jinja2Templates(directory=".")

engine = XlitEngine("ne", beam_width=10)


class Query(BaseModel):
text: str

@app.get("/")
async def index(request: Request):
return templates.TemplateResponse("index.html", {"request": request})

@app.post("/transliterate")
def transliterate(query: Query):
try:
# Make predictions using the loaded model
start_time = time()
out = engine.translit_sentence(query.text)
end_time = time()

return {"original": query.text, "translit": out, "time_taken": end_time-start_time}
except Exception as exp:
raise HTTPException(status_code=500, detail=str(exp))


if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="127.0.0.1", port=8000)

# uvicorn app:app --reload
19 changes: 19 additions & 0 deletions app/dependencies.txt
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pydload
flask
flask_cors
Flask-Limiter
gevent
sacremoses
pandas
tqdm
ujson
mock
tensorboardX
pyarrow
fairseq
fastapi
pydantic
uvicorn

urduhack
indic_nlp_library
106 changes: 106 additions & 0 deletions app/index.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Transliteration App</title>
<style>
body {
font-family: sans-serif; /* Change main font to sans-serif */
}
.container {
max-width: 600px;
margin: 0 auto;
padding: 20px;
text-align: center;
}

.input-section {
margin-bottom: 20px;
}

textarea {
width: 100%;
margin: 10px 0px 40px 0px;
padding: 10px;
font-size: medium;
}

button {
background-color: #4CAF50;
color: white;
padding: 10px 20px;
border: none;
cursor: pointer;
border-radius: 5px;
font-size: medium;
}

button:hover {
background-color: #45a049;
}

.spinner {
animation: spin 1s linear infinite;
border: 2px solid #f3f3f3; /* Light grey */
border-top: 2px solid #3498db; /* Blue */
border-radius: 50%;
width: 20px;
height: 20px;
display: inline-block;
margin-left: 10px;
vertical-align: middle;
}

.output-section {
font-size: 30px;
margin-top: 20px;
}

.time-taken {
font-size: 14px;
color: #888;
}
</style>
</head>
<body>
<div class="container">
<h1>NepaliXlit</h1>
<div class="input-section">
<textarea id="textInput" rows="10" cols="50" placeholder="Enter text..."></textarea>
<button onclick="transliterate()">Transliterate</button>
<span id="loading" class="spinner" style="display: none;"></span>
</div>
<div class="output-section">
<p id="output"></p>
<p id="timeTaken" class="time-taken"></p>
</div>
</div>

<script>
function transliterate() {
// Show the loading spinner
document.getElementById("loading").style.display = "inline-block";

var inputText = document.getElementById("textInput").value;
fetch('/transliterate', {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify({ text: inputText })
})
.then(response => response.json())
.then(data => {
// Hide the loading spinner
document.getElementById("loading").style.display = "none";

console.log(data)
document.getElementById("output").innerText = "Transliteration: " + data.translit.ne;
document.getElementById("timeTaken").innerText = "Time taken: " + (parseFloat(data.time_taken)).toFixed(2) + " seconds"
})
.catch(error => console.error('Error:', error));
}
</script>
</body>
</html>
2 changes: 2 additions & 0 deletions app/transliteration/__init__.py
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from .xlit_src import XlitEngine
from .__metadata import *
1 change: 1 addition & 0 deletions app/transliteration/__metadata.py
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__version__ = "1.1.3"
1 change: 1 addition & 0 deletions app/transliteration/rnn/__init__.py
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from .engine import XlitEngineRNN
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