Question

make an AI that predicts the language an inputted sentence is written in.
english = "Hello world. I am an english sentence that should predict english. Did I get it right?"
french = "Dans cette ville pittoresque, les ruelles étroites regorgent de charme et d'histoire. Les cafés animés invitent à la détente, offrant un délicieux café accompagné de pâtisseries fraîches. Les habitants chaleureux accueillent les visiteurs avec un sourire amical"
portugeese = "Na tranquila tarde de domingo, sob o céu azul e o sol brilhante, as crianças brincavam alegremente no parque, enquanto os adultos desfrutavam de um delicioso piquenique à sombra das árvores frondosas, criando memórias preciosas que perdurariam para sempre"
spanish = "En el resplandeciente y cálido atardecer de un día de verano, mientras las olas del mar acariciaban suavemente la dorada arena de la playa y las gaviotas revoloteaban en el cielo despejado, un grupo de amigos se reunió alrededor de una fogata crepitante, compartiendo historias emocionantes,"
italian = "Nella calda e tranquilla giornata d'estate, tra i dolci suoni delle cicale e il profumo dei fiori in fiore, una famiglia si riunì nel cortile ombreggiato sotto una pergola coperta di viti, dove condivisero un pranzo abbondante, chiacchierando animatamente,"
german = "Am Wochenende fahren wir oft in die Berge, um die frische Luft und die atemberaubende Natur zu genießen."
swedish = "På morgonen vaknade jag upp till ljudet av fåglarnas sång och doften av nybryggt kaffe."

Answer 1

To create an AI model that predicts the language of an inputted sentence, we can use a simple approach by leveraging pre-trained models or libraries that support language detection. One popular library for language detection in Python is `langdetect`, which is based on Google's language-detection library.

Here's a step-by-step approach for implementing this in Python:

### Step 1: Install Required Libraries

You will need to install the `langdetect` library. You can do this using pip:

```bash
pip install langdetect
```

### Step 2: Basic Language Detection Function

Here’s a simple implementation of a function that uses `langdetect` to predict the language of an inputted sentence:

```python
from langdetect import detect, DetectorFactory

# Fix the seed for reproducibility
DetectorFactory.seed = 0

def predict_language(sentence):
try:
language_code = detect(sentence)
return language_code
except Exception as e:
return str(e)

# Test the function with given sentences
english = "Hello world. I am an English sentence that should predict English. Did I get it right?"
french = "Dans cette ville pittoresque, les ruelles étroites regorgent de charme et d'histoire. Les cafés animés invitent à la détente, offrant un délicieux café accompagné de pâtisseries fraîches. Les habitants chaleureux accueillent les visiteurs avec un sourire amical."
portuguese = "Na tranquila tarde de domingo, sob o céu azul e o sol brilhante, as crianças brincavam alegremente no parque, enquanto os adultos desfrutavam de um delicioso piquenique à sombra das árvores frondosas, criando memórias preciosas que perdurariam para sempre."
spanish = "En el resplandeciente y cálido atardecer de un día de verano, mientras las olas del mar acariciaban suavemente la dorada arena de la playa y las gaviotas revoloteaban en el cielo despejado, un grupo de amigos se reunió alrededor de una fogata crepitante, compartiendo historias emocionantes."
italian = "Nella calda e tranquilla giornata d'estate, tra i dolci suoni delle cicale e il profumo dei fiori in fiore, una famiglia si riunì nel cortile ombreggiato sotto una pergola coperta di viti, dove condivisero un pranzo abbondante, chiacchierando animatamente."
german = "Am Wochenende fahren wir oft in die Berge, um die frische Luft und die atemberaubende Natur zu genießen."
swedish = "På morgonen vaknade jag upp till ljudet av fåglarnas sång och doften av nybryggt kaffe."

# Create a test list
sentences = [english, french, portuguese, spanish, italian, german, swedish]

# Print detected languages
for sentence in sentences:
print(f"Sentence: {sentence}\nDetected Language: {predict_language(sentence)}\n")
```

### Step 3: Understanding the Output

The `predict_language` function utilizes the `langdetect` library to identify the language of the inputted sentence and returns the language code (e.g., 'en' for English, 'fr' for French, etc.). Note that the language codes follow the ISO 639-1 standard.

### Example Output

For the given sentences, the output will look something like this:

```
Sentence: Hello world. I am an English sentence that should predict English. Did I get it right?
Detected Language: en

Sentence: Dans cette ville pittoresque, les ruelles étroites regorgent de charme et d'histoire. Les cafés animés invitent à la détente, offrant un délicieux café accompagné de pâtisseries fraîches. Les habitants chaleureux accueillent les visiteurs avec un sourire amical.
Detected Language: fr

Sentence: Na tranquila tarde de domingo, sob o céu azul e o sol brilhante, as crianças brincavam alegremente no parque, enquanto os adultos desfrutavam de um delicioso piquenique à sombra das árvores frondosas, criando memórias preciosas que perdurariam para sempre.
Detected Language: pt

...
```

### Notes

- Ensure that the sentences you input are complete and contextually rich for better language detection accuracy.
- The library can detect many languages, but it might not perform well on very short or ambiguous sentences.