app.py

import gradio as gr
from transformers import pipeline

# Load a multilingual zero-shot classification model that supports French
classifier = pipeline("zero-shot-classification", model="joeddav/xlm-roberta-large-xnli")

# Skill classification function in French
def classify_skills(text_input, candidate_labels):
    labels = [label.strip() for label in candidate_labels.split(',')]
    prediction = classifier(text_input, candidate_labels=labels)
    
    # Formatting output as a dictionary of skills and confidence scores
    output = {prediction['labels'][i]: prediction['scores'][i] for i in range(len(prediction['labels']))}
    return output

# Examples related to skill classification in French
examples = [["Je maîtrise l'utilisation d'Excel et d'autres outils bureautiques", "compétence bureautique, programmation, gestion de projet"]]

# Custom CSS to give a distinct look and feel
css = """
footer {display:none !important}
.output-markdown{display:none !important}
.gr-button-primary {
    z-index: 14;
    height: 43px;
    width: 130px;
    left: 0px;
    top: 0px;
    padding: 0px;
    cursor: pointer !important; 
    background: #112c45 !important;
    border: none !important;
    text-align: center !important;
    font-family: Poppins !important;
    font-size: 14px !important;
    font-weight: 500 !important;
    color: #ffffff !important;
    line-height: 1 !important;
    border-radius: 12px !important;
    transition: box-shadow 200ms ease 0s, background 200ms ease 0s !important;
    box-shadow: none !important;
}
.gr-button-primary:hover{
    background: #4285F4 !important;
    box-shadow: 0px 1px 7px 0px rgba(0, 0, 0, 0.23) !important;
}
"""

# Gradio interface for skill classification in French
demo = gr.Interface(
    fn=classify_skills, 
    inputs=[gr.Textbox(label="Texte à classifier"), gr.Textbox(label="Compétences potentielles (séparées par des virgules)")], 
    outputs=gr.Label(label="Résultat de Classification des Compétences"), 
    title="Classification des Compétences | Modèle Multilingue", 
    examples=examples, 
    css=css
)

# Launch the interface
demo.launch()