Update app.py

app.py

@@ -1,2 +1,37 @@
- 
-(COPY AND PASTE YOUR SCRIPT HERE)
+ import gradio as gr
+from transformers import pipeline
+
+# Load the sentiment analysis pipeline
+model_name = "monsifnadir/DarijaBERT-Sentiment"  # Remplacez par le bon modèle si nécessaire
+sentiment_pipeline = pipeline("text-classification", model=model_name)
+
+# Mapping des labels Hugging Face vers des catégories de sentiments compréhensibles
+label_map = {
+    "LABEL_0": "Negative",
+    "LABEL_1": "Neutral",
+    "LABEL_2": "Positive"
+}
+
+def classify_text(text):
+    """Analyse le sentiment du texte."""
+    result = sentiment_pipeline(text)
+    label = result[0]["label"]
+    score = result[0]["score"]
+    
+    # Convertir le label en catégorie de sentiment
+    sentiment = label_map.get(label, "Unknown")
+    return f"Sentiment: {sentiment} (Confidence: {score:.2f})"
+
+# Interface Gradio
+iface = gr.Interface(
+    fn=classify_text,
+    inputs=gr.Textbox(lines=2, placeholder="Enter a Darija sentence..."),
+    outputs="text",
+    title="Darija Sentiment Analysis",
+    description="Enter a text in Darija to analyze its sentiment (Positive, Negative, Neutral)."
+)
+
+# Lancer l’application
+iface.launch()
+
+