reverted

app.py

@@ -30,46 +30,16 @@ def normalize(text, lang_choice):
         print("❌ Pipeline error:", e)
         return f"Error: {e}"
 
-# Define example inputs for different languages
-examples = [
-    ["The quick brown fox jumps over the lazy dog. This is a sample text for testing.", "en"],
-    ["Der schnelle braune Fuchs springt über den faulen Hund. Dies ist ein Beispieltext zum Testen.", "de"],
-    ["Le renard brun rapide saute par-dessus le chien paresseux. Ceci est un texte d'exemple pour les tests.", "fr"],
-    ["El zorro marrón rápido salta sobre el perro perezoso. Este es un texto de ejemplo para pruebas.", "es"],
-    ["La volpe marrone veloce salta sopra il cane pigro. Questo è un testo di esempio per i test.", "it"],
-    ["Auto-detect language: Mixed content with English and Français words together!", "Auto-detect"]
-]
-
 demo = gr.Interface(
     fn=normalize,
     inputs=[
-        gr.Textbox(
-            label="Enter Text",
-            placeholder="Type your text here or try one of the examples below...",
-            lines=3
-        ),
-        gr.Dropdown(choices=["Auto-detect"] + LANGUAGES, value="Auto-detect", label="Language")
+        gr.Textbox(label="Enter Text"),
+        gr.Dropdown(choices=LANGUAGES, value="Auto-detect", label="Language")
     ],
-    outputs=gr.Textbox(label="Normalized Output", lines=10),
-    examples=examples,
-    title="🔥 Solr Normalization Pipeline",
-    description="""
-    <div style="text-align: center; margin-bottom: 20px;">
-        <img src="file/logo.jpeg" alt="Logo" style="max-width: 200px; height: auto; border-radius: 8px;">
-    </div>
-    
-    **Solr normalization is intended to give an idea of what kind of normalization is happening behind Impresso.**
-    
-    This demo replicates Solr's text analysis functionality, showing how text is processed through various normalization steps including tokenization, stopword removal, and language-specific analysis.
-    
-    Try the examples below or enter your own text to see how different languages are processed!
-    """,
-    article="""
-    ### About
-    This tool demonstrates the text normalization pipeline used in the Impresso project, which mirrors Apache Solr's text analysis capabilities.
-    """,
-    theme=gr.themes.Soft(),
+    outputs=gr.Textbox(label="Normalized Output"),
+    title="Solr Normalization Pipeline",
+    description="Text normalization replicating Solr functionality.",
     allow_flagging="never"
 )
 
-demo.launch(server_name="0.0.0.0", server_port=7860)
+demo.launch(server_name="0.0.0.0", server_port=7860)