Update app.py

app.py

@@ -2,20 +2,16 @@ import gradio as gr
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
 # Load the tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("mohamedtolba/franco-arabics")
-model = AutoModelForSeq2SeqLM.from_pretrained("mohamedtolba/franco-arabics")
+tokenizer = AutoTokenizer.from_pretrained("mohamedtolba/franco-arabic")
+model = AutoModelForSeq2SeqLM.from_pretrained("mohamedtolba/franco-arabic")
 
 def translate_text(text):
-    print(f"Input text: {text}")
     # Tokenize the input text
     inputs = tokenizer(text, return_tensors="pt", truncation=True)
-    print(f"Tokenized inputs: {inputs}")
     # Generate the output text
     outputs = model.generate(**inputs)
-    print(f"Generated outputs: {outputs}")
     # Decode the generated text
     translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
-    print(f"Translated text: {translated_text}")
     return translated_text
 
 # Create the Gradio interface
@@ -24,8 +20,9 @@ iface = gr.Interface(
     inputs=gr.Textbox(lines=2, placeholder="Enter Franco-Arabic text here..."),
     outputs="text",
     title="Franco-Arabic to Arabic Translator",
-    description="Translate Franco-Arabic text to Arabic using the mohamedtolba/franco-arabics model."
+    description="Translate Franco-Arabic text to Arabic using the mohamedtolba/franco-arabic model."
 )
 
 if __name__ == "__main__":
     iface.launch()
+