Delete main.py

main.py

@@ -1,38 +0,0 @@
-import gradio as gr
-from transformers import MarianMTModel, MarianTokenizer
-
-# Define the translator function
-def translate_text(text, target_language):
-    model_name = {
-        "Spanish": "Helsinki-NLP/opus-mt-en-es",
-        "French": "Helsinki-NLP/opus-mt-en-fr",
-        "Italian": "Helsinki-NLP/opus-mt-en-it",
-        "Ukrainian": "Helsinki-NLP/opus-mt-en-uk",
-    }
-
-    tokenizer = MarianTokenizer.from_pretrained(model_name[target_language])
-    model = MarianMTModel.from_pretrained(model_name[target_language])
-
-    # Tokenize the input text
-    input_tokens = tokenizer(text, return_tensors="pt")
-
-    # Generate translated tokens
-    translated_tokens = model.generate(**input_tokens)
-
-    # Decode the translated tokens
-    translated_text = tokenizer.decode(translated_tokens[0], skip_special_tokens=True)
-
-    return translated_text
-
-# Define the Gradio interface
-language_options = ["Spanish", "French", "Italian", "Ukrainian"]
-inputs = [
-    gr.inputs.Textbox(lines=5, label="Enter text to translate:"),
-    gr.inputs.Dropdown(choices=language_options, label="Select target language:"),
-]
-outputs = gr.outputs.Textbox(label="Translated text:")
-
-iface = gr.Interface(fn=translate_text, inputs=inputs, outputs=outputs, title="Language Translator")
-
-# Launch the Hugging Face Spaces app
-iface.launch()