Update requirements.txt to:gradio

requirements.txt to:gradio

@@ -1,30 +1,2 @@
-import gradio as gr
-from transformers import MarianMTModel, MarianTokenizer
-
-# Load model and tokenizer
-model_name = "Helsinki-NLP/opus-mt-en-ml"
-tokenizer = MarianTokenizer.from_pretrained(model_name)
-model = MarianMTModel.from_pretrained(model_name)
-
-# Translation function
-def translate(text):
-    if not text.strip():
-        return "Please enter text."
-
-    inputs = tokenizer(text, return_tensors="pt", padding=True)
-    translated = model.generate(**inputs)
-    output = tokenizer.decode(translated[0], skip_special_tokens=True)
-    
-    return output
-
-# Gradio UI
-interface = gr.Interface(
-    fn=translate,
-    inputs=gr.Textbox(lines=4, placeholder="Enter English text here..."),
-    outputs=gr.Textbox(label="Malayalam Translation"),
-    title="English to Malayalam Translator",
-    description="Simple Malayalam translator using Hugging Face Transformers."
-)
-
-if __name__ == "__main__":
-    interface.launch()
+gradio
+googletrans==4.0.0-rc1