Delete app.py

app.py

@@ -1,34 +0,0 @@
-import streamlit as st
-from transformers import MarianMTModel, MarianTokenizer
-
-# Load pre-trained multilingual model and tokenizer
-model_name = 'Helsinki-NLP/opus-mt-mul-de'  # Multilingual to German model
-model = MarianMTModel.from_pretrained(model_name)
-tokenizer = MarianTokenizer.from_pretrained(model_name)
-
-# Function to translate text
-def translate_text(text):
-    # Tokenize input text
-    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
-
-    # Translate and decode
-    translated = model.generate(**inputs)
-    translated_text = tokenizer.decode(translated[0], skip_special_tokens=True)
-    return translated_text
-
-# Streamlit app layout
-st.title("Real-Time Urdu to German Translation")
-st.write("Enter Urdu text below, and the app will translate it into German.")
-
-# Input text area for Urdu text
-input_text = st.text_area("Urdu Text", "", height=200)
-
-# Translate when the button is pressed
-if st.button("Translate"):
-    if input_text:
-        # Translate the text
-        translated_text = translate_text(input_text)
-        st.subheader("Translated German Text:")
-        st.write(translated_text)
-    else:
-        st.write("Please enter some Urdu text to translate.")