Create app.py

app.py

@@ -0,0 +1,57 @@
+import streamlit as st
+from transformers import MarianMTModel, MarianTokenizer, pipeline
+
+# Set page configuration
+st.set_page_config(page_title="Language Translation App", layout="centered")
+
+# Title of the app
+st.title("🌍 Language Translation App")
+st.markdown("""
+**Purpose**: Translate text between multiple languages  
+**Use Case**: Help users who want to learn or speak different languages or communicate with others in their preferred language.
+""")
+
+# Language mapping to language codes
+language_mapping = {
+    "English": "en",
+    "French": "fr",
+    "German": "de",
+    "Hindi": "hi",
+    "Spanish": "es",
+    "Italian": "it",
+}
+
+# Language pair selection
+source_lang = st.selectbox("Select Source Language", list(language_mapping.keys()))
+target_lang = st.selectbox("Select Target Language", list(language_mapping.keys()))
+
+# Correctly construct the model name for Hugging Face
+model_name = f"Helsinki-NLP/opus-mt-{language_mapping[source_lang]}-{language_mapping[target_lang]}"
+
+# Function to load the translation model
+@st.cache_resource
+def load_pipeline(model_name):
+    try:
+        model = MarianMTModel.from_pretrained(model_name)
+        tokenizer = MarianTokenizer.from_pretrained(model_name)
+        return pipeline("translation", model=model, tokenizer=tokenizer)
+    except Exception as e:
+        st.error(f"Error loading model: {e}")
+        return None
+
+# Initialize the translator
+translator = load_pipeline(model_name)
+
+# Text input field for translation
+text_input = st.text_area("Enter text to translate", height=150)
+
+# Translate and display result
+if st.button("Translate"):
+    if text_input.strip():
+        with st.spinner("Translating..."):
+            result = translator(text_input)
+            translated_text = result[0]['translation_text']
+            st.success("Translation complete!")
+            st.text_area("Translated Text", translated_text, height=150)
+    else:
+        st.warning("Please enter some text to translate.")