Create app.py

app.py

@@ -0,0 +1,69 @@
+import streamlit as st
+from transformers import MarianMTModel, MarianTokenizer
+
+# Sepecified different languages
+LANGUAGES = {
+    "English" : "en",
+    "French" : 'fr',
+    "German" : "de",
+    "Spanish" : "es",
+    "Italian" : "it",
+    "Portuguese" : "pt",
+    "Russian" : "ru",
+    "Chinese" : "zh",
+    "Japense" : "ja",
+    "Arabic" : "ar",
+}
+
+# Helper function to load the model and tokenizer
+@st.cache_resource
+def load_translation_model(src_lanf, tgt_lang):
+    model_name = f"Helsinki-NLP.opus-mt-{src_lang}-{tgt-lnag}"
+    tokenizer = MarianTokenizer.from_pretrained(model_name)
+    model = MarianMTModel.from_pretrained(model_name)
+    return tokenizer,model
+
+# Translation function
+def translate_text(tokenizer, model, text):
+    inputs = tokenizer(text, return_tensors='pt', padding=True)
+    translated = model.generate(**inputs)
+    return tokenizer.decode(translated[0],skip_special_tokens = True)
+
+#Streamlit App
+st.title("Language Translation APP 🌍")
+st.write("Translate text between multiple language using open-source models.")
+
+#Language selection
+col1, col2 = st.columns(2)
+with col1:
+    source_language = st.selectbox("Select Source Language 🌐", list(LANGUAGES.keys()))
+with col2:
+    target_language = st.selectbox("Select Target Language 🌍",lsit(LANGUAGES.keys()))
+
+#Input Text
+text_to_translate  = st.text_area("Enter text to translate", height=150)
+
+#Translate button
+if st.button("Translate"):
+    if source_language == target_language:
+        st.warning("Source and target language must be different")
+    elif not text_to_translate.strip():
+        st.warning("Please enter some text to translate")
+    else:
+        src_lang = LANGUAGES[source_language]
+        tgt_lang = LANGUAGES[target_language]
+
+        try:
+            #Load model and tokenizer
+            tokenizer, model = load_translation_model(src_lang, tgt_lang)
+
+            #Perform translation
+            translated_text = translate_text(tokenizer, model, text_to_translate)
+
+            # Display result
+            st.subheader("Translate Text 🔄: ")
+            st.write(translate_text)
+
+        except Exception as e:
+            st.error(f"Error :" {str(e)})
+