Create app.py

app.py

@@ -0,0 +1,60 @@
+import streamlit as st
+from transformers import pipeline
+
+# Function to initialize the translation pipeline
+@st.cache_resource
+def load_translation_pipeline(source_lang, target_lang):
+    model_name = f"Helsinki-NLP/opus-mt-{source_lang}-{target_lang}"
+    return pipeline("translation", model=model_name)
+
+# Function to perform translation
+def translate_text(text, source_lang, target_lang):
+    translator = load_translation_pipeline(source_lang, target_lang)
+    translated = translator(text, max_length=512)
+    return translated[0]['translation_text']
+
+# Streamlit app
+st.title("Language Translation App")
+st.markdown("Translate text quickly between multiple languages using open-source models.")
+
+# Input text area
+text_to_translate = st.text_area("Enter text to translate:", placeholder="Type here...", height=150)
+
+# Language selection options
+languages = {
+    "English": "en",
+    "French": "fr",
+    "German": "de",
+    "Spanish": "es",
+    "Italian": "it",
+    "Chinese": "zh",
+    "Hindi": "hi"
+}
+
+# Select source and target languages
+source_language = st.selectbox("Select source language:", list(languages.keys()))
+target_language = st.selectbox("Select target language:", list(languages.keys()))
+
+# Get language codes
+source_lang_code = languages[source_language]
+target_lang_code = languages[target_language]
+
+# Translate button
+if st.button("Translate"):
+    if not text_to_translate.strip():
+        st.warning("Please enter some text to translate.")
+    elif source_lang_code == target_lang_code:
+        st.warning("Source and target languages must be different.")
+    else:
+        try:
+            translation = translate_text(text_to_translate, source_lang_code, target_lang_code)
+            st.success("Translation completed!")
+            st.text_area("Translated Text:", translation, height=150, disabled=True)
+        except Exception as e:
+            st.error(f"An error occurred during translation: {str(e)}")
+
+# Footer
+st.markdown("---")
+st.markdown(
+    "**Note:** This app uses Hugging Face's Helsinki-NLP models for translation. These models are open-source and ideal for various language translation tasks."
+)