Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+from langdetect import detect
+
+# Title of the app
+st.title("Language Translator App")
+
+# Available translation models
+MODELS = {
+    "English to German": "Helsinki-NLP/opus-mt-en-de",
+    "German to English": "Helsinki-NLP/opus-mt-de-en",
+    "English to French": "Helsinki-NLP/opus-mt-en-fr",
+    "French to English": "Helsinki-NLP/opus-mt-fr-en",
+    "English to Spanish": "Helsinki-NLP/opus-mt-en-es",
+    "Spanish to English": "Helsinki-NLP/opus-mt-es-en",
+    "English to Chinese": "Helsinki-NLP/opus-mt-en-zh",
+    "Chinese to English": "Helsinki-NLP/opus-mt-zh-en",
+    "English to Russian": "Helsinki-NLP/opus-mt-en-ru",
+    "Russian to English": "Helsinki-NLP/opus-mt-ru-en",
+    "English to Arabic": "Helsinki-NLP/opus-mt-en-ar",
+    "Arabic to English": "Helsinki-NLP/opus-mt-ar-en",
+    "English to Hindi": "Helsinki-NLP/opus-mt-en-hi",
+    "Hindi to English": "Helsinki-NLP/opus-mt-hi-en",
+}
+
+# Sidebar for model selection
+st.sidebar.header("Settings")
+translation_direction = st.sidebar.selectbox(
+    "Choose translation direction",
+    list(MODELS.keys())
+)
+
+# Load the translation pipeline
+@st.cache_resource
+def load_translator(model_name):
+    return pipeline("translation", model=model_name)
+
+translator = load_translator(MODELS[translation_direction])
+
+# Input text area
+st.header("Enter Text to Translate")
+input_text = st.text_area("Input Text", "Hello, how are you?")
+
+# Detect language
+if input_text.strip() != "":
+    try:
+        detected_lang = detect(input_text)
+        st.subheader("Detected Language")
+        st.write(f"The detected language is: **{detected_lang}**")
+    except Exception as e:
+        st.error(f"Language detection failed: {e}")
+
+# Translate button
+if st.button("Translate"):
+    if input_text.strip() == "":
+        st.warning("Please enter some text to translate.")
+    else:
+        with st.spinner("Translating..."):
+            try:
+                translation = translator(input_text)
+                translated_text = translation[0]['translation_text']
+                st.success("Translation Complete!")
+                st.subheader("Translated Text")
+                st.write(translated_text)
+            except Exception as e:
+                st.error(f"Translation failed: {e}")