Create app.py

app.py

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+import streamlit as st
+
+# Set page config FIRST
+st.set_page_config(page_title="Translation App", page_icon="🌎")
+
+from transformers import MarianMTModel, MarianTokenizer
+
+# Language-specific model names
+MODEL_MAPPING = {
+    "French": "Helsinki-NLP/opus-mt-en-fr",
+    "German": "Helsinki-NLP/opus-mt-en-de",
+    "Spanish": "Helsinki-NLP/opus-mt-en-es",
+    "Italian": "Helsinki-NLP/opus-mt-en-it",
+    "Chinese": "Helsinki-NLP/opus-mt-en-zh",
+    "Arabic": "Helsinki-NLP/opus-mt-en-ar",
+    "Hindi": "Helsinki-NLP/opus-mt-en-hi",
+    "Urdu": "Helsinki-NLP/opus-mt-en-ur",
+    "Russian": "Helsinki-NLP/opus-mt-en-ru",
+    "Japanese": "Helsinki-NLP/opus-mt-en-ja",
+}
+
+@st.cache_resource
+def load_model(model_name):
+    tokenizer = MarianTokenizer.from_pretrained(model_name)
+    model = MarianMTModel.from_pretrained(model_name)
+    return tokenizer, model
+
+# Streamlit app UI
+st.title("🌎 Multilingual Translation Application")
+
+st.write("Enter your question or information below and select target languages:")
+
+# Input text
+input_text = st.text_area("Your Question or Information", height=150)
+
+# Language selection
+selected_languages = st.multiselect("Select languages to translate into", list(MODEL_MAPPING.keys()))
+
+# Translate button
+if st.button("Translate"):
+    if not input_text:
+        st.warning("Please enter some text to translate.")
+    elif not selected_languages:
+        st.warning("Please select at least one language.")
+    else:
+        for lang in selected_languages:
+            model_name = MODEL_MAPPING.get(lang)
+            if model_name:
+                try:
+                    # Load model for selected language
+                    tokenizer, model = load_model(model_name)
+                    # Perform translation
+                    translated = model.generate(**tokenizer(input_text, return_tensors="pt", padding=True))
+                    output_text = tokenizer.decode(translated[0], skip_special_tokens=True)
+
+                    st.subheader(f"Translation in {lang}:")
+                    st.success(output_text)
+                except Exception as e:
+                    st.error(f"Error translating to {lang}: {str(e)}")
+            else:
+                st.error(f"No model available for {lang}")