Update app.py

app.py

@@ -0,0 +1,47 @@
+pip install streamlit transformers
+import streamlit as st
+from transformers import pipeline
+
+# Load the translation pipeline from Hugging Face
+@st.cache_resource
+def load_translation_pipeline(model_name="Helsinki-NLP/opus-mt-en-ROMANCE"):
+    return pipeline("translation", model=model_name)
+
+# Function to translate text
+def translate_text(translation_pipeline, text, target_language):
+    # Modify the model name to reflect the target language
+    if target_language == "French":
+        translation_pipeline.model_name = "Helsinki-NLP/opus-mt-en-fr"
+    elif target_language == "Spanish":
+        translation_pipeline.model_name = "Helsinki-NLP/opus-mt-en-es"
+    elif target_language == "German":
+        translation_pipeline.model_name = "Helsinki-NLP/opus-mt-en-de"
+    else:
+        st.error("Target language not supported!")
+        return None
+    
+    translation = translation_pipeline(text)
+    return translation[0]['translation_text']
+
+# Streamlit app layout
+st.title("Language Translator")
+
+# Input text to translate
+text = st.text_area("Enter text in English to translate:")
+
+# Select target language
+target_language = st.selectbox(
+    "Select target language:",
+    ["French", "Spanish", "German"]  # Add more languages if needed
+)
+
+# Load the translation pipeline
+translation_pipeline = load_translation_pipeline()
+
+# Translate button
+if st.button("Translate"):
+    if text:
+        translated_text = translate_text(translation_pipeline, text, target_language)
+        if translated_text:
+            st.write(f"**Translated text in {target_language}:**
+streamlit run your_script_name.py