initial commit of a translation app

app.py

@@ -1,7 +1,45 @@
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Import the pipeline
+from transformers import pipeline
+
+# Define the pipeline
+# Note: This pipeline is hosted on the Hugging Face model hub
+# https://huggingface.co/Helsinki-NLP/opus-mt-en-he
+# You can replace this with any other translation pipeline
+# https://huggingface.co/models?filter=translation
+pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-he")
+
+# Define a pipeline for reverse translation
+# Note: This pipeline is hosted on the Hugging Face model hub
+# https://huggingface.co/Helsinki-NLP/opus-mt-he-en
+# You can replace this with any other translation pipeline
+# https://huggingface.co/models?filter=translation
+pipe_reverse = pipeline("translation", model="Helsinki-NLP/opus-mt-he-en")
+
+
+# Define the function
+def predict(text):
+  # Return the translation
+  return pipe(text)[0]["translation_text"]
+
+def predict_reverse(text):
+    # Return the translation
+    return pipe_reverse(text)[0]["translation_text"]
+
+# Define the interface
+iface = gr.Interface(
+  fn=predict, 
+  fn_reverse=predict_reverse,
+  inputs='text',
+  outputs='text',
+    title="English to Hebrew Translator",
+  description="Translate English to Hebrew",
+  examples=[["Hello! My name is Bob."], ["I like to eat apples and banana"]]
+)
+
+
+
+# Launch the interface
+iface.launch()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()