Duplicate from abidlabs/english_to_spanish

Co-authored-by: Abubakar Abid <abidlabs@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+title: English_to_spanish
+emoji: ⚡
+colorFrom: pink
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.1.7
+app_file: app.py
+pinned: false
+duplicated_from: abidlabs/english_to_spanish
+---
+
+# Configuration
+
+`title`: _string_  
+Display title for the Space
+
+`emoji`: _string_  
+Space emoji (emoji-only character allowed)
+
+`colorFrom`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+
+`colorTo`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+
+`sdk`: _string_  
+Can be either `gradio` or `streamlit`
+
+`sdk_version` : _string_  
+Only applicable for `streamlit` SDK.  
+See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
+
+`app_file`: _string_  
+Path to your main application file (which contains either `gradio` or `streamlit` Python code).  
+Path is relative to the root of the repository.
+
+`pinned`: _boolean_  
+Whether the Space stays on top of your list.

app.py

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+import gradio as gr
+
+from transformers import pipeline
+
+pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es")
+
+def predict(text):
+  return pipe(text)[0]["translation_text"]
+  
+title = "English to Spanish Translation (forked from osanseviero/test_gradio)"
+
+iface = gr.Interface(
+  fn=predict, 
+  inputs=[gr.inputs.Textbox(label="text", lines=3)],
+  outputs='text',
+  title=title,
+  examples=[["Hello! My name is Abubakar"], ["How are you?"]]
+)
+
+iface.launch()

requirements.txt

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+sentencepiece
+transformers
+torch