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app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load models locally on the Hugging Face Space server
+# Note: In a real space, you can also use Inference Endpoints for even more speed
+models = {
+    "Spanish": pipeline("translation_en_to_es", model="Helsinki-NLP/opus-mt-en-es"),
+    "German": pipeline("translation_en_to_de", model="Helsinki-NLP/opus-mt-en-de"),
+    "Japanese": pipeline("translation_en_to_ja", model="staka/fugumt-en-ja")
+}
+
+def translate(text, language):
+    if not text:
+        return "Please enter an English sentence."
+    
+    # Perform translation using the selected model
+    result = models[language](text)
+    return result[0]['translation_text']
+
+# Create the Gradio interface
+with gr.Blocks(title="Short Translation Web App") as demo:
+    gr.Markdown("# Short Translation")
+    
+    with gr.Row():
+        with gr.Column(scale=2):
+            input_text = gr.Textbox(
+                label="English Sentence", 
+                placeholder="Type your English sentence here...",
+                lines=2
+            )
+            with gr.Row():
+                translate_btn = gr.Button("Translate", variant="primary")
+                clear_btn = gr.Button("Clear")
+        
+        with gr.Column(scale=1):
+            lang_radio = gr.Radio(
+                choices=["Spanish", "German", "Japanese"], 
+                label="Translation Language",
+                value="Spanish"
+            )
+    
+    # Output area styled to resemble the maroon box (using Gradio's color system)
+    output_text = gr.Textbox(
+        label="Translation", 
+        interactive=False,
+        container=True,
+        elem_id="output-box"
+    )
+
+    # Custom CSS to mimic the maroon look from the Tkinter app
+    demo.css = """
+    #output-box textarea {
+        background-color: #800000 !important;
+        color: white !important;
+        font-size: 1.2em !important;
+        font-weight: bold !important;
+        text-align: center !important;
+    }
+    """
+
+    # Define button actions
+    translate_btn.click(fn=translate, inputs=[input_text, lang_radio], outputs=output_text)
+    clear_btn.click(fn=lambda: ("", ""), inputs=None, outputs=[input_text, output_text])
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+transformers
+torch
+sentencepiece