Create app.py

app.py

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+import torch
+import gradio as gr
+import json
+from transformers import pipeline
+
+# Load translation model
+text_translator = pipeline("translation", model="facebook/nllb-200-distilled-600M", torch_dtype=torch.bfloat16)
+
+# Load language data
+with open('language.json', 'r') as file:
+    language_data = json.load(file)
+
+def get_FLORES_code_from_language(language):
+    for entry in language_data:
+        if entry['Language'].lower() == language.lower():
+            return entry['FLORES-200 code']
+    return None
+
+def translate_text(text, destination_language):
+    dest_code = get_FLORES_code_from_language(destination_language)
+    if not dest_code:
+        return "Language code not found. Please try again."
+    translation = text_translator(text, src_lang="eng_Latn", tgt_lang=dest_code)
+    return translation[0]["translation_text"]
+
+# Gradio layout with default theme
+description_text = """
+# Multi-Language Translator  
+Translate English text into multiple languages easily and efficiently.  
+
+### Credits:  
+Made by Taizun S
+"""
+
+with gr.Blocks() as demo:
+    gr.Markdown(description_text)
+    with gr.Row():
+        with gr.Column():
+            input_text = gr.Textbox(label="Input English Text", placeholder="Type your text here...", lines=6)
+            destination_language = gr.Dropdown(["German", "French", "Hindi", "Romanian", "Arabic"], 
+                                               label="Select Language")
+            submit_button = gr.Button("Translate")
+        with gr.Column():
+            output_text = gr.Textbox(label="Translated Text", placeholder="Your translation appears here...", lines=4)
+
+    # Link the components
+    submit_button.click(fn=translate_text, inputs=[input_text, destination_language], outputs=[output_text])
+
+demo.launch()