Create app.py

app.py

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+# Use a pipeline as a high-level helper
+from transformers import pipeline
+import torch
+import json
+import gradio as gr
+
+text_translator = pipeline("translation", model="facebook/nllb-200-distilled-600M")
+
+# Load the JSON table
+with open('language.json') as f:
+    language_data = json.load(f)
+
+def get_flores_200_code(language):
+    for code in language_data:
+        if code['Language'] == language:
+            return code['FLORES-200 code']
+    return None
+
+def translate_text(text, destination_language):
+    
+    # text = "Hello friends how are you?"
+    dest_code = get_flores_200_code(destination_language)
+
+    translation = text_translator(text,
+                              src_lang="eng_Latn",
+                              tgt_lang=dest_code)
+    return translation[0]["translation_text"]
+
+gr.close_all()
+
+demo = gr.Interface(fn=translate_text,
+                    inputs=[gr.Textbox(label="Input text to translate",lines=6), gr.Dropdown(["English", "German", "Eastern Panjabi", "Sanskrit", "Urdu", "Tamil", "Telugu",  "Yue Chinese", "Chinese (Simplified)", "Chinese (Traditional)", "Hindi", "French", "Spanish"],label="Select destination language")],
+                    outputs=[gr.Textbox(label="Translated text", lines=4)],
+                    title="@IT AI Enthusiast (https://www.youtube.com/@itaienthusiast/) - Project 4: Multi Language translator",
+                    description="THIS APPLICATION WILL BE USED TO TRANSLATE ANY ENGLISH TO MULTIPLE LANGUAGES",
+                    concurrency_limit=16)
+demo.launch()
+
+# Hello Friends, Welcome to my channel. I hope this video helps you understand AI.
+# "Hello friends how are you?"