Update app.py

app.py

@@ -1,106 +1,3 @@
-# import os
-# from huggingface_hub import InferenceClient
-# import gradio as gr
-
-# # Initialize the client with the correct provider
-# HF_TOKEN = os.environ.get("HF_TOKEN", None)
-# client = InferenceClient(
-#     provider="hf-inference",
-#     api_key=HF_TOKEN
-# )
-
-# def translate_text(text, src_lang, tgt_lang):
-#     """
-#     Function to handle translation using the MBART model
-#     """
-#     if not text.strip():
-#         return "Please enter text to translate"
-    
-#     try:
-#         # Use the translation method with model-specific parameters
-#         result = client.translation(
-#             text,
-#             model="facebook/mbart-large-50-many-to-many-mmt",
-#             src_lang=src_lang,  # Source language code
-#             tgt_lang=tgt_lang   # Target language code
-#         )
-#         return result
-        
-#     except Exception as e:
-#         return f"Error in translation: {str(e)}"
-
-# # Create the Gradio interface
-# with gr.Blocks(title="Multilingual Translation Chatbot", theme="soft") as demo:
-#     gr.Markdown("# 🌍 Multilingual Translation Chatbot")
-#     gr.Markdown("Translate between 50 languages using facebook/mbart-large-50-many-to-many-mmt")
-    
-#     with gr.Row():
-#         with gr.Column():
-#             src_lang = gr.Dropdown(
-#                 choices=[
-#                     "ar_AR", "en_XX", "fr_XX", "es_XX", "de_DE", 
-#                     "zh_CN", "hi_IN", "ru_RU", "ja_XX", "pt_XX", "it_IT"
-#                 ],
-#                 value="ru_RU",
-#                 label="Source Language Code"
-#             )
-#             input_text = gr.Textbox(
-#                 lines=4,
-#                 placeholder="Enter text to translate...",
-#                 label="Input Text",
-#                 value="Меня зовут Вольфганг и я живу в Берлине"
-#             )
-        
-#         with gr.Column():
-#             tgt_lang = gr.Dropdown(
-#                 choices=[
-#                     "ar_AR", "en_XX", "fr_XX", "es_XX", "de_DE", 
-#                     "zh_CN", "hi_IN", "ru_RU", "ja_XX", "pt_XX", "it_IT"
-#                 ],
-#                 value="en_XX",
-#                 label="Target Language Code"
-#             )
-#             output_text = gr.Textbox(
-#                 lines=4,
-#                 label="Translation",
-#                 interactive=False
-#             )
-    
-#     # Translate button
-#     translate_btn = gr.Button("Translate 🌐", variant="primary")
-#     translate_btn.click(
-#         fn=translate_text,
-#         inputs=[input_text, src_lang, tgt_lang],
-#         outputs=output_text
-#     )
-    
-#     # Examples for quick testing
-#     gr.Examples(
-#         examples=[
-#             ["Меня зовут Вольфганг и я живу в Берлине", "ru_RU", "en_XX"],
-#             ["Hello, how are you today?", "en_XX", "es_XX"],
-#             ["Bonjour, comment ça va?", "fr_XX", "en_XX"],
-#             ["今天天气很好", "zh_CN", "en_XX"]
-#         ],
-#         inputs=[input_text, src_lang, tgt_lang]
-#     )
-    
-#     # Clear button
-#     clear_btn = gr.Button("Clear")
-#     clear_btn.click(
-#         fn=lambda: ["", "ru_RU", "en_XX", ""],
-#         outputs=[input_text, src_lang, tgt_lang, output_text]
-#     )
-
-#     print("hellow")
-
-# # Launch the interface
-# if __name__ == "__main__":
-#     demo.launch(share=True)
-
-
-
-
 import os
 from huggingface_hub import InferenceClient
 import gradio as gr