Reversed back to the last-known good code.

app.py

@@ -1,18 +1,15 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+
 from datasets import load_dataset
 
+"""
+For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
+"""
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 dataset = load_dataset("JustKiddo/KiddosVault")
+translation = load_dataset("IWSLT/mt_eng_vietnamese")
 
-## A translation dataset for Vietnamese responses ##
-translation = load_dataset("mt_eng_vietnamese")
-trust_remote_code=True ## Trust remote code ##
-
-def translate_text(text, translation_dataset):
-    # Assuming the translation dataset has a method to translate text
-    translated_text = translation_dataset['train'][0]['translation']['vi']  # Example translation
-    return translated_text
 
 def respond(
     message,
@@ -42,16 +39,13 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
+
         response += token
         yield response
 
-    translated_response = translate_text(response, translation)
-    yield response + "\n\nTranslation: " + translated_response
-
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
-
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
@@ -68,5 +62,6 @@ demo = gr.ChatInterface(
     ],
 )
 
+
 if __name__ == "__main__":
     demo.launch()