Upload app.py

app.py

@@ -34,7 +34,6 @@ model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
 
 def respond(
     message: str,
-    history: list[tuple[str, str]],
     system_message: str,
     max_tokens: int = 128,
     temperature: float = 1.0,
@@ -87,27 +86,6 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 #     ],
 # )
 
-# Function to process translation
-def respond_google_translate(
-    source_text,
-    system_message,
-    max_tokens,
-    temperature,
-    top_p
-):
-    # Call the respond function and collect the final response
-    result = ""
-    for token in respond(
-        message=source_text,
-        history=[],
-        system_message=system_message,
-        max_tokens=max_tokens,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        result += token  # Accumulate the tokens
-    return result
-
 # Define the interface
 with gr.Blocks() as demo:
     gr.Markdown("# Google Translate-like Interface")
@@ -149,7 +127,6 @@ with gr.Blocks() as demo:
         respond,
         inputs=[
             source_textbox,
-            None,
             system_message_input,
             max_tokens_slider,
             temperature_slider,