app.py

from huggingface_hub import InferenceClient
import gradio as gr

# Ensure your Hugging Face API key is correctly set up in your environment or passed here
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")

def translate_text(input_text, target_language):
    prompt = f"Translate the following text into {target_language}: {input_text}"
    try:
        response = client(text=prompt)
        # Depending on the model's response structure, adjust the following line:
        translated_text = response[0]['generated_text'] if 'generated_text' in response[0] else "Translation error or model response format has changed."
    except Exception as e:
        translated_text = f"Error: {str(e)}"
    return translated_text

iface = gr.Interface(
    fn=translate_text,
    inputs=[
        gr.Textbox(label="Text to Translate", placeholder="Enter the text you want to translate here..."),
        gr.Textbox(label="Target Language", placeholder="Enter the target language (e.g., French, Spanish)..."),
    ],
    outputs=gr.Textbox(label="Translated Text"),
    title="Simple Translator with Mixtral",
    description="Translate text to your specified language using the Mixtral model from Hugging Face."
)

iface.launch()