# from huggingface_hub import InferenceClient

# model_name = "Qwen/Qwen2.5-72B-Instruct"

# client = InferenceClient(model_name)

# def llm_inference(user_sample):
#   output = client.chat.completions.create(
#           messages=[
#               {"role": "system", "content": "you are a university english grammar teacher\n"
#                                             "answer the questions based on english grammar, IELTS (International English Language Testing System)\n"
#                                             "and top-rated universities in english speaking countries especially where english is an official language\n"
#                                             "if there are other questions which do not connected with these topics: grammar, IELTS and top-rated English universities write that you cannot provide an answer\n"
#                                             "answer in a formal way using B2-C1 (upper-intermediate and advanced level of English) without colloquial phrases, slang and so on\n"
#                                             "your answer must be no more than 50 words"
#               },
#               {"role": "user",
#               "content": f"answer the question based on these topics: english grammar, IELTS and top-rated universities {user_sample}"},
#           ],
#           stream=False,
#           max_tokens=128,
#           temperature=0.5,
#           top_p=0.1
#           )
#   return output.choices[0].get('message')['content']

# import gradio as gr

# interface = gr.Interface(fn=llm_inference,
#                         inputs=gr.Textbox(lines=2, placeholder="Write your question here..."),
#                         outputs="text",
#                         css=".gradio-container {background-image: url('https://i.pinimg.com/originals/9b/6a/a8/9b6aa8867dbe29f2d475b7a550e06490.jpg')}",
#                         title="ASK A QUESTION BASED ON ENGLISH GRAMMAR, IELTS OR TOP-RATED UNIVERSITIES")

# interface.launch(debug=True)