import gradio as gr
from transformers import AutoModelForCTC, AutoTokenizer
from huggingface_hub import inference_client
from huggingface_hub.modelHub import ModelHubClient

model_hub_client = ModelHubClient()
inference_client = inference_client()

def chatbot(input_text):
    # Load models
    model_name = "your-model-name"
    tokenizer = AutoTokenizer.from_pretrained(model_name)
    model = AutoModelForCTC.from_pretrained(model_name)

    # Generate output
    inputs = tokenizer(input_text, return_tensors="pt")
    outputs = model(**inputs)
    output_text = outputs.logits.argmax(-1)

    # Return output
    return output_text

demov2 = gr.Interface(
    fn=chatbot, 
    inputs="text", 
    outputs="text", 
    title="My Chatbot", 
    description="A chatbot that uses Hugging Face models to respond to user input"
)

demov2.launch()