import gradio as gr from transformers import AutoModelForCausalLM, AutoTokenizer import torch # Load the model and tokenizer from Hugging Face model_name = "fahadMizan/chatbot" tokenizer = AutoTokenizer.from_pretrained(model_name) model = AutoModelForCausalLM.from_pretrained(model_name) # Define the chatbot function def chatbot(input_text): inputs = tokenizer(input_text, return_tensors="pt") outputs = model.generate(inputs["input_ids"], max_length=100) response = tokenizer.decode(outputs[0], skip_special_tokens=True) return response # Create the Gradio interface iface = gr.Interface(fn=chatbot, inputs="text", outputs="text", title="Fahad Chatbot", description="A chatbot using the 'fahadMizan/chatbot' model from Hugging Face.") # Launch the app if __name__ == "__main__": iface.launch()