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| import gradio as gr | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| # Load a pretrained AI model (Mistral-7B or any Hugging Face model) | |
| model_name = "gpt2" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto") | |
| # AI Chatbot function | |
| def chat_with_ai(prompt): | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_new_tokens=100) | |
| return tokenizer.decode(outputs[0]) | |
| # Create a simple chatbot UI using Gradio | |
| interface = gr.Interface(fn=chat_with_ai, inputs="text", outputs="text", title="AI Chatbot") | |
| interface.launch() | |