|
|
| from transformers import AutoTokenizer, AutoModelForCausalLM |
| import gradio as gr |
|
|
| tokenizer = AutoTokenizer.from_pretrained("huggyllama/llama-7b") |
| model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-7b") |
|
|
| def chatbot_response(input_text): |
| inputs = tokenizer(input_text, return_tensors="pt") |
| outputs = model.generate(inputs['input_ids'], max_length=200, num_return_sequences=1) |
| response = tokenizer.decode(outputs[0], skip_special_tokens=True) |
| return response |
|
|
| interface = gr.Interface(fn=chatbot_response, inputs="text", outputs="text", live=True) |
|
|
| interface.launch() |
|
|
