| import gradio as gr |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
|
|
| |
| model_name = "khaled123/hf" |
| tokenizer = AutoTokenizer.from_pretrained(model_name) |
| model = AutoModelForCausalLM.from_pretrained(model_name) |
|
|
| def chat(input_text): |
| inputs = tokenizer(input_text, return_tensors="pt") |
| outputs = model.generate(inputs["input_ids"], max_length=150, num_return_sequences=1) |
| response = tokenizer.decode(outputs[0], skip_special_tokens=True) |
| return response |
|
|
| iface = gr.Interface(fn=chat, |
| inputs="text", |
| outputs="text", |
| title="Chatbot", |
| description="A chatbot using a model") |
|
|
| iface.launch() |
|
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|
|