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