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Create app.py
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app.py
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
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import gradio as gr
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model_id = "julien31/Soar-qwen-14b"
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tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", trust_remote_code=True)
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generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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def chat(prompt):
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result = generator(prompt, max_new_tokens=256)[0]["generated_text"]
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return result
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iface = gr.Interface(fn=chat, inputs="text", outputs="text", title="Soar Qwen 14B API")
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iface.launch()
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