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Create app.py
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app.py
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "DiscoResearch/DiscoLM_German_7b_v1"
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model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
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tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
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def generate_answer(question):
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inputs = tokenizer.encode("Question: " + question, return_tensors="pt")
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outputs = model.generate(inputs, max_length=2000, num_return_sequences=1, do_sample=True)
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answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return answer
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iface = gr.Interface(
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fn=generate_answer,
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inputs="text",
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outputs="text",
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title="The Art of Prompt Engineering",
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description="Definiere deine Prompt, am besten auf Deutsch",
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)
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iface.launch(share=True) # Deploy the interface
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