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| import gradio as gr | |
| import time | |
| import ctypes #to run on C api directly | |
| import llama_cpp | |
| from llama_cpp import Llama | |
| from huggingface_hub import hf_hub_download #load from huggingfaces | |
| llm = Llama(model_path= hf_hub_download(repo_id="TheBloke/airoboros-l2-13b-gpt4-m2.0-GGML", filename="airoboros-l2-13b-gpt4-m2.0.ggmlv3.q6_K.bin"), n_ctx=2048) #download model from hf/ n_ctx=2048 for high ccontext length | |
| description = " Bro i dont want learn! i just want results(https://github.com/abetlen/llama-cpp-python)" | |
| def generate_text(input_text): | |
| output = llm("Q: {input_text} \n A:", max_tokens=1024, stop=["Q:", "\n"], echo=True,) | |
| return output['choices'][0]['text'] | |
| input_text = gr.inputs.Textbox(lines= 10, label="Enter your input text") | |
| output_text = gr.outputs.Textbox(label="Output text") | |
| demo = gr.Interface(fn=generate_text, inputs=input_text, outputs=output_text, title="Running Llama on CPU is Hard", description=description) | |
| demo.launch() | |