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import gradio as gr | |
from llama_cpp import Llama | |
llm = Llama(model_path="ggml-model-q4_0.bin", n_ctx=256, n_batch=128) | |
def generate_text(input_text): | |
print(input_text) | |
output = llm(f"### Instruction:\n{input_text}\n\n### Response:\n", max_tokens=256, echo=False) | |
print(output) | |
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") | |
gr.Interface(fn=generate_text, inputs=input_text, outputs=output_text, title="🐢 Olive: OdiaGPT Model built by the OdiaGenAI Team").launch() |