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from gpt4all import GPT4All | |
import gradio as gr | |
# Specify the local path to the downloaded model file | |
model_path = "wizardlm-13b-v1.1-superhot-8k.ggmlv3.q4_0.bin" | |
# Initialize the model using the local path | |
model = GPT4All(model_path) | |
def generate_text(prompt): | |
result = model.generate(prompt) | |
return result | |
text_generation_interface = gr.Interface( | |
fn=generate_text, | |
inputs=[ | |
gr.inputs.Textbox(label="Input Text"), | |
], | |
outputs=gr.outputs.Textbox(label="Generated Text"), | |
title="GPT-4 Text Generation", | |
).launch() | |
# model_name = "" | |