'How to Change the Tone of a Text Message with Gradio and Python' machinelearning aiapplications
To install Pytorch you have to install a specialized version, in the photo below you will find my personalized version, feel free to use a version that suits your system's requirements.Importing Dependencies#Importingdependancies from styleformer import Styleformer import gradio as gr import torch import warnings warnings.filterwarningsSet SeedAbove we set the torch seed in other to enable reproducibility.
For the style argument, you pass 0 for the Casual to Formal model, 1 for the Formal to Casual model, 2 for the Active to Passive model, 3 for the Passive to Active model.def func: if tone=="Casual-Formal": return sf_0.transfer elif tone=="Formal-Casual": return sf_1.transfer elif tone=="Active-Passive": return sf_2.transfer eliif tone=="Passive-Active": return sf_3.
Above we created a function that will act as a workflow to tell gradio how we plan to process our input text, we created conditional statements which will enable gradio to efficiently and correctly send text input to the model requested by the user.#Initalizing Gradio App app_description="This model transforms the tone of the text, from formal to informal, from Active to Passive. Choose your option below." app_title="Tone Transfer" app=gr.
Above we wrote down the description and the title of our application. We will pass the variables later into our app Interface. For the app interface, we passed our wrapping function, our input UI component is made up of a text box that will take in the user's text, then a radio where the user will choose what style process he would like to undertake either
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