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| import gradio as gr | |
| import demo_1 | |
| from demo_1 import Hand | |
| def predict(text, script): | |
| hand = Hand() | |
| lines = text.split('\n') | |
| # print(lines) | |
| # print(type(lines[0])) | |
| # lines_1 = ["Hello Krishna", | |
| # "This image is generated by local", | |
| # "The one you found out the yesterday", | |
| # "It is generated in my desktop"] | |
| # print(type(lines_1[0])) | |
| # print(lines_1) | |
| biases = [.75 for i in lines] | |
| styles = [9 for i in lines] | |
| # stroke_colors = ['red', 'green', 'black', 'blue'] | |
| # stroke_widths = [1, 2, 1, 2] | |
| a = hand.write( | |
| script=script, | |
| lines=lines, | |
| # biases=biases, | |
| # styles=styles, | |
| # stroke_colors=stroke_colors, | |
| # stroke_widths=stroke_widths | |
| ) | |
| return f'video/{a}.mp4' | |
| def run(): | |
| cali = gr.Interface(fn=predict, inputs=["text", "text"], | |
| outputs="video") | |
| cali.launch(server_name="0.0.0.0", server_port=7860) | |
| if __name__ == "__main__": | |
| run() | |