| import gradio as gr | |
| # import os, subprocess, torchaudio | |
| # import torch | |
| from PIL import Image | |
| from gtts import gTTS | |
| import tempfile | |
| from pydub import AudioSegment | |
| from pydub.generators import Sine | |
| # from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub | |
| # from fairseq.models.text_to_speech.hub_interface import TTSHubInterface | |
| import soundfile | |
| import dlib | |
| import cv2 | |
| import imageio | |
| import os | |
| import gradio as gr | |
| import os, subprocess, torchaudio | |
| from PIL import Image | |
| import ffmpeg | |
| block = gr.Blocks() | |
| def generate_ocr(method,image,gender): | |
| print("efef") | |
| return "Hello" | |
| # def run(): | |
| # with block: | |
| # with gr.Group(): | |
| # with gr.Box(): | |
| # with gr.Row().style(equal_height=True): | |
| # image_in = gr.Image(show_label=False, type="filepath") | |
| # # audio_in = gr.Audio(show_label=False, type='filepath') | |
| # input_text=gr.Textbox(lines=3, value="Hello How are you?", label="Input Text") | |
| # gender = gr.Radio(["Female","Male"],value="Female",label="Gender") | |
| # video_out = gr.Textbox(label="output") | |
| # # video_out = gr.Video(show_label=False) | |
| # with gr.Row().style(equal_height=True): | |
| # btn = gr.Button("Generate") | |
| # btn.click(generate_ocr, inputs=[image_in, input_text,gender], outputs=[video_out]) | |
| # block.queue() | |
| # block.launch(server_name="0.0.0.0", server_port=7860) | |
| # if __name__ == "__main__": | |
| # run() | |
| image = gr.Image(show_label=True, type="filepath",label="Input Image") | |
| input_text=gr.Textbox(lines=3, value="Hello How are you?", label="Input Text") | |
| gender = gr.Radio(["Female","Male"],value="Female",label="Gender") | |
| output = gr.Video(show_label=True,label="Output") | |
| demo = gr.Interface(generate_ocr,[image,input_text,gender],[output],title="One Shot Talking Face from Text",) | |
| demo.launch(server_name="0.0.0.0", server_port=7860) | |