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import numpy as np
import gradio as gr
import os
def show_textbox(radio_state):
if(radio_state == "User Input"):
return [gr.Textbox.update(visible=False), gr.Textbox.update(visible=False), gr.Textbox.update(visible=True)]
elif(radio_state == "ChatGPT"):
return [gr.Textbox.update(visible=True), gr.Textbox.update(visible=True), gr.Textbox.update(visible=False)]
elif(radio_state == "PlaceholderModel"):
return [gr.Textbox.update(visible=True), gr.Textbox.update(visible=True), gr.Textbox.update(visible=False)]
else:
return [gr.Textbox.update(visible=False) for _ in range(3)]
def generate_video(x):
return x
def download_video(v):
pass
with gr.Blocks() as demo:
gr.Markdown("Generate a narrated horror story video from a text prompt or your own story.")
with gr.Row():
with gr.Column():
radio_input = gr.Radio(["ChatGPT", "PlaceholderModel", "User Input"], type="value", label="Input method")
auth_input = gr.Textbox(label="Auth Key", max_lines=1, visible=False, interactive=True)
prompt_input = gr.Textbox(label="Prompt", lines=5, visible=False, interactive=True)
text_input = gr.Textbox(label="Your Story", lines=5, visible=False, interactive=True)
text_lst = [auth_input, prompt_input, text_input]
radio_input.change(show_textbox, radio_input, text_lst)
generate_button = gr.Button("Generate Video")
with gr.Column():
out_path = os.path.join(os.path.dirname(os.getcwd()), "fearflixai/src","example.mp4")
print(out_path)
video_out = gr.PlayableVideo(out_path)
download_button = gr.Button("Download")
generate_button.click(generate_video, inputs=video_out, outputs=video_out)
download_button.click(download_video, inputs=video_out)
demo.launch()
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