Ruslan Magana Vsevolodovna commited on
Commit
b0a317b
·
1 Parent(s): 180d1e9

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -16
app.py CHANGED
@@ -2,18 +2,9 @@
2
  from moviepy.editor import *
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  from PIL import Image
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM,pipeline
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- import requests
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  import gradio as gr
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  import torch
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- import re
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- import os
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- import sys
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  from huggingface_hub import snapshot_download
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- import base64
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- import io
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- import cv2
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- import argparse
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- import os
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  from PIL import Image
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  from min_dalle import MinDalle
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  import torch
@@ -22,14 +13,10 @@ import textwrap
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  from mutagen.mp3 import MP3
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  # to speech conversion
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  from gtts import gTTS
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- from IPython.display import Audio
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- from IPython.display import display
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  from pydub import AudioSegment
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  from os import getcwd
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  import glob
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  import nltk
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- from IPython.display import HTML
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- from base64 import b64encode
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  nltk.download('punkt')
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  description = " Video Story Generator with Audio \n PS: Generation of video by using Artifical Intellingence by dalle-mini and distilbart and gtss "
@@ -62,7 +49,8 @@ def get_output_video(text):
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  models_root=models_root,
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  is_reusable=False,
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  is_verbose=True,
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- dtype=torch.float16 if fp16 else torch.float32
 
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  )
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  image = model.generate_image(
@@ -77,7 +65,6 @@ def get_output_video(text):
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  generated_images = []
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  for senten in plot[:-1]:
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- #print(senten)
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  image=generate_image(
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  is_mega='store_true',
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  text=senten,
@@ -212,7 +199,7 @@ def get_output_video(text):
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  audio_background = mpe.AudioFileClip(audname)
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  final_clip = my_clip.set_audio(audio_background)
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  final_clip.write_videofile(outname,fps=fps)
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- combine_audio(movie_name, export_path, movie_final) # i create a new file
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  return 'result_final.mp4'
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  text ='Once, there was a girl called Laura who went to the supermarket to buy the ingredients to make a cake. Because today is her birthday and her friends come to her house and help her to prepare the cake.'
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  demo = gr.Blocks()
 
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  from moviepy.editor import *
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  from PIL import Image
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  from transformers import AutoTokenizer, AutoModelForSeq2SeqLM,pipeline
 
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  import gradio as gr
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  import torch
 
 
 
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  from huggingface_hub import snapshot_download
 
 
 
 
 
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  from PIL import Image
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  from min_dalle import MinDalle
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  import torch
 
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  from mutagen.mp3 import MP3
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  # to speech conversion
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  from gtts import gTTS
 
 
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  from pydub import AudioSegment
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  from os import getcwd
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  import glob
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  import nltk
 
 
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  nltk.download('punkt')
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  description = " Video Story Generator with Audio \n PS: Generation of video by using Artifical Intellingence by dalle-mini and distilbart and gtss "
 
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  models_root=models_root,
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  is_reusable=False,
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  is_verbose=True,
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+ #dtype=torch.float16 if fp16 else torch.float32
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+ dtype=torch.float32
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  )
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  image = model.generate_image(
 
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  generated_images = []
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  for senten in plot[:-1]:
 
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  image=generate_image(
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  is_mega='store_true',
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  text=senten,
 
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  audio_background = mpe.AudioFileClip(audname)
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  final_clip = my_clip.set_audio(audio_background)
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  final_clip.write_videofile(outname,fps=fps)
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+ combine_audio(movie_name, export_path, movie_final) # create a new file
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  return 'result_final.mp4'
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  text ='Once, there was a girl called Laura who went to the supermarket to buy the ingredients to make a cake. Because today is her birthday and her friends come to her house and help her to prepare the cake.'
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  demo = gr.Blocks()