Sean-Laurent commited on
Commit
806b780
·
1 Parent(s): 88632af

Update app.py

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Files changed (1) hide show
  1. app.py +2 -57
app.py CHANGED
@@ -1,25 +1,8 @@
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- # !pip install gradio
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- # !pip install openai
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-
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- # import gradio as gr
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- # import openai
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- # import base64
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- # from PIL import Image
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- # from IPython.display import display, Image
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- # from PIL import Image as PILImage
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- # from io import BytesIO
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- # import numpy as np
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- # import io
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- # import cv2
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-
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  import gradio as gr
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  import openai
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  import os
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- #Big Web Labs API Key
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- openai.api_key = "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"
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-
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- # openai.api_key = os.environ.get("OPENAI_API_KEY")
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  # Dalle API
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  def open_ai_txt2img(prompt):
@@ -43,42 +26,4 @@ with gr.Blocks() as demo:
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  submit.click(generator, inputs=[prompt], outputs=[image1, image2, image3], api_name="mmd")
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- demo.launch()
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-
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- # def image_variation(input):
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- # # Resize input image to 1024x1024
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- # input = cv2.resize(input, (1024, 1024))
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-
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- # # Convert input to PIL Image
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- # input = np.uint8(input * 255)
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- # pil_image = PILImage.fromarray(input)
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-
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- # # Convert PIL Image to byte stream
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- # byte_stream = io.BytesIO()
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- # pil_image.save(byte_stream, format='PNG')
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- # byte_array = byte_stream.getvalue()
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-
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- # # Call OpenAI API to create variation
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- # response = openai.Image.create_variation(image=byte_array, n=6, size="1024x1024")
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-
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- # # Return URL of first variation
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- # urls = [variation['url'] for variation in response['data']]
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- # return urls
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-
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- # with gr.Blocks() as demo:
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- # with gr.Tab("Upload"):
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- # with gr.Row():
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- # image_input = gr.Image()
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- # with gr.Row():
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- # image_submit = gr.Button("Image Variation")
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- # with gr.Row():
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- # image_output = gr.Image()
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- # image_output2 = gr.Image()
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- # image_output3 = gr.Image()
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- # with gr.Row():
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- # image_output4 = gr.Image()
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- # image_output5 = gr.Image()
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- # image_output6 = gr.Image()
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- # image_submit.click(image_variation, inputs=[image_input], outputs=[image_output, image_output2, image_output3, image_output4, image_output5, image_output6])
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-
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- # demo.launch(debug=True)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  import gradio as gr
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  import openai
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  import os
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+ openai.api_key = os.environ.get("OPENAI_API_KEY")
 
 
 
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  # Dalle API
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  def open_ai_txt2img(prompt):
 
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  submit.click(generator, inputs=[prompt], outputs=[image1, image2, image3], api_name="mmd")
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+ demo.launch()