update desc, layout
Browse files
app.py
CHANGED
@@ -37,28 +37,30 @@ be to the input. This pipeline requires a value of at least `1`. It's possible y
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* Cropping the image so the face takes up a larger portion of the frame.
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"""
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def chat(image_in,
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progress(0, desc="Starting...")
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global counter
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#global seed
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#img_nm = f"./edited_image_{seed}.png"
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counter += 1
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#print(f"seed is : {seed}")
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#print(f"image_in name is :{img_nm}")
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-
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#if message == "revert": --to add revert functionality later
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if counter > 1:
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# Open the image
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image_in = Image.open("edited_image.png") #(img_nm)
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prompt = message #eg - "turn him into cyborg"
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edited_image = pipe(prompt, image=image_in, num_inference_steps=20, image_guidance_scale=1).images[0]
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edited_image
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history = history or []
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add_text_list = ["There you go ", "Enjoy your image! ", "Nice work! Wonder what you gonna do next! ", "Way to go! ", "Does this work for you? ", "Something like this? "]
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#Resizing the image for better display
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#response = random.choice(add_text_list) + '<img src="/file=' + img_nm[2:] + '" style="width: 200px; height: 200px;">'
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response =
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-
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return history, history
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with gr.Blocks() as demo:
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@@ -73,9 +75,14 @@ with gr.Blocks() as demo:
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text_in = gr.Textbox()
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state_in = gr.State()
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b1 = gr.Button('Edit the image!')
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chatbot = gr.Chatbot()
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b1.click(chat,[image_in, text_in, state_in], [chatbot, state_in])
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gr.Markdown(help_text)
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demo.queue(concurrency_count=10)
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demo.launch(debug=True, width="80%", height=
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* Cropping the image so the face takes up a larger portion of the frame.
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"""
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def chat(image_in, in_steps, in_guidance_scale, in_img_guidance_scale, prompt, history, progress=gr.Progress(track_tqdm=True)):
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progress(0, desc="Starting...")
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global counter
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#global seed
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#img_nm = f"./edited_image_{seed}.png"
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#print(f"seed is:{seed}")
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#print(f"image name is:{img_nm}")
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counter += 1
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#if message == "revert": --to add revert functionality later
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if counter > 1:
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# Open the image
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image_in = Image.open("edited_image.png") #(img_nm)
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#prompt = message #eg - "turn him into cyborg"
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#edited_image = pipe(prompt, image=image_in, num_inference_steps=20, image_guidance_scale=1).images[0]
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edited_image = pipe(prompt, image=image_in, num_inference_steps=int(in_steps), guidance_scale=float(in_guidance_scale), image_guidance_scale=float(in_img_guidance_scale)).images[0]
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edited_image.save("edited_image.png") #("/tmp/edited_image.png") #(img_nm)
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history = history or []
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#Resizing the image for better display
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add_text_list = ["There you go", "Enjoy your image!", "Nice work! Wonder what you gonna do next!", "Way to go!", "Does this work for you?", "Something like this?"]
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#response = random.choice(add_text_list) + '<img src="/file=' + img_nm[2:] + '" style="width: 200px; height: 200px;">'
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#response = random.choice(add_text_list) + '<img src="/file=edited_image.png" style="width: 350px; height: 350px;">'
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response = random.choice(add_text_list) + '<img src="/file=edited_image.png">' # style="width: 350px; height: 350px;">'
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history.append((prompt, response))
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return history, history
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with gr.Blocks() as demo:
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text_in = gr.Textbox()
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state_in = gr.State()
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b1 = gr.Button('Edit the image!')
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with gr.Accordion("Advance settings for Training and Inference", open=False):
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gr.Markdown("Advance settings for - Number of Inference steps, Guidanace scale, and Image guidance scale.")
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in_steps = gr.Number(label="Enter the number of Inference steps", value = 20)
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in_guidance_scale = gr.Slider(1,10, step=0.5, label="Set Guidance scale", value=7.5)
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in_img_guidance_scale = gr.Slider(1,10, step=0.5, label="Set Image Guidance scale", value=1.5)
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chatbot = gr.Chatbot()
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b1.click(chat,[image_in, in_steps, in_guidance_scale, in_img_guidance_scale, text_in, state_in], [chatbot, state_in]) #, queue=True)
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gr.Markdown(help_text)
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demo.queue(concurrency_count=10)
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demo.launch(debug=True, width="80%", height=2000)
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