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Update app.py
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app.py
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@@ -12,53 +12,14 @@ device = "cuda"
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device1 = "cpu"
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pipe = StableDiffusionImg2ImgPipeline.from_pretrained("runwayml/stable-diffusion-v1-5").to(device1)
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def create_ad_template(image, hex_code, text, button_color, punchline_color):
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# Load the logo image
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logo_image = Image.open("flat-white-3402c4f.jpg")
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# Create a blank canvas for the ad template
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ad_template = Image.new("RGB", (800, 600), hex_code)
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# Paste the logo image at the top of the ad template
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ad_template.paste(logo_image, (0, 0))
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# Paste the generated image in the middle of the ad template
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ad_template.paste(image, (200, 100))
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# Add the text at the bottom of the ad template
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draw = ImageDraw.Draw(ad_template)
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font = ImageFont.truetype("arial.ttf", 24)
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text_width, text_height = draw.textsize(text, font=font)
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text_position = (400 - text_width / 2, 500 - text_height / 2)
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draw.text(text_position, text, font=font, fill=punchline_color)
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# Add the button at the bottom of the ad template
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button_width, button_height = 200, 50
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button_position = (400 - button_width / 2, 550 - button_height / 2)
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draw.rectangle(button_position, fill=button_color)
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return ad_template
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@app.get("/")
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async def
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return {"message": "Welcome to the
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@app.get("/
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async def
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ad_prompt = "From init image create me a new image that will attract customers to put in a (ad template)"
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image = pipe(prompt=ad_prompt, image=init_image, strength=0.75, guidance_scale=7.5, generator=generator).images[0]
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# Create the ad template
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ad_template = create_ad_template(image, hex_code, text, button_color, punchline_color)
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# Return the ad template as a response
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return ad_template
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"""
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The application is now deployed and running. You can access it in your browser at http://localhost:8000/generate_ad. You can send a POST request to this endpoint with the necessary inputs to generate the ad template.
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"""
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device1 = "cpu"
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pipe = StableDiffusionImg2ImgPipeline.from_pretrained("runwayml/stable-diffusion-v1-5").to(device1)
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@app.get("/")
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async def root():
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return {"message": "Welcome to the Text-to-Image API!"}
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@app.get("/generate", response_class=StreamingResponse)
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async def generate_image(prompt: str = Query(..., description="Text prompt for image generation")):
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image = pipe(prompt).images[0]
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image_data = io.BytesIO()
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image.save(image_data, format="PNG")
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image_data.seek(0)
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return StreamingResponse(image_data, media_type="image/png")
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