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Running
Running
Nifemi Alpine Durin
commited on
Commit
·
c438cdb
1
Parent(s):
1ae4512
add persistence
Browse files
app.py
CHANGED
@@ -1,36 +1,28 @@
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import gradio as gr
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import requests
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from dotenv import load_dotenv
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load_dotenv()
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API_URL = os.environ.get("API_URL", "http://0.0.0.0:8021")
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APP_ENV = os.environ.get("APP_ENV", None)
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# Assuming the API returns an image URL in the response
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def generate_image(campaign_details):
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# Define your payload/data to send to the image generation API
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data = {
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"request_string": campaign_details,
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"is_single_image": False
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}
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# Make the API call
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response = requests.post(API_URL + "/generate_graphic", json=data)
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# Ensure the API call was successful
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if response.status_code != 200:
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print(f"Error {response.status_code}: {response.text}")
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return "Error: Unable to fetch image from the external API."
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image_data = response.json()
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data_url = image_data['image_url']
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image_desc = image_data['image_description']
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return data_url
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@@ -39,17 +31,14 @@ content_html = """
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<div style="text-align: center; margin-top: 30px;">
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<h2>Slidegen Examples</h2>
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<div style="display: flex; justify-content: space-around; align-items: center;">
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<!-- Displaying one video -->
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<video controls width="30%">
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<source src="https://cdn-uploads.huggingface.co/production/uploads/644252f59a5bbb07ab7a987a/IxuuqPhmIX3Jggqkeiseb.mp4" type="video/mp4">
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Your browser does not support the video tag.
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</video>
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<!-- Displaying two images -->
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<img src="https://cdn-uploads.huggingface.co/production/uploads/644252f59a5bbb07ab7a987a/f4xH6ZNx1rVbKzr8jAHmt.png" alt="Image Description 1" style="width: 30%; margin: 0 10px;">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/644252f59a5bbb07ab7a987a/A9BoWW2ulZycv0OQaihKO.png" alt="Image Description 2" style="width: 30%; margin: 0 10px;">
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</div>
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</div>
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"""
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default_value = """
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**Examples of layouts: Mobile Portrait (750x1334), Mobile Landscape (940x470), Square (2048x2048)
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---
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## Custom Graphics
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Enter your custom graphic prompt here.
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"""
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],
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title="Slidegen AI - Image generator",
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article=content_html,
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description="Generate social media creatives from a few prompts",
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live=False
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)
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# iface.queue()
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# Run the interface
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#trigger
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iface.launch()
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import gradio as gr
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import requests
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import os
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from dotenv import load_dotenv
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from gradio import Request
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load_dotenv()
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API_URL = os.environ.get("API_URL", "http://0.0.0.0:8021")
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# Assuming the API returns an image URL in the response
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def generate_image(campaign_details):
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data = {
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"request_string": campaign_details,
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"is_single_image": False
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}
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response = requests.post(API_URL + "/generate_graphic", json=data)
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if response.status_code != 200:
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print(f"Error {response.status_code}: {response.text}")
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return "Error: Unable to fetch image from the external API."
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image_data = response.json()
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data_url = image_data['image_url']
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return data_url
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<div style="text-align: center; margin-top: 30px;">
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<h2>Slidegen Examples</h2>
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<div style="display: flex; justify-content: space-around; align-items: center;">
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<video controls width="30%">
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<source src="https://cdn-uploads.huggingface.co/production/uploads/644252f59a5bbb07ab7a987a/IxuuqPhmIX3Jggqkeiseb.mp4" type="video/mp4">
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Your browser does not support the video tag.
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</video>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/644252f59a5bbb07ab7a987a/f4xH6ZNx1rVbKzr8jAHmt.png" alt="Image Description 1" style="width: 30%; margin: 0 10px;">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/644252f59a5bbb07ab7a987a/A9BoWW2ulZycv0OQaihKO.png" alt="Image Description 2" style="width: 30%; margin: 0 10px;">
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</div>
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</div>
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"""
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default_value = """
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**Examples of layouts: Mobile Portrait (750x1334), Mobile Landscape (940x470), Square (2048x2048)
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---
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## Custom Graphics
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Enter your custom graphic prompt here.
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"""
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# JavaScript to save and load textarea content using cookies
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js = '''function js(){
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window.set_cookie = function(key, value){
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document.cookie = key+'='+value+'; Path=/; SameSite=Strict';
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return [value]
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}
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}'''
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def get_config(request: Request):
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config = {"campaign_details": default_value}
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if 'campaign_details' in request.cookies:
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config['campaign_details'] = request.cookies['campaign_details']
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return config['campaign_details']
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with gr.Blocks() as iface:
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campaign_details_input = gr.Textbox(
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lines=10,
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placeholder="Enter your Brand and campaign details here",
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value=default_value,
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label="Campaign Details",
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elem_id="campaign_details_textarea"
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)
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iface.load(fn=get_config, inputs=None, outputs=campaign_details_input, js=js)
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campaign_details_input.change(
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fn=lambda x: x,
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inputs=campaign_details_input,
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outputs=[],
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js="(value) => set_cookie('campaign_details', value)"
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)
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gr.Interface(
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fn=generate_image,
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inputs=campaign_details_input,
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outputs=gr.Image(label="Generated Image"),
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title="Slidegen AI - Image generator",
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article=content_html,
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description="Generate social media creatives from a few prompts",
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live=False
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)
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iface.launch()
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