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Update app.py
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app.py
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@@ -1,7 +1,9 @@
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# app.py
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import gradio as gr
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import os
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from openai import OpenAI
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from dotenv import load_dotenv
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api_key = os.getenv("OPENAI_API_KEY") # Ensure your OpenAI API key is stored in the .env file
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client = OpenAI(api_key=api_key)
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def generate_image(input_text):
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# Call OpenAI's DALL路E 3 model for image generation
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@@ -24,7 +30,12 @@ def generate_image(input_text):
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# Extract the image URL from the response
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image_url = response.data[0].url
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# Create a Gradio interface
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def create_interface():
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generate_btn = gr.Button("Generate Image")
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# Image output
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image_output = gr.Image(label="Generated Image", type="
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# Define the interaction: When the button is clicked, generate the image
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generate_btn.click(generate_image, inputs=input_text, outputs=image_output)
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# app.py
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import gradio as gr
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import os
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from PIL import Image
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import requests
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from io import BytesIO
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from openai import OpenAI
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from dotenv import load_dotenv
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api_key = os.getenv("OPENAI_API_KEY") # Ensure your OpenAI API key is stored in the .env file
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client = OpenAI(api_key=api_key)
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from io import BytesIO
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# Initialize OpenAI client
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client = OpenAI()
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def generate_image(input_text):
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# Call OpenAI's DALL路E 3 model for image generation
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)
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# Extract the image URL from the response
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image_url = response.data[0].url
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# Fetch the image from the URL
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image_response = requests.get(image_url)
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img = Image.open(BytesIO(image_response.content))
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return img
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# Create a Gradio interface
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def create_interface():
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generate_btn = gr.Button("Generate Image")
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# Image output
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image_output = gr.Image(label="Generated Image", type="pil")
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# Define the interaction: When the button is clicked, generate the image
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generate_btn.click(generate_image, inputs=input_text, outputs=image_output)
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