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Add app.py
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app.py
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import streamlit as st
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import streamlit as st
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import requests
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import base64
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import os
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st.title("OpenAI GPT-Image-1 Text-to-Image Demo")
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prompt = st.text_area("Please enter image description (prompt)")
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api_key = os.environ.get("OPENAI_API_KEY")
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if api_key:
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st.info("OPENAI_API_KEY environment variable detected, will use automatically.")
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else:
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api_key = st.text_input("Please enter OpenAI API Key", type="password")
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uploaded_image = st.file_uploader(
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"(Optional) Upload an image to edit", type=["png", "jpg", "jpeg", "webp"]
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)
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if st.button("Generate Image") and prompt and api_key:
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if uploaded_image:
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# Call image edit API
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headers = {"Authorization": f"Bearer {api_key}"}
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files = {
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"image": (uploaded_image.name, uploaded_image, uploaded_image.type),
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}
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data = {
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"prompt": prompt,
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"model": "gpt-image-1",
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"size": "1024x1024",
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}
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with st.spinner("Image editing in progress..."):
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response = requests.post(
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"https://api.openai.com/v1/images/edits",
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headers=headers,
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files=files,
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data=data,
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)
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if response.status_code == 200:
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img_b64 = response.json()["data"][0]["b64_json"]
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img_bytes = base64.b64decode(img_b64)
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col1, col2 = st.columns(2)
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with col1:
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st.image(uploaded_image, caption="Original Image", use_column_width=True)
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with col2:
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st.image(img_bytes, caption="Edited Image", use_column_width=True)
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else:
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st.error(f"API Error: {response.text}")
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else:
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# Call image generation API
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headers = {
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"Authorization": f"Bearer {api_key}",
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"Content-Type": "application/json",
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}
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payload = {
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"prompt": prompt,
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"model": "gpt-image-1",
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"output_format": "png",
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"size": "1024x1024",
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}
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with st.spinner("Image generation in progress..."):
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response = requests.post(
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"https://api.openai.com/v1/images/generations",
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headers=headers,
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json=payload,
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)
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if response.status_code == 200:
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img_b64 = response.json()["data"][0]["b64_json"]
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img_bytes = base64.b64decode(img_b64)
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st.image(img_bytes, caption="Generated Image", use_column_width=True)
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else:
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st.error(f"API Error: {response.text}")
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