Update app.py

app.py

@@ -1,33 +1,15 @@
-import gradio as gr
-import requests
-import io
-import random
-import os
-from PIL import Image
-
-API_URL = "https://api-inference.huggingface.co/models/ehristoforu/dalle-3-xl"
-API_TOKEN = os.getenv("hugging") # it is free
-headers = {"Authorization": f"Bearer {API_TOKEN}"}
-
-def query(prompt, seed=None):
-    payload = {
-        "inputs": prompt,
-        }
-
-    image_bytes = requests.post(API_URL, headers=headers, json=payload).content
-    image = Image.open(io.BytesIO(image_bytes))
-    return image
-
-
-
-
-with gr.Blocks(theme="pseudolab/huggingface-korea-theme") as dalle:
-    with gr.Row():
-        image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery")
-        with gr.Column(elem_id="prompt-container"):
-            text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1)
-            text_button = gr.Button("Generate", variant='primary', elem_id="gen-button")
-
-    text_button.click(query, inputs=text_prompt , outputs=image_output)
-
-dalle.launch(show_api=False)
+import streamlit as st
+from openai import OpenAI
+client = OpenAI(api_key = "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")
+st.title("Dalle - App")
+response = client.images.generate(
+  model="dall-e-2",
+  prompt="Programmer",
+  size="1024x1024",
+  quality="standard",
+  n=1,
+)
+
+image_url = response.data[0].url
+
+st.markdown(image_url)