Create app.py

app.py

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+import streamlit as st
+from diffusers import DiffusionPipeline
+from PIL import Image
+import requests
+from io import BytesIO
+
+st.title('Image Generation App')
+pipeline = DiffusionPipeline.from_pretrained("dataautogpt3/OpenDalleV1.1")
+
+prompt = st.text_input('Enter prompt', '')
+
+if st.button('Generate'):
+    results = []
+    for _ in range(4):
+        response = requests.post(pipeline, json={"prompt": prompt})
+        image_bytes = BytesIO(response.content)
+        img = Image.open(image_bytes)
+        results.append(img)
+
+    for img in results:
+        st.image(img, use_column_width=True, caption='Generated Image')