Create app.py

app.py

@@ -0,0 +1,36 @@
+
+
+import streamlit as st
+import requests
+import io
+from PIL import Image
+import os
+
+
+# Create a text input
+
+API_KEY = os.environ.get("API_KEY2")
+API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
+headers = {"Authorization": f"Bearer {API_KEY}"}
+
+user_input = st.text_input("Enter your text here:")
+
+# Process the input (you can replace this with your own logic)
+processed_output = user_input.upper()
+
+# Display the processed output
+# st.write(f"Processed output: {processed_output}")
+def query(payload):
+	response = requests.post(API_URL, headers=headers, json=payload)
+	return response.content
+image_bytes = query({
+	"inputs": user_input,
+})
+
+
+
+image = Image.open(io.BytesIO(image_bytes))
+st.image(image, caption="image", width=None, use_column_width=None, clamp=False, channels="RGB", output_format="auto")
+# st.image(image=image,caption="image")
+# st.image(image)
+# st.image(image : image,caption=image)