Upload 3 files

app.py

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+import os 
+import gradio as gr
+from huggingface_hub import InferenceClient
+
+
+class Text_to_image:
+  def __init__(self):
+    HUGGINGFACE_API_TOKEN=os.getenv("HUGGINGFACE_API_TOKEN")
+    self.client = InferenceClient(token=HUGGINGFACE_API_TOKEN,model="stabilityai/stable-diffusion-xl-base-1.0")
+
+  def text_to_image(self,prompt):
+    image = self.client.text_to_image(prompt)
+    return image
+  
+  def gradio_interface(self):
+    
+    with gr.Blocks(theme='JohnSmith9982/small_and_pretty',css="style.css") as demo:
+      gr.HTML("""
+                <center><h1 style="color:#02C160">Text To Image</h1></center>""")
+      with gr.Column(elem_id = "col-container"):
+        output=gr.Image( )
+      with gr.Row(elem_id = "col-container"):
+          with gr.Column():
+            prompt=gr.Textbox(show_label=False,placeholder="Enter your prompt")
+          with gr.Column():
+            button=gr.Button("Generate Image",elem_classes="button")
+      button.click(self.text_to_image,prompt,output)
+    demo.launch(debug=True)
+  
+
+if __name__=="__main__":
+  text_to_image=Text_to_image()
+  text_to_image.gradio_interface()

requirements.txt

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+!pip install gradio

style.css

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+#col-container {
+  max-width: 800px;
+  margin-left: auto;
+  margin-right: auto;
+}
+.button{
+    position:absolute;
+    top:11px;
+    background-color:#02C160;
+}