Create app.py

app.py

@@ -0,0 +1,32 @@
+import os 
+import huggingface_hub as hf_hub
+import gradio as gr
+
+client = hf_hub.InferenceClient(token = os.environ['HF_TOKEN'])
+client.headers["x-use-cache"] = "0"
+
+def image_interface(prompt, negative_prompt, guidance_scale, steps):
+    response = client.text_to_image(
+        prompt = prompt,
+        negative_prompt = negative_prompt,
+        model = 'segmind/Segmind-Vega',
+        guidance_scale = guidance_scale,
+        num_inference_steps = steps, 
+    )
+
+    return response
+
+app = gr.Interface(
+    fn = image_interface, 
+    inputs = [
+        gr.Textbox(label = 'Prompt'), 
+        gr.Textbox(label = 'Negative Prompt'), 
+        gr.Slider(minimum = 1, maximum = 30, value = 7, step = 0.5, label = 'Guidance Scale', show_label = True),
+        gr.Slider(minimum = 10, maximum = 100, value = 50, step = 10, label = 'Number of Inference Steps', show_label = True)
+    ], 
+    outputs = 'image', 
+    title = 'Stable Diffusion XL',
+    description = 'Vinay Kumar Thakur'
+)
+
+app.launch()