Create app.py

app.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+from PIL import Image
+
+# Function to generate an image from text using the Hugging Face Inference API
+def generate_image(prompt, hf_token):
+    # Initialize the InferenceClient with the model and API token
+    client = InferenceClient("stabilityai/stable-diffusion-3.5-large", token=hf_token)
+    
+    # Use the client to generate an image from the text prompt
+    image = client.text_to_image(prompt)
+    
+    # Return the generated image
+    return image
+
+# Define Gradio interface
+iface = gr.Interface(
+    fn=generate_image,  # Function to call
+    inputs=[
+        gr.Textbox(label="Enter your prompt", placeholder="Describe the image you want...", lines=2),
+        gr.Textbox(label="Hugging Face API Token", placeholder="Enter your Hugging Face API token here...", type="password")
+    ],
+    outputs=gr.Image(type="pil", label="Generated Image"),
+    live=True,  # Optionally enable live updates while typing
+    title="Stable Diffusion 3.5 Image Generation",
+    description="Generate images using Stable Diffusion 3.5 model by Stability AI. Enter a text prompt and your Hugging Face API token to get started."
+)
+
+# Launch Gradio app
+iface.launch()