Update app.py

app.py

@@ -1,4 +1,16 @@
 # -*- coding: utf-8 -*-
+"""
+Gradio Space: Text → Image using FLUX.1 (Hugging Face Inference API)
+Attractive interface with custom styling and footer label: "designed by Mehak Mazhar"
+
+How to use:
+1. Install dependencies: pip install gradio requests pillow
+2. Get a Hugging Face API token (if you want to use the hosted FLUX.1 models) and either set it as an env var HF_TOKEN or paste it into the 'HF Token' field in the UI.
+3. Run: python app.py
+
+Notes: this script calls the Hugging Face Inference API for the model 'black-forest-labs/FLUX.1-schnell' by default.
+You can change the MODEL variable to any compatible image generation model hosted on Hugging Face or point to your own inference server.
+"""
 
 import os
 import io
@@ -76,9 +88,21 @@ with gr.Blocks(css=css, title="Flux Text→Image — designed by Mehak Mazhar")
 
     with gr.Row():
         with gr.Column(scale=1, min_width=360):
-            prompt = gr.Textbox(label="Prompt", placeholder="A serene mountain lake at sunset, digital painting, ultra-detailed", rows=4)
-            negative = gr.Textbox(label="Negative prompt (optional)", placeholder="blurry, lowres, text, watermark", rows=2)
-            hf_token = gr.Textbox(label="Hugging Face API Token (optional)", placeholder="Paste your HF token here or set HF_TOKEN env var", type="password")
+            prompt = gr.Textbox(
+                label="Prompt",
+                placeholder="A serene mountain lake at sunset, digital painting, ultra-detailed",
+                lines=4
+            )
+            negative = gr.Textbox(
+                label="Negative prompt (optional)",
+                placeholder="blurry, lowres, text, watermark",
+                lines=2
+            )
+            hf_token = gr.Textbox(
+                label="Hugging Face API Token (optional)",
+                placeholder="Paste your HF token here or set HF_TOKEN env var",
+                type="password"
+            )
             with gr.Row():
                 width = gr.Dropdown(choices=[256,384,512,768,1024], value=512, label="Width")
                 height = gr.Dropdown(choices=[256,384,512,768,1024], value=512, label="Height")
@@ -88,7 +112,7 @@ with gr.Blocks(css=css, title="Flux Text→Image — designed by Mehak Mazhar")
             with gr.Row():
                 seed = gr.Number(value=None, precision=0, label="Seed (leave blank for random)")
             gen_btn = gr.Button("Generate", elem_classes="generator-btn")
-            info = gr.Markdown("**Tip:** Use vivid, descriptive prompts. Try styles like `cinematic lighting`, `digital oil painting`, or `ultra-detailed`.")
+            gr.Markdown("**Tip:** Use vivid, descriptive prompts. Try styles like `cinematic lighting`, `digital oil painting`, or `ultra-detailed`.")
 
         with gr.Column(scale=1, min_width=360):
             gallery = gr.Gallery(label="Generated images", show_label=True, elem_id="gallery").style(grid=[2], height="640px")