Update app.py

app.py

@@ -65,13 +65,28 @@ def generate(
     progress=gr.Progress(track_tqdm=True),
 ):
 
-    """generate an image for the given text prompt.
-    
+    """
+    Generate an image from a text prompt using a fine-tuned Stable Diffusion XL model.
+
+    This function uses the Fluently-XL-Final model with a LoRA adapter (dalle-3-xl-v2)
+    to generate high-quality images based on the input prompt. It allows advanced options
+    such as negative prompts, seed control, image resolution, and classifier-free guidance scale.
+
     Args:
-        prompt: The input text to describe the image
-        
+        prompt: A positive text prompt describing the desired image.
+        negative_prompt: A prompt specifying what should be avoided in the image (optional).
+        use_negative_prompt: Whether to use the negative prompt or ignore it.
+        seed: Seed value for reproducibility. Set to 0 if unused or randomize_seed is True.
+        width: Width of the output image (in pixels).
+        height: Height of the output image (in pixels).
+        guidance_scale: Classifier-free guidance scale to control prompt adherence.
+        randomize_seed: If True, a random seed will be used.
+        progress: Gradio progress tracker (automatically handled by Gradio UI).
+
     Returns:
-        list of images with lenghth one 
+        A tuple containing:
+            - A list with one file path to the saved generated image.
+            - The seed used for generation (useful for reproducibility).
     """
     seed = int(randomize_seed_fn(seed, randomize_seed))