Update app.py

app.py

@@ -1,19 +1,31 @@
 import gradio as gr
 import torch
 from diffusers import DiffusionPipeline
+from transformers import pipeline, GPT2Tokenizer, GPT2LMHeadModel
 
 device = "cpu"
 if torch.cuda.is_available():
     device = "cuda"
 
-model_id = "SimianLuo/LCM_Dreamshaper_v7"
+prompt_enhancer_id = "succinctly/text2image-prompt-generator"
+enhancer_tokenizer = GPT2Tokenizer.from_pretrained(prompt_enhancer_id)
+enhancer_model = GPT2LMHeadModel.from_pretrained(prompt_enhancer_id)
+enhancer_pipe = pipeline("text-generation", model=enhancer_model, tokenizer=enhancer_tokenizer, device=device)
 
-pipe = DiffusionPipeline.from_pretrained(model_id)
-pipe.to(device)
+image_model_id = "SimianLuo/LCM_Dreamshaper_v7"
+image_pipe = DiffusionPipeline.from_pretrained(image_model_id)
+image_pipe.to(device)
 
-def generate_image(prompt, width, height, steps):
-    result = pipe(
-        prompt=prompt,
+def generate_workflow(prompt, width, height, steps):
+    yield "Thinking (analysing AI)...", None, ""
+    
+    enhanced_results = enhancer_pipe(prompt, max_length=75, num_return_sequences=1)
+    refined_prompt = enhanced_results[0]['generated_text']
+    
+    yield "Generating (Image generator AI)...", None, refined_prompt
+    
+    image = image_pipe(
+        prompt=refined_prompt,
         width=int(width),
         height=int(height),
         num_inference_steps=int(steps),
@@ -21,30 +33,37 @@ def generate_image(prompt, width, height, steps):
         lcm_origin_steps=50,
         output_type="pil"
     ).images[0]
-    return result
+    
+    yield "Ready", image, refined_prompt
 
-with gr.Blocks() as demo:
-    gr.Markdown("## LCM Image Generator (CPU Optimized)")
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# AI Image Lab")
     
     with gr.Row():
-        with gr.Column():
-            prompt_input = gr.Textbox(label="Prompt", placeholder="A futuristic city with neon lights...")
+        with gr.Column(scale=1):
+            prompt_input = gr.Textbox(
+                label="Your Idea", 
+                placeholder="e.g., a lonely robot on mars",
+                lines=3
+            )
             
             with gr.Row():
-                width_slider = gr.Slider(minimum=256, maximum=768, step=64, value=512, label="Width")
-                height_slider = gr.Slider(minimum=256, maximum=768, step=64, value=512, label="Height")
+                width_slider = gr.Slider(256, 768, 512, step=64, label="Width")
+                height_slider = gr.Slider(256, 768, 512, step=64, label="Height")
+            
+            steps_slider = gr.Slider(1, 15, 4, step=1, label="Inference Steps")
             
-            steps_slider = gr.Slider(minimum=1, maximum=15, step=1, value=4, label="Inference Steps (Quality)")
+            generate_btn = gr.Button("Generate", variant="primary")
             
-            generate_btn = gr.Button("Generate Image")
-        
-        with gr.Column():
-            image_output = gr.Image(label="Generated Image")
+        with gr.Column(scale=1):
+            status_bar = gr.Markdown("### Status: **Ready**")
+            image_output = gr.Image(label="Result")
+            refined_prompt_display = gr.Textbox(label="Enhanced Prompt Used", interactive=False)
 
     generate_btn.click(
-        fn=generate_image,
+        fn=generate_workflow,
         inputs=[prompt_input, width_slider, height_slider, steps_slider],
-        outputs=image_output
+        outputs=[status_bar, image_output, refined_prompt_display]
     )
 
-demo.launch()
+demo.launch()