more_pompt

app.py

@@ -143,6 +143,15 @@ def numpy_to_pil(image_np, target_mode="RGB"):
     elif target_mode == "L" and pil_image.mode != "L": pil_image = pil_image.convert("L")
     return pil_image
 
+def load_all_prompts():
+    try:
+        with open("all_prompts_list.json", "r", encoding="utf-8") as f:
+            return json.load(f)
+    except Exception as e:
+        print(f"Error loading prompts: {e}")
+        # 如果加载失败，返回几个默认值保底
+        return ["F-actin of COS-7", "ER of COS-7", "Mitochondria of BPAE"]
+
 # --- 1. Model Loading ---
 print("--- Initializing FluoGen Application ---")
 t2i_pipe, controlnet_pipe = None, None
@@ -508,7 +517,14 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
             """) # Content hidden for brevity
             with gr.Row(variant="panel"):
                 with gr.Column(scale=1, min_width=350):
-                    t2i_prompt_input = gr.Dropdown(choices=T2I_PROMPTS, value=T2I_PROMPTS[0], label="Select a Prompt")
+                    # t2i_prompt_input = gr.Dropdown(choices=T2I_PROMPTS, value=T2I_PROMPTS[0], label="Select a Prompt")
+                    t2i_prompt_input = gr.Dropdown(
+                        choices=T2I_PROMPTS,        # 传入那 3000 个词
+                        value=T2I_PROMPTS[0],       # 默认值
+                        label="Search or Type a Prompt", 
+                        filterable=True,            # 允许搜索/模糊匹配
+                        allow_custom_value=True     # 允许用户输入列表外的文字
+                    )
                     t2i_steps_slider = gr.Slider(minimum=10, maximum=200, step=1, value=50, label="Inference Steps")
                     t2i_generate_button = gr.Button("Generate", variant="primary")
                 with gr.Column(scale=2):