arial

app.py

@@ -39,7 +39,9 @@ from huggingface_hub import snapshot_download
 hf_token = os.environ.get("HF_TOKEN")
 MODEL_TITLE = "🔬 FluoGen: AI-Powered Fluorescence Microscopy Suite"
 MODEL_DESCRIPTION = """
-**Paper**: *Generative AI empowering fluorescence microscopy imaging and analysis*
+**Paper**: [*FluoGen: An Open-Source Generative Foundation Model for Fluorescence Microscopy Image Enhancement and Analysis*](https://doi.org/10.21203/rs.3.rs-8334792/v1)
+**Homepage**: [Homepage Website](https://rayquazamega.github.io/FluoGen-HomePage/)
+**Code**: [GitHub Repository](https://github.com/FluoGen-Group/FluoGen)
 <br>
 Select a task below. 
 **Note**: The "Pseudocolor" option instantly applies to both **Input** and **Output** images for better comparison. Use the "Download Raw Output" button to get the scientific 16-bit/Float data.
@@ -52,7 +54,7 @@ SAVE_EXAMPLES = False
 # --- CSS for Times New Roman ---
 CUSTOM_CSS = """
 .gradio-container, .gradio-container * {
-    font-family: 'Arial', Times, serif !important;
+    font-family: 'Arial', 'Helvetica', 'Microsoft YaHei', '微软雅黑', sans-serif !important;
 }
 """
 
@@ -71,7 +73,7 @@ CONTROLNET_UNET_PATH = f"{MODELS_ROOT_DIR}/UNET_T2I_CONTROLNET/checkpoint-285000
 
 SR_CONTROLNET_MODELS = {
     "Checkpoint ER": f"{MODELS_ROOT_DIR}/ControlNet_SR/ER/checkpoint-30000",
-    "Checkpoint Microtubules": f"{MODELS_ROOT_DIR}/ControlNet_SR/Microtubules/checkpoint-72500",
+    "Checkpoint Micro·bules": f"{MODELS_ROOT_DIR}/ControlNet_SR/Microtubules/checkpoint-72500",
     "Checkpoint CCPs": f"{MODELS_ROOT_DIR}/ControlNet_SR/CCPs/checkpoint-100000",
     "Checkpoint F-actin": f"{MODELS_ROOT_DIR}/ControlNet_SR/F-actin/checkpoint-35000",
 }