diff --git a/public/images/test_fish_img2.jpg b/public/images/test_fish_img2.jpg
new file mode 100644
index 0000000..16763d5
Binary files /dev/null and b/public/images/test_fish_img2.jpg differ
diff --git a/public/plugins/chatbot-extension.imjoy.html b/public/plugins/chatbot-extension.imjoy.html
index 3941278..9ce7955 100644
--- a/public/plugins/chatbot-extension.imjoy.html
+++ b/public/plugins/chatbot-extension.imjoy.html
@@ -24,8 +24,8 @@
 
 <script lang="javascript">
 const chatbot_url = "https://bioimage.io/chat/"
-const ufish_url = "https://ufish-team.github.io/"
-//const ufish_url = "http://localhost:5173/"
+//const ufish_url = "https://ufish-team.github.io/"
+const ufish_url = "http://localhost:5173/"
 const utils_url = ufish_url + "/plugins/chatbot-utils.imjoy.html"
 const py_console_url = "https://nanguage.github.io/web-python-console/"
 
@@ -58,9 +58,10 @@
       client = await api.createWindow({
         src: ufish_url,
         name: "ufish",
-        w: 25, h: 8
+        w: 25, h: 6
       });
     }
+    client.setExampleImageUrl(ufish_url + "images/test_fish_img2.jpg")
     return client
   }
 
@@ -99,9 +100,9 @@
           description: "Run U-FISH web client to detect spots in the image",
           properties: {
             "channel": {
-              type: "number",
+              type: "number | null",
               description: "Channel to use",
-              default: 0,
+              default: null,
             },
             "pThreshold": {
               type: "number",
@@ -140,7 +141,7 @@
             "diameter": {
               type: "number",
               description: "Diameter of the cells",
-              default: 40,
+              default: 50,
             },
             "model_type": {
               type: "string",
diff --git a/src/App.vue b/src/App.vue
index 4dab7e5..f47cf29 100644
--- a/src/App.vue
+++ b/src/App.vue
@@ -24,7 +24,7 @@ export default {
 
 <template>
   <v-app>
-    <v-app-bar color="info">
+    <v-app-bar color="info" v-if="!isPluginMode">
       <template v-slot:prepend>
         <v-app-bar-nav-icon
           color="white"
diff --git a/src/main.ts b/src/main.ts
index 5159ad6..1bd1b2c 100644
--- a/src/main.ts
+++ b/src/main.ts
@@ -82,6 +82,11 @@ async function createApi() {
     return await window.app.ufish_py.get_input_image()
   }
 
+  async function setExampleImageUrl(url: string) {
+    const runStore = useRunStore()
+    runStore.setExampleImageUrl(url)
+  }
+
   return {
     "run": async () => {await waitRunable()},
     "setup": setup,
@@ -92,6 +97,7 @@ async function createApi() {
     "predict": predict,
     "fetchImage": fetchImage,
     "getInputImage": getInputImage,
+    "setExampleImageUrl": setExampleImageUrl,
   }
 }
 
diff --git a/src/stores/run.ts b/src/stores/run.ts
index d999656..eb7f346 100644
--- a/src/stores/run.ts
+++ b/src/stores/run.ts
@@ -49,6 +49,7 @@ export const useRunStore = defineStore("run", {
     channel: null as (number | null),
     pThreshold: 0.5,
     viewEnhanced: true,
+    exampleImageUrl: "https://huggingface.co/datasets/NaNg/TestData/resolve/main/FISH_spots/MERFISH_1.tif",
   }),
   actions: {
     async waitRunable() {
@@ -95,6 +96,9 @@ export const useRunStore = defineStore("run", {
       this.channel = channel;
       this.pThreshold = pThreshold;
       this.viewEnhanced = viewEnhanced;
+    },
+    setExampleImageUrl(url: string) {
+      this.exampleImageUrl = url;
     }
   }
 }) 
\ No newline at end of file
diff --git a/src/views/PredictView.vue b/src/views/PredictView.vue
index f495532..d2f875f 100644
--- a/src/views/PredictView.vue
+++ b/src/views/PredictView.vue
@@ -39,7 +39,6 @@ import { useRunStore } from '@/stores/run';
 export default {
   setup() {
     const modelUrl = window.location.origin + "/model/v1.0-alldata-ufish_c32.onnx"
-    const test_data_url = "https://huggingface.co/datasets/NaNg/TestData/resolve/main/FISH_spots/MERFISH_1.tif"
 
     const running = ref(false)
     const plugin = ref(null as any)
@@ -228,7 +227,7 @@ export default {
           return
         }
         const data = await res.arrayBuffer()
-        const fileName = test_data_url.split('/').pop()
+        const fileName = url.split('/').pop()
         const shape = await plugin.value.view_img_from_bytes(fileName, data)
         runInfoText.value = `Image loaded, shape: ${shape}`
         loadingData.value = false
@@ -240,7 +239,11 @@ export default {
       }
     }
 
-    const loadExample = () => loadFromUrl(test_data_url)
+    const loadExample = () => {
+      const store = useRunStore()
+      const test_data_url = store.exampleImageUrl
+      loadFromUrl(test_data_url)
+    }
 
     async function download() {
       downloadBlob(output.value.enhanced, "enhanced.tif", "image/tiff")