title change

README.md

@@ -1,13 +1,13 @@
 ---
 title: T-BOD
-emoji: 👁
+emoji: 🤖
 colorFrom: indigo
 colorTo: purple
 sdk: gradio
 sdk_version: 3.29.0
 app_file: app.py
 pinned: false
-license: mit
+license: unknown
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -57,7 +57,7 @@ def query_image(input_img, query, binarize, eval_threshold, crop_mode, crop_pct)
 
 # Gradio interface
 description = """
-Gradio demo for an object detection architecture, introduced in my <a href="https://www.google.com/">bachelor thesis</a> (link will be added). 
+Gradio demo for an object detection architecture, introduced in my bachelor thesis (link will be added). 
 \n\n
 You can use this architecture to detect objects using textual queries. To use it, simply upload an image and enter any query you want.
 It can be a single word or a sentence. The model is trained to recognize only 80 categories from the COCO Detection 2017 dataset. 
@@ -107,7 +107,7 @@ demo = gr.Interface(
             gr.Radio(["center", "squash", "border"], value='center', label='crop_mode'), gr.Slider(0.7, 1, value=0.9, step=0.01)],  
     #outputs="image",
     outputs=gr.Image(type='numpy', label='output').style(height=600, width=600),
-    title="Text-based Object Detection",
+    title="Text-Based Object Detection",
     description=description,
     examples=[
         ["examples/img1.jpeg", "Find a person.", True, 0.45],