Date time added

app.py

@@ -256,38 +256,39 @@ with gr.Blocks() as demo:
               </div>
               <p style="margin-bottom: 10px; font-size: 94%">
                 Trclip is Turkish port of real clip. In this space you can try your images or/and texts. 
-                Also you can use pre calculated TrCaption embeddings. 
-                Number of texts  = 3533312
-                Number of images =  3070976
-                
+                <br>Also you can use pre calculated TrCaption embeddings. 
+                <br>Number of texts  = 3533312
+                <br>Number of images =  3070976
+                <br>
                 Some images are not available in the internet because I downloaded and calculated TrCaption embeddings long time ago. Don't be suprise if you encounter with Image not found :D
                 
-
-                
+                <div style="text-align: center;font-size: 100%">
+                <p><strong><span style="background-color: #000000; color: #ffffff;"><a style="background-color: #000000; color: #ffffff;" href="https://github.com/yusufani/TrCLIP">A GitHub Repository</a> </span>--- <span style="background-color: #000000;"><span style="color: #ffffff;">Paper( Not available yet )&nbsp;</span></span></strong></p>
+                </div>                
               </p>
-              <p style="margin-bottom: 10px; font-size: 75%" ><em>Huggingface Space containers has 16 gb ram. TrCaption embeddings are totaly 20 gb. </em><em>I did a lot of writing and reading to files to make this space workable. That's why<span style="background-color: #ff6600; color: #ffffff;"> <strong>it's running much slower if you're using TrCaption Embeddig</strong>s</span>.</em></p>
+
+            </div>
+            <div style="text-align: center; margin: 0 auto;">
+                 <p style="margin-bottom: 10px; font-size: 75%" ><em>Huggingface Space containers has 16 gb ram. TrCaption embeddings are totaly 20 gb. </em><em>I did a lot of writing and reading to files to make this space workable. That's why<span style="background-color: #ff6600; color: #ffffff;"> <strong>it's running much slower if you're using TrCaption Embeddig</strong>s</span>.</em></p>
                 <div class="sc-jSFjdj sc-iCoGMd jcTaHb kMthTr">
-                <div class="sc-iqAclL xfxEN">
-                <div class="sc-bdnxRM fJdnBK sc-crzoAE DykGo">
-                <div class="sc-gtsrHT gfuSqG">&nbsp;</div>
-                </div>
-                </div>
-                </div>
-                <div class="sc-jSFjdj sc-gKAaRy jcTaHb hydYaP">
-                <div class="sc-pNWdM lfZLSv">&nbsp;</div>
+                    <div class="sc-iqAclL xfxEN">
+                        <div class="sc-bdnxRM fJdnBK sc-crzoAE DykGo">
+                          <div class="sc-gtsrHT gfuSqG">&nbsp;</div>
+                        </div>
+                    </div>
                 </div>
             </div>
         """)
 
     with gr.Tabs():
-        with gr.TabItem("Use Own Images"):
+        with gr.TabItem("Upload a Images"):
             im_input = gr.components.File(label="Image input", optional=True, file_count='multiple')
-    is_trcap_ims = gr.Checkbox(label="Use TRCaption Images\n[Note: Random 2 sample selected in text retrieval mode]")
+    is_trcap_ims = gr.Checkbox(label="Use TRCaption Images\n[Note: Random 2 sample selected in text retrieval mode]",default=True)
 
     with gr.Tabs():
         with gr.TabItem("Input a text (Seperated by new line Max 2 for Image retrieval)"):
-            text_input = gr.components.Textbox(label="Text input", optional=True)
-    is_trcap_texts = gr.Checkbox(label="Use TrCaption Captions \n[Note: Random 2 sample selected in image retrieval mode]")
+            text_input = gr.components.Textbox(label="Text input", optional=True , placeholder = "kedi\nköpek\nGemi\nKahvesini içmekte olan bir adam\n Kahvesini içmekte olan bir kadın\nAraba")
+    is_trcap_texts = gr.Checkbox(label="Use TrCaption Captions \n[Note: Random 2 sample selected in image retrieval mode]",default=True)
 
     im_ret_but = gr.Button("Image Retrieval")
     text_ret_but = gr.Button("Text Retrieval")