ud

README.md

@@ -1,13 +1,13 @@
 ---
 title: Dhivehi Text-Gen Goldfish Models
 emoji: 🫧
-colorFrom: gray
-colorTo: gray
+colorFrom: yellow
+colorTo: red
 sdk: gradio
 sdk_version: 5.8.0
 app_file: app.py
 pinned: false
 short_description: goldfish-models/div_thaa_full demo
 ---
-
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -30,66 +30,55 @@ def generate_text(input_text):
 
 # Create Gradio interface
 
-# Custom CSS with modern Gradio styling
-custom_css = """
-.thaana-textbox textarea {
-    font-size: 18px !important;
-    font-family: 'MV_Faseyha', 'Faruma', 'A_Faruma', 'Noto Sans Thaana', 'MV Boli' !important;
-    line-height: 1.8 !important;
-    direction: rtl !important;
-}
-"""
-
-# Example inputs
-examples = [
-    ["ދިވެހިރާއްޖެ"],
-    ["އެމެރިކާ އިންތިޚާބު"],
-    ["ސަލާމް"],
-    ["ދުނިޔޭގެ ސިއްޙަތު ޖަމްޢިއްޔާ"],
-    ["ޤަދީމީ ސަގާފަތް"],
-    ["ޑިމޮކްރަސީ"]
-]
-
-# Create Gradio app with modern components
-with gr.Blocks(css=custom_css) as demo:
+with gr.Blocks(css="""
+    .thaana textarea {
+        font-size: 18px !important;
+        font-family: 'MV_Faseyha', 'Faruma', 'A_Faruma', 'Noto Sans Thaana', 'MV Boli';
+        line-height: 1.8 !important;
+    }
+""") as demo:
     gr.Markdown("# Demo Dhivehi Text Generator")
     gr.Markdown("Generate text in Dhivehi language. This model is trained to generate coherent text based on the input prompt.")
     
     with gr.Row():
         input_text = gr.Textbox(
-            label="Enter Dhivehi Text",
             lines=2,
-            elem_classes=["thaana-textbox"],
-            rtl=True
+            label="Enter Dhivehi Text",
+            rtl=True,
+            elem_classes="thaana"
         )
         output_text = gr.Textbox(
-            label="Generated Text",
             lines=2,
-            elem_classes=["thaana-textbox"],
-            rtl=True
+            rtl=True,
+            elem_classes="thaana"
         )
-    
+
     generate_btn = gr.Button("Generate")
     generate_btn.click(
         fn=generate_text,
         inputs=input_text,
         outputs=output_text
     )
-    
-    gr.Examples(
-        examples=examples,
+
+    gr.Markdown("""
+        Model: Goldfish is a suite of monolingual language models trained for 350 languages. 
+        This model is the Dhivehi (Thaana script). For more details, visit the 
+        [Goldfish Models GitHub repository](https://github.com/tylerachang/goldfish).
+    """)
+
+    examples = gr.Examples(
+        examples=[
+            ["ދިވެހިރާއްޖެ"],
+            ["އެމެރިކާ އިންތިޚާބު"],
+            ["ސަލާމް"],
+            ["ދުނިޔޭގެ ސިއްޙަތު ޖަމްޢިއްޔާ"],
+            ["ޤަދީމީ ސަގާފަތް"],
+            ["ޑިމޮކްރަސީ"]
+        ],
         inputs=input_text,
         outputs=output_text,
-        fn=generate_text,
-        cache_examples=True
+        fn=generate_text
     )
-    
-    gr.Markdown("""
-    ### Model Information
-    Model: Goldfish is a suite of monolingual language models trained for 350 languages. 
-    This model is the Dhivehi (Thaana script). For more details, visit the 
-    [Goldfish Models GitHub repository](https://github.com/tylerachang/goldfish).
-    """)
 
 if __name__ == "__main__":
     demo.launch()