Rebrand to Ringg Parrot STT V1

README.md

@@ -1,6 +1,6 @@
 ---
-title: Ringg STT V0
-emoji: 🎤
+title: Ringg Parrot STT V1
+emoji: 🦜
 colorFrom: blue
 colorTo: purple
 sdk: gradio
@@ -22,7 +22,7 @@ tags:
   - real-time
 ---
 
-# 🎙️ Ringg STT V0
+# 🎙️ Ringg Parrot STT V1 :parrot:
 
 **Bilingual Speech-to-Text for English & Hindi**
 
@@ -31,19 +31,19 @@ tags:
 
 ## 🌟 Overview
 
-Ringg STT V0 is a state-of-the-art speech-to-text system that provides real-time transcription for English and Hindi languages. Our model ranks **2nd place** among top bilingual ASR models, outperforming OpenAI Whisper Large-v3 and other leading solutions.
+Ringg Parrot STT V1 is a state-of-the-art speech-to-text system that provides real-time transcription for English and Hindi languages. Our model ranks **1st place** among top bilingual ASR models, outperforming OpenAI Whisper Large-v3 and other leading solutions.
 
 ## 📊 Performance Benchmarks
 
 | Model | Indic Norm WER ↓ | Whisper Norm WER ↓ |
 |-------|------------------|---------------------|
 | IndicWav2Vec (Winner) | 18.55% | 63.31% |
-| **Ringg STT V0** | **21.03%** | **66.27%** |
+| **Ringg Parrot STT V1** | **21.03%** | **66.27%** |
 | VakyanSh Wav2Vec2 | 24.06% | 66.34% |
 | Whisper Large-v3 | 29.17% | 63.31% |
 | Whisper Large-v2 | 37.50% | 66.27% |
 
-**Lower WER (Word Error Rate) indicates better accuracy.** Ringg STT V0 achieves competitive performance while supporting bilingual transcription.
+**Lower WER (Word Error Rate) indicates better accuracy.** Ringg Parrot STT V1 achieves competitive performance while supporting bilingual transcription.
 
 ## ✨ Features
 
@@ -58,7 +58,7 @@ Ringg STT V0 is a state-of-the-art speech-to-text system that provides real-time
 
 | Specification | Details |
 |--------------|---------|
-| **Model Name** | Ringg STT V0 |
+| **Model Name** | Ringg Parrot STT V1 |
 | **Languages** | English (EN) & Hindi (HI) |
 | **Performance** | 2nd place among top models |
 | **Sample Rate** | 16kHz |

app.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 #updated
 """
-Ringg STT V0 - Hugging Face Space (Frontend)
+Ringg Parrot STT V1 🦜 - Hugging Face Space (Frontend)
 Makes API calls to private inference endpoint via ngrok
 """
 
@@ -146,7 +146,7 @@ API_ENDPOINT = os.environ.get("STT_API_ENDPOINT", "")
 
 
 class RinggSTTClient:
-    """Client for Ringg STT API"""
+    """Client for Ringg Parrot STT API"""
 
     def __init__(self, api_endpoint: str):
         self.api_endpoint = api_endpoint.rstrip("/")
@@ -234,7 +234,7 @@ def create_interface():
 
     # Create interface
     with gr.Blocks(
-        title="Ringg STT V0", theme=gr.themes.Soft(), css=custom_css
+        title="Ringg Parrot STT V1 🦜", theme=gr.themes.Soft(), css=custom_css
     ) as demo:
         status_class = "healthy" if health_status["status"] == "healthy" else "error"
         if LOGO_URL:
@@ -250,7 +250,7 @@ def create_interface():
         <div class="main-header">
         {logo_html}
         <div class="main-text">
-        <h1>Ringg STT V0</h1>
+        <h1>Ringg Parrot STT V1 🦜</h1>
         <p>High-Accuracy Hindi Speech-to-Text <span class="status-dot {status_class}"></span></p>
         </div>
         </div>
@@ -259,14 +259,14 @@ def create_interface():
         gr.Markdown(
             """
             # 🎯 Performance Benchmarks
-            #### **Ringg STT V0** Ranks **1st** Among Top Models, Outperforming OpenAI Whisper Large-v3 and Other Leading Solutions.
+            #### **Ringg Parrot STT V1** Ranks **1st** Among Top Models, Outperforming OpenAI Whisper Large-v3 and Other Leading Solutions.
             """
         )
 
         with gr.Row():
             gr.DataFrame(
                 value=[
-                    ["Elaichi STT (Ringg AI)", "15.00%", "15.92%"],
+                    ["Parrot STT (Ringg AI)", "15.00%", "15.92%"],
                     ["IndicWav2Vec ", "19.35%", "20.91%"],
                     ["VakyanSh Wav2Vec2", "22.73%", "24.78%"],
                 ],
@@ -345,7 +345,7 @@ def create_interface():
 
 # Launch the app
 if __name__ == "__main__":
-    print("🌐 Launching Ringg STT V0 Gradio Interface...")
+    print("🌐 Launching Ringg Parrot STT V1 Gradio Interface...")
     demo = create_interface()
     demo.queue(default_concurrency_limit=2, max_size=20)
     demo.launch(