Update README.md

README.md

@@ -1,15 +1,11 @@
-# NO How
-
-1- HMM for speech recognition ( can accurately extract words from heavily accented speech. )
-    a- Speech2phone
-    b- 
-
-
-Other information is also extracted from the respondent’s utterance such as speaking time, rate of speech, and mean pause duration. These and other paralinguistic parameters are then input into nonlinear models that are optimized to predict how human listeners would judge the responses with regard
-to pronunciation and fluency.
-
-
-
-Utterance the quebec people that that speak french
-Annotation /ð @ k w @ b E k p i p @ l .. s p i k f ô E n Ù/
-Allosaurus [ð @ x o b @ k 5 p h i T o: l .. s p ô I k f ô E n d]
+---
+title: Audiofluency
+emoji: 📊
+colorFrom: blue
+colorTo: gray
+sdk: gradio
+sdk_version: 4.10.0
+app_file: app.py
+pinned: false
+license: mit
+---