Create app.py

app.py

@@ -0,0 +1,36 @@
+import streamlit as st
+from datetime import datetime
+import time
+from transformers import pipeline
+
+# Initialize the text-to-speech pipeline (Hugging Face Model)
+tts = pipeline("text-to-speech", model="facebook/tts_transformer-en-ljspeech")
+
+def get_current_time():
+    # Get the current time in HH:MM:SS format
+    now = datetime.now()
+    current_time = now.strftime("%H:%M:%S")
+    return current_time
+
+def clock_app():
+    st.title("Hugging Face Clock App")
+
+    # Display current time
+    time_display = st.empty()
+
+    while True:
+        # Get the current time
+        current_time = get_current_time()
+
+        # Update the displayed time
+        time_display.text(f"Current Time: {current_time}")
+        
+        # Optionally, use the Hugging Face TTS model to announce the time
+        tts(f"The current time is {current_time}")
+
+        # Wait for 1 second before updating the time
+        time.sleep(1)
+
+# Run the Streamlit app
+if __name__ == "__main__":
+    clock_app()