Update app.py

app.py

@@ -3,14 +3,27 @@ from gtts import gTTS  # Google Text-to-Speech (Online)
 import speech_recognition as sr  # For speech recognition
 import tempfile
 import os
+import time
 
-# Function to generate speech from text (using gTTS for online TTS)
-def speak_text(text):
-    tts = gTTS(text=text, lang='en')
-    # Save to temporary file
+# Function to generate beep sound (3 seconds) + sentence
+def generate_beep_and_sentence_audio(sentence):
+    beep_duration = 0.5  # Each beep lasts 0.5 seconds
+    beep_count = 6  # "do-do-mi" sound pattern
+
+    # Generate a beep sound pattern using text-to-speech
+    beep_audio = "do " * beep_count  # "do-do-mi" pattern
+    beep_audio = beep_audio.strip()  # Remove extra space at the end
+
+    # Concatenate beep sound and the actual sentence
+    full_text = beep_audio + " " + sentence
+    
+    # Generate the audio with gTTS
+    tts = gTTS(text=full_text, lang='en')
+    
+    # Save audio to a temporary file
     with tempfile.NamedTemporaryFile(delete=False, suffix='.mp3') as tmpfile:
         tts.save(tmpfile.name)
-        os.system(f"start {tmpfile.name}")  # For Windows; use 'afplay' for macOS, 'mpg321' for Linux
+        return tmpfile.name
 
 # Function to transcribe speech using SpeechRecognition from uploaded file
 def transcribe_audio(uploaded_file):
@@ -29,16 +42,36 @@ def transcribe_audio(uploaded_file):
     except sr.RequestError as e:
         return f"Could not request results from Google Speech Recognition service; {e}"
 
+# Predefined list of sample sentences
+sample_sentences = [
+    "Hello, how are you?",
+    "I love listening to music.",
+    "This is a beautiful day.",
+    "Can you help me with this task?",
+    "The weather is really nice today.",
+    "She is reading a book right now."
+]
+
 # Streamlit App UI
-st.title("English Shadowing App")
-st.write("Practice speaking English by shadowing.")
+st.title("English Shadowing Practice")
+st.write("Practice speaking English by shadowing. Listen to the sentence, and repeat it!")
 
-# Get user input sentence
-sentence = st.text_input("Enter a sentence to practice:")
+# Select a random sentence from the predefined list
+sentence = st.selectbox("Choose a sentence to practice:", sample_sentences)
 
 if sentence:
-    # Play the sentence using TTS (gTTS)
-    speak_text(sentence)
+    st.write(f"**Sentence to practice**: {sentence}")
+
+    # Generate the audio with 3 seconds of beeps followed by the sentence
+    audio_file = generate_beep_and_sentence_audio(sentence)
+    
+    # Display a message to the user to play the audio and practice
+    st.write("The audio will be played with beeps. Wait for the beep sound before speaking.")
+    
+    # Add a button to play the audio
+    if st.button("Play Audio"):
+        st.audio(audio_file, format="audio/mp3")
+        time.sleep(1)  # Give it a short time before user plays their own recording
 
     # Upload Audio File
     uploaded_file = st.file_uploader("Upload your recorded audio", type=["wav", "mp3"])