Upload app.py

app.py

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+import streamlit as st
+from gtts import gTTS
+from io import BytesIO
+import base64
+
+# Function to convert text to speech
+def text_to_speech(text):
+    tts = gTTS(text)
+    audio_buffer = BytesIO()
+    tts.write_to_fp(audio_buffer)
+    audio_buffer.seek(0)
+    return audio_buffer
+
+# Function to set download link for audio file
+def get_audio_download_link(buffer, filename="audio.mp3"):
+    buffer.seek(0)
+    b64_data = base64.b64encode(buffer.read()).decode()
+    href = f'<a href="data:audio/mp3;base64,{b64_data}" download="{filename}">Download audio file</a>'
+    return href
+
+# Create Streamlit application
+st.title('Text to Speech Converter')
+
+# Input for text from user
+user_input_text = st.text_area("Enter the text you want to convert to speech:")
+
+if st.button('Convert'):
+    if user_input_text:
+        # Call function to convert text to speech
+        audio_buffer = text_to_speech(user_input_text)
+
+        # Display audio player and download link
+        st.audio(audio_buffer, format="audio/mp3", start_time=0)
+        st.markdown(get_audio_download_link(audio_buffer), unsafe_allow_html=True)
+    else:
+        st.warning('Please input some text to convert.')
+
+
+