Upload synthesize_speech.py

synthesize_speech.py

@@ -0,0 +1,49 @@
+import boto3
+import streamlit as st
+from contextlib import closing
+import os
+import sys
+import subprocess
+from tempfile import gettempdir
+
+Session = boto3.Session(
+        aws_access_key_id = st.secrets['aws_access_key_id'],
+        aws_secret_access_key = st.secrets['aws_secret_access_key'],
+        region_name = "us-east-1"
+    )
+
+def synthesize_speech(text):
+    Polly = Session.client("polly")
+    response = Polly.synthesize_speech(
+        Text=text,
+        OutputFormat="mp3",
+        VoiceId="Joanna")
+    if "AudioStream" in response:
+        # Note: Closing the stream is important because the service throttles on the
+        # number of parallel connections. Here we are using contextlib.closing to
+        # ensure the close method of the stream object will be called automatically
+        # at the end of the with statement's scope.
+        with closing(response["AudioStream"]) as stream:
+            output = os.path.join(gettempdir(), "speech.mp3")
+
+            try:
+                # Open a file for writing the output as a binary stream
+                with open(output, "wb") as file:
+                    file.write(stream.read())
+            except IOError as error:
+                # Could not write to file, exit gracefully
+                print(error)
+                sys.exit(-1)
+    else:
+        # The response didn't contain audio data, exit gracefully
+        print("Could not stream audio")
+        sys.exit(-1)
+    '''
+    # Play the audio using the platform's default player
+    if sys.platform == "win32":
+        os.startfile(output)
+    else:
+        # The following works on macOS and Linux. (Darwin = mac, xdg-open = linux).
+        opener = "open" if sys.platform == "darwin" else "xdg-open"
+        subprocess.call([opener, output])'''
+    return output