Add script for curl-ing sentence by sentence TTS for Buffett Partnership Letters.

ffmpeg_input.py

@@ -0,0 +1,32 @@
+import requests
+from urllib.parse import quote
+import subprocess
+import os
+
+speaker_id="p230"
+
+outputs = os.listdir('./outputs')
+inputs = []
+
+for output in outputs:
+ padded_fn = f"output-{output.split('-')[1].split('.')[0].zfill(2)}.wav"
+ if (padded_fn != output):
+     subprocess.run(["mv", "./outputs/"+output, "./outputs/"+padded_fn])
+
+outputs = [f"output-{x.split('-')[1].split('.')[0].zfill(2)}.wav" for x in outputs]
+print(outputs)
+outputs.sort()
+
+with open('inputs.txt', 'w') as f:
+    for (i, output) in enumerate(outputs):
+        f.write(f"file './outputs/{output}'\n")
+
+    #inputs.extend(['-i', './outputs/'+ output])
+    f.flush()
+
+#ffmpeg_cmd = ['ffmpeg']
+#ffmpeg_cmd.extend(inputs)
+#ffmpeg_cmd.extend(["./outputs/output.mp3"])
+# print(ffmpeg_cmd)
+#subprocess.run(ffmpeg_cmd)
+

speak.py

@@ -0,0 +1,19 @@
+import requests
+from urllib.parse import quote
+import subprocess
+import os
+
+speaker_id="p230"
+
+
+with open('./annual-letters/bpl-1958.txt') as f:
+    lines = f.readlines()
+    all_text = ''.join(lines)
+    sentences = all_text.split('.')
+    count = len(sentences)
+
+    for (i, sentence) in enumerate(sentences):
+        text_prompt = quote(sentence)
+        query_string = f"http://localhost:5002/api/tts?text={text_prompt}&speaker_id={speaker_id}&style_wav=&language_id="
+        subprocess.run(['curl', query_string, '-o', f"./outputs/output-{str(i).zfill(3)}.wav"])
+