Updated voice generation to direct HTTP request

app.py

@@ -8,7 +8,7 @@ import gradio as gr
 
 def generate_video(text, auth_openai, auth_elevenlabs, auth_replicate, auth_rev):
     generated_story = story.text2story(text, auth_openai)
-    narrator.text2voice(generated_story, "audio_out.mp3", auth_elevenlabs, 5)
+    narrator.text2voice(generated_story, "audio_out.mp3", auth_elevenlabs)
     deforum_str, max_frames = subtitles.audio2subtitle(auth_rev)
     animation.story2video(deforum_str, max_frames, auth_replicate)
     # generated_music = bgm.text2audio(text=text, duration=20, guidance_scale=5, random_seed=24, n_candidates=3)

narrator.py

@@ -1,9 +1,27 @@
-from elevenlabslib import *
+import requests
 import os
 
-def text2voice(prompt, path, key, voiceIndex):
-    user = ElevenLabsUser(key)
-    voice = user.get_available_voices()[voiceIndex]
-    audioBytes = voice.generate_audio_bytes(prompt)
-    with open(path, "wb") as binary_file:
-        binary_file.write(audioBytes)
+CHUNK_SIZE = 1024
+url = "https://api.elevenlabs.io/v1/text-to-speech/TxGEqnHWrfWFTfGW9XjX"
+
+def text2voice(prompt, path, key):
+    headers = {
+        "Accept": "audio/mpeg",
+        "Content-Type": "application/json",
+        "xi-api-key": f"{key}"
+    }
+
+    data = {
+        "text": f"{prompt}",
+        "voice_settings": {
+            "stability": 0,
+            "similarity_boost": 0
+        }
+    }
+
+    response = requests.post(url, json=data, headers=headers, stream=True)
+
+    with open(path, 'wb') as f:
+        for chunk in response.iter_content(chunk_size=CHUNK_SIZE):
+            if chunk:
+                f.write(chunk)