Update app.py

app.py

@@ -529,14 +529,45 @@ def show_map_if_details(history, choice):
 
 
 
-def preprocess_for_tts(text):
-    # Remove the word "Link" and any URLs from the text
-    text = re.sub(r'\bLink\b', '', text)  # Remove the word "Link"
-    text = re.sub(r'http\S+', '', text)  # Remove URLs
-    return text.strip()  # Remove any extra spaces
+# def preprocess_for_tts(text):
+#     # Remove the word "Link" and any URLs from the text
+#     text = re.sub(r'\bLink\b', '', text)  # Remove the word "Link"
+#     text = re.sub(r'http\S+', '', text)  # Remove URLs
+#     return text.strip()  # Remove any extra spaces
+
+# def generate_audio_elevenlabs(text):
+#     XI_API_KEY = os.getenv('ELEVENLABS_API')
+#     VOICE_ID = 'd9MIrwLnvDeH7aZb61E9'
+#     tts_url = f"https://api.elevenlabs.io/v1/text-to-speech/{VOICE_ID}/stream"
+#     headers = {
+#         "Accept": "application/json",
+#         "xi-api-key": XI_API_KEY
+#     }
+#     data = {
+#         "text": preprocess_for_tts(text),  # Apply preprocessing before sending to TTS
+#         "model_id": "eleven_multilingual_v2",
+#         "voice_settings": {
+#             "stability": 1.0,
+#             "similarity_boost": 0.0,
+#             "style": 0.60,
+#             "use_speaker_boost": False
+#         }
+#     }
+#     response = requests.post(tts_url, headers=headers, json=data, stream=True)
+#     if response.ok:
+#         with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as f:
+#             for chunk in response.iter_content(chunk_size=1024):
+#                 if chunk:
+#                     f.write(chunk)
+#             return f.name
+#     else:
+#         logging.error(f"Error generating audio: {response.text}")
+#         return None
+
+
 
 def generate_audio_elevenlabs(text):
-    XI_API_KEY = os.getenv('ELEVENLABS_API')
+    XI_API_KEY = os.environ['ELEVENLABS_API']
     VOICE_ID = 'd9MIrwLnvDeH7aZb61E9'
     tts_url = f"https://api.elevenlabs.io/v1/text-to-speech/{VOICE_ID}/stream"
     headers = {
@@ -544,7 +575,7 @@ def generate_audio_elevenlabs(text):
         "xi-api-key": XI_API_KEY
     }
     data = {
-        "text": preprocess_for_tts(text),  # Apply preprocessing before sending to TTS
+        "text": str(text),
         "model_id": "eleven_multilingual_v2",
         "voice_settings": {
             "stability": 1.0,
@@ -555,17 +586,26 @@ def generate_audio_elevenlabs(text):
     }
     response = requests.post(tts_url, headers=headers, json=data, stream=True)
     if response.ok:
+        audio_segments = []
         with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as f:
             for chunk in response.iter_content(chunk_size=1024):
                 if chunk:
                     f.write(chunk)
-            return f.name
+                    audio_segments.append(chunk)
+            temp_audio_path = f.name
+
+        # Combine all audio chunks into a single file
+        combined_audio = AudioSegment.from_file(temp_audio_path, format="mp3")
+        combined_audio_path = os.path.join(tempfile.gettempdir(), "elevenlabs_combined_audio.mp3")
+        combined_audio.export(combined_audio_path, format="mp3")
+
+        logging.debug(f"Audio saved to {combined_audio_path}")
+        return combined_audio_path
     else:
         logging.error(f"Error generating audio: {response.text}")
         return None
 
 
-
 repo_id = "parler-tts/parler-tts-mini-expresso"
 
 parler_model = ParlerTTSForConditionalGeneration.from_pretrained(repo_id).to(device)