feat: Improve TTS audio generation with enhanced progress tracking and error handling
Browse files
ui/chatterbox/generate_tts_audio.py
CHANGED
|
@@ -11,79 +11,103 @@ def generate_tts_audio(text_input: str, audio_prompt_input, progress=None):
|
|
| 11 |
|
| 12 |
if not text_input or len(text_input.strip()) == 0:
|
| 13 |
raise gr.Error("Please enter some text to synthesize.")
|
| 14 |
-
|
| 15 |
if len(text_input) > 1000:
|
| 16 |
raise gr.Error("Text is too long. Maximum 1000 characters allowed.")
|
| 17 |
|
| 18 |
-
if progress:
|
| 19 |
-
progress(0.1, desc="Preparing request...")
|
| 20 |
|
| 21 |
try:
|
| 22 |
if audio_prompt_input is None:
|
| 23 |
-
if progress:
|
| 24 |
-
progress(0.3, desc="Sending request to API...")
|
| 25 |
payload = {"text": text_input}
|
| 26 |
response = requests.post(
|
| 27 |
GENERATE_AUDIO_ENDPOINT,
|
| 28 |
json=payload,
|
| 29 |
headers={"Content-Type": "application/json"},
|
| 30 |
-
timeout=
|
|
|
|
| 31 |
)
|
| 32 |
if response.status_code != 200:
|
| 33 |
raise gr.Error(f"API Error: {response.status_code} - {response.text}")
|
| 34 |
|
| 35 |
-
if progress:
|
| 36 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
|
|
|
|
| 38 |
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_file:
|
| 39 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 40 |
temp_path = temp_file.name
|
| 41 |
-
|
|
|
|
| 42 |
audio_data, sample_rate = sf.read(temp_path)
|
| 43 |
os.unlink(temp_path)
|
| 44 |
-
|
| 45 |
-
if progress:
|
| 46 |
-
progress(1.0, desc="Complete!")
|
| 47 |
-
|
| 48 |
return (sample_rate, audio_data)
|
| 49 |
-
else:
|
| 50 |
-
if progress:
|
| 51 |
-
progress(0.3, desc="Preparing voice prompt...")
|
| 52 |
|
|
|
|
|
|
|
| 53 |
files = {'text': (None, text_input)}
|
| 54 |
with open(audio_prompt_input, 'rb') as f:
|
| 55 |
audio_content = f.read()
|
| 56 |
files['voice_prompt'] = ('voice_prompt.wav', audio_content, 'audio/wav')
|
| 57 |
|
| 58 |
-
if progress:
|
| 59 |
-
progress(0.5, desc="Sending request with voice cloning...")
|
| 60 |
-
|
| 61 |
response = requests.post(
|
| 62 |
GENERATE_WITH_FILE_ENDPOINT,
|
| 63 |
files=files,
|
| 64 |
-
timeout=
|
|
|
|
| 65 |
)
|
| 66 |
if response.status_code != 200:
|
| 67 |
raise gr.Error(f"API Error: {response.status_code} - {response.text}")
|
| 68 |
|
| 69 |
-
if progress:
|
| 70 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 71 |
|
|
|
|
| 72 |
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_file:
|
| 73 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 74 |
temp_path = temp_file.name
|
| 75 |
-
|
| 76 |
audio_data, sample_rate = sf.read(temp_path)
|
| 77 |
os.unlink(temp_path)
|
| 78 |
-
|
| 79 |
-
if progress:
|
| 80 |
-
progress(1.0, desc="Voice cloning complete!")
|
| 81 |
-
|
| 82 |
return (sample_rate, audio_data)
|
| 83 |
|
| 84 |
except requests.exceptions.Timeout:
|
| 85 |
-
raise gr.Error("
|
| 86 |
except requests.exceptions.ConnectionError:
|
| 87 |
-
raise gr.Error("
|
| 88 |
except Exception as e:
|
| 89 |
-
raise gr.Error(f"
|
|
|
|
| 11 |
|
| 12 |
if not text_input or len(text_input.strip()) == 0:
|
| 13 |
raise gr.Error("Please enter some text to synthesize.")
|
|
|
|
| 14 |
if len(text_input) > 1000:
|
| 15 |
raise gr.Error("Text is too long. Maximum 1000 characters allowed.")
|
| 16 |
|
| 17 |
+
if progress: progress(0.1, desc="Preparing request...")
|
|
|
|
| 18 |
|
| 19 |
try:
|
| 20 |
if audio_prompt_input is None:
|
| 21 |
+
if progress: progress(0.3, desc="Sending request to API...")
|
|
|
|
| 22 |
payload = {"text": text_input}
|
| 23 |
response = requests.post(
|
| 24 |
GENERATE_AUDIO_ENDPOINT,
|
| 25 |
json=payload,
|
| 26 |
headers={"Content-Type": "application/json"},
|
| 27 |
+
timeout=120,
|
| 28 |
+
stream=True
|
| 29 |
)
|
| 30 |
if response.status_code != 200:
|
| 31 |
raise gr.Error(f"API Error: {response.status_code} - {response.text}")
|
| 32 |
|
| 33 |
+
if progress: progress(0.6, desc="Streaming audio response...")
|
| 34 |
+
|
| 35 |
+
# Get content length if available for progress tracking
|
| 36 |
+
content_length = response.headers.get('content-length')
|
| 37 |
+
if content_length:
|
| 38 |
+
content_length = int(content_length)
|
| 39 |
|
| 40 |
+
bytes_downloaded = 0
|
| 41 |
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_file:
|
| 42 |
+
for chunk in response.iter_content(chunk_size=8192):
|
| 43 |
+
if chunk:
|
| 44 |
+
temp_file.write(chunk)
|
| 45 |
+
bytes_downloaded += len(chunk)
|
| 46 |
+
|
| 47 |
+
# Update progress based on bytes downloaded
|
| 48 |
+
if content_length and progress:
|
| 49 |
+
download_progress = min(0.3, (bytes_downloaded / content_length) * 0.3)
|
| 50 |
+
progress(0.6 + download_progress, desc=f"Downloading audio... ({bytes_downloaded // 1024}KB)")
|
| 51 |
+
elif progress:
|
| 52 |
+
# If no content length, just show bytes downloaded
|
| 53 |
+
progress(0.6, desc=f"Downloading audio... ({bytes_downloaded // 1024}KB)")
|
| 54 |
+
|
| 55 |
temp_path = temp_file.name
|
| 56 |
+
|
| 57 |
+
if progress: progress(0.9, desc="Processing audio...")
|
| 58 |
audio_data, sample_rate = sf.read(temp_path)
|
| 59 |
os.unlink(temp_path)
|
| 60 |
+
if progress: progress(1.0, desc="Complete!")
|
|
|
|
|
|
|
|
|
|
| 61 |
return (sample_rate, audio_data)
|
|
|
|
|
|
|
|
|
|
| 62 |
|
| 63 |
+
else:
|
| 64 |
+
if progress: progress(0.3, desc="Preparing voice prompt...")
|
| 65 |
files = {'text': (None, text_input)}
|
| 66 |
with open(audio_prompt_input, 'rb') as f:
|
| 67 |
audio_content = f.read()
|
| 68 |
files['voice_prompt'] = ('voice_prompt.wav', audio_content, 'audio/wav')
|
| 69 |
|
| 70 |
+
if progress: progress(0.5, desc="Sending request with voice cloning...")
|
|
|
|
|
|
|
| 71 |
response = requests.post(
|
| 72 |
GENERATE_WITH_FILE_ENDPOINT,
|
| 73 |
files=files,
|
| 74 |
+
timeout=180,
|
| 75 |
+
stream=True
|
| 76 |
)
|
| 77 |
if response.status_code != 200:
|
| 78 |
raise gr.Error(f"API Error: {response.status_code} - {response.text}")
|
| 79 |
|
| 80 |
+
if progress: progress(0.8, desc="Streaming cloned voice response...")
|
| 81 |
+
|
| 82 |
+
# Get content length if available for progress tracking
|
| 83 |
+
content_length = response.headers.get('content-length')
|
| 84 |
+
if content_length:
|
| 85 |
+
content_length = int(content_length)
|
| 86 |
|
| 87 |
+
bytes_downloaded = 0
|
| 88 |
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_file:
|
| 89 |
+
for chunk in response.iter_content(chunk_size=8192):
|
| 90 |
+
if chunk:
|
| 91 |
+
temp_file.write(chunk)
|
| 92 |
+
bytes_downloaded += len(chunk)
|
| 93 |
+
|
| 94 |
+
# Update progress based on bytes downloaded for voice cloning
|
| 95 |
+
if content_length and progress:
|
| 96 |
+
download_progress = min(0.15, (bytes_downloaded / content_length) * 0.15)
|
| 97 |
+
progress(0.8 + download_progress, desc=f"Downloading cloned audio... ({bytes_downloaded // 1024}KB)")
|
| 98 |
+
elif progress:
|
| 99 |
+
progress(0.8, desc=f"Downloading cloned audio... ({bytes_downloaded // 1024}KB)")
|
| 100 |
+
|
| 101 |
temp_path = temp_file.name
|
| 102 |
+
|
| 103 |
audio_data, sample_rate = sf.read(temp_path)
|
| 104 |
os.unlink(temp_path)
|
| 105 |
+
if progress: progress(1.0, desc="Voice cloning complete!")
|
|
|
|
|
|
|
|
|
|
| 106 |
return (sample_rate, audio_data)
|
| 107 |
|
| 108 |
except requests.exceptions.Timeout:
|
| 109 |
+
raise gr.Error("Request timed out. The API might be under heavy load. Please try again.")
|
| 110 |
except requests.exceptions.ConnectionError:
|
| 111 |
+
raise gr.Error("Unable to connect to the API. Please check if the endpoint URL is correct.")
|
| 112 |
except Exception as e:
|
| 113 |
+
raise gr.Error(f"Error generating audio: {str(e)}")
|