Create tts_script.py

tts_script.py

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+import time
+import requests
+import pathlib
+from io import BytesIO
+from playsound import playsound
+from webscout import exceptions
+from webscout.AIbase import TTSProvider
+from webscout.litagent import LitAgent
+from concurrent.futures import ThreadPoolExecutor, as_completed
+"""
+Text processing utilities for TTS providers.
+"""
+from typing import List, Dict, Tuple, Set, Optional, Pattern
+import re
+
+
+class SentenceTokenizer:
+    """Advanced sentence tokenizer with support for complex cases and proper formatting."""
+    
+    def __init__(self) -> None:
+        # Common abbreviations by category
+        self.TITLES: Set[str] = {
+            'mr', 'mrs', 'ms', 'dr', 'prof', 'rev', 'sr', 'jr', 'esq',
+            'hon', 'pres', 'gov', 'atty', 'supt', 'det', 'rev', 'col','maj', 'gen', 'capt', 'cmdr',
+            'lt', 'sgt', 'cpl', 'pvt'
+        }
+        
+        self.ACADEMIC: Set[str] = {
+            'ph.d', 'phd', 'm.d', 'md', 'b.a', 'ba', 'm.a', 'ma', 'd.d.s', 'dds',
+            'm.b.a', 'mba', 'b.sc', 'bsc', 'm.sc', 'msc', 'llb', 'll.b', 'bl'
+        }
+        
+        self.ORGANIZATIONS: Set[str] = {
+            'inc', 'ltd', 'co', 'corp', 'llc', 'llp', 'assn', 'bros', 'plc', 'cos',
+            'intl', 'dept', 'est', 'dist', 'mfg', 'div'
+        }
+        
+        self.MONTHS: Set[str] = {
+            'jan', 'feb', 'mar', 'apr', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec'
+        }
+        
+        self.UNITS: Set[str] = {
+            'oz', 'pt', 'qt', 'gal', 'ml', 'cc', 'km', 'cm', 'mm', 'ft', 'in',
+            'kg', 'lb', 'lbs', 'hz', 'khz', 'mhz', 'ghz', 'kb', 'mb', 'gb', 'tb'
+        }
+        
+        self.TECHNOLOGY: Set[str] = {
+            'v', 'ver', 'app', 'sys', 'dir', 'exe', 'lib', 'api', 'sdk', 'url',
+            'cpu', 'gpu', 'ram', 'rom', 'hdd', 'ssd', 'lan', 'wan', 'sql', 'html'
+        }
+        
+        self.MISC: Set[str] = {
+            'vs', 'etc', 'ie', 'eg', 'no', 'al', 'ca', 'cf', 'pp', 'est', 'st',
+            'approx', 'appt', 'apt', 'dept', 'depts', 'min', 'max', 'avg'
+        }
+
+        # Combine all abbreviations
+        self.all_abbreviations: Set[str] = (
+            self.TITLES | self.ACADEMIC | self.ORGANIZATIONS |
+            self.MONTHS | self.UNITS | self.TECHNOLOGY | self.MISC
+        )
+
+        # Special patterns
+        self.ELLIPSIS: str = r'\.{2,}|…'
+        self.URL_PATTERN: str = (
+            r'(?:https?:\/\/|www\.)[\w\-\.]+\.[a-zA-Z]{2,}(?:\/[^\s]*)?'
+        )
+        self.EMAIL_PATTERN: str = r'[\w\.-]+@[\w\.-]+\.\w+'
+        self.NUMBER_PATTERN: str = (
+            r'\d+(?:\.\d+)?(?:%|°|km|cm|mm|m|kg|g|lb|ft|in|mph|kmh|hz|mhz|ghz)?'
+        )
+        
+        # Quote and bracket pairs
+        self.QUOTE_PAIRS: Dict[str, str] = {
+            '"': '"', "'": "'", '"': '"', "「": "」", "『": "』",
+            "«": "»", "‹": "›", "'": "'", "‚": "'"
+        }
+        
+        self.BRACKETS: Dict[str, str] = {
+            '(': ')', '[': ']', '{': '}', '⟨': '⟩', '「': '」',
+            '『': '』', '【': '】', '〖': '〗', '｢': '｣'
+        }
+
+        # Compile regex patterns
+        self._compile_patterns()
+
+    def _compile_patterns(self) -> None:
+        """Compile regex patterns for better performance."""
+        # Pattern for finding potential sentence boundaries
+        self.SENTENCE_END: Pattern = re.compile(
+            r'''
+            # Group for sentence endings
+            (?:
+                # Standard endings with optional quotes/brackets
+                (?<=[.!?])[\"\'\)\]\}»›」』\s]*
+                
+                # Ellipsis
+                |(?:\.{2,}|…)
+                
+                # Asian-style endings
+                |(?<=[。！？」』】\s])
+            )
+            
+            # Must be followed by whitespace and capital letter or number
+            (?=\s+(?:[A-Z0-9]|["'({[\[「『《‹〈][A-Z]))
+            ''',
+            re.VERBOSE
+        )
+
+        # Pattern for abbreviations
+        abbrev_pattern = '|'.join(re.escape(abbr) for abbr in self.all_abbreviations)
+        self.ABBREV_PATTERN: Pattern = re.compile(
+            fr'\b(?:{abbrev_pattern})\.?',
+            re.IGNORECASE
+        )
+
+    def _protect_special_cases(self, text: str) -> Tuple[str, Dict[str, str]]:
+        """Protect URLs, emails, and other special cases from being split."""
+        protected = text
+        placeholders: Dict[str, str] = {}
+        counter = 0
+
+        # Protect URLs and emails
+        for pattern in [self.URL_PATTERN, self.EMAIL_PATTERN]:
+            for match in re.finditer(pattern, protected):
+                placeholder = f'__PROTECTED_{counter}__'
+                placeholders[placeholder] = match.group()
+                protected = protected.replace(match.group(), placeholder)
+                counter += 1
+
+        # Protect quoted content
+        stack = []
+        protected_chars = list(protected)
+        i = 0
+        while i < len(protected_chars):
+            char = protected_chars[i]
+            if char in self.QUOTE_PAIRS:
+                stack.append((char, i))
+            elif stack and char == self.QUOTE_PAIRS[stack[-1][0]]:
+                start_quote, start_idx = stack.pop()
+                content = ''.join(protected_chars[start_idx:i + 1])
+                placeholder = f'__PROTECTED_{counter}__'
+                placeholders[placeholder] = content
+                protected_chars[start_idx:i + 1] = list(placeholder)
+                counter += 1
+            i += 1
+
+        return ''.join(protected_chars), placeholders
+
+    def _restore_special_cases(self, text: str, placeholders: Dict[str, str]) -> str:
+        """Restore protected content."""
+        restored = text
+        for placeholder, original in placeholders.items():
+            restored = restored.replace(placeholder, original)
+        return restored
+
+    def _handle_abbreviations(self, text: str) -> str:
+        """Handle abbreviations to prevent incorrect sentence splitting."""
+        def replace_abbrev(match: re.Match) -> str:
+            abbr = match.group().lower().rstrip('.')
+            if abbr in self.all_abbreviations:
+                return match.group().replace('.', '__DOT__')
+            return match.group()
+
+        return self.ABBREV_PATTERN.sub(replace_abbrev, text)
+
+    def _normalize_whitespace(self, text: str) -> str:
+        """Normalize whitespace while preserving paragraph breaks."""
+        # Replace multiple newlines with special marker
+        text = re.sub(r'\n\s*\n', ' __PARA__ ', text)
+        # Normalize remaining whitespace
+        text = re.sub(r'\s+', ' ', text)
+        return text.strip()
+
+    def _restore_formatting(self, sentences: List[str]) -> List[str]:
+        """Restore original formatting and clean up sentences."""
+        restored = []
+        for sentence in sentences:
+            # Restore dots in abbreviations
+            sentence = sentence.replace('__DOT__', '.')
+            
+            # Restore paragraph breaks
+            sentence = sentence.replace('__PARA__', '\n\n')
+            
+            # Clean up whitespace
+            sentence = re.sub(r'\s+', ' ', sentence).strip()
+            
+            # Capitalize first letter if it's lowercase and not an abbreviation
+            words = sentence.split()
+            if words and words[0].lower() not in self.all_abbreviations:
+                sentence = sentence[0].upper() + sentence[1:]
+            
+            if sentence:
+                restored.append(sentence)
+        
+        return restored
+
+    def tokenize(self, text: str) -> List[str]:
+        """
+        Split text into sentences while handling complex cases.
+        
+        Args:
+            text (str): Input text to split into sentences.
+            
+        Returns:
+            List[str]: List of properly formatted sentences.
+        """
+        if not text or not text.strip():
+            return []
+
+        # Step 1: Protect special cases
+        protected_text, placeholders = self._protect_special_cases(text)
+        
+        # Step 2: Normalize whitespace
+        protected_text = self._normalize_whitespace(protected_text)
+        
+        # Step 3: Handle abbreviations
+        protected_text = self._handle_abbreviations(protected_text)
+        
+        # Step 4: Split into potential sentences
+        potential_sentences = self.SENTENCE_END.split(protected_text)
+        
+        # Step 5: Process and restore formatting
+        sentences = self._restore_formatting(potential_sentences)
+        
+        # Step 6: Restore special cases
+        sentences = [self._restore_special_cases(s, placeholders) for s in sentences]
+        
+        # Step 7: Post-process sentences
+        final_sentences = []
+        current_sentence = []
+        
+        for sentence in sentences:
+            # Skip empty sentences
+            if not sentence.strip():
+                continue
+                
+            # Check if sentence might be continuation of previous
+            if current_sentence and sentence[0].islower():
+                current_sentence.append(sentence)
+            else:
+                if current_sentence:
+                    final_sentences.append(' '.join(current_sentence))
+                current_sentence = [sentence]
+        
+        # Add last sentence if exists
+        if current_sentence:
+            final_sentences.append(' '.join(current_sentence))
+        
+        return final_sentences
+
+
+def split_sentences(text: str) -> List[str]:
+    """
+    Convenience function to split text into sentences using SentenceTokenizer.
+    
+    Args:
+        text (str): Input text to split into sentences.
+    
+    Returns:
+        List[str]: List of properly formatted sentences.
+    """
+    tokenizer = SentenceTokenizer()
+    return tokenizer.tokenize(text)
+
+
+class ElevenlabsTTS(TTSProvider): 
+    """
+    Text-to-speech provider using the ElevenlabsTTS API.
+    """
+    # Request headers
+    headers: dict[str, str] = {
+        "User-Agent": LitAgent().random()
+    }
+    cache_dir = pathlib.Path("./audio_cache")
+    all_voices: dict[str, str] = {"Brian": "nPczCjzI2devNBz1zQrb", "Alice":"Xb7hH8MSUJpSbSDYk0k2", "Bill":"pqHfZKP75CvOlQylNhV4", "Callum":"N2lVS1w4EtoT3dr4eOWO", "Charlie":"IKne3meq5aSn9XLyUdCD", "Charlotte":"XB0fDUnXU5powFXDhCwa", "Chris":"iP95p4xoKVk53GoZ742B", "Daniel":"onwK4e9ZLuTAKqWW03F9", "Eric":"cjVigY5qzO86Huf0OWal", "George":"JBFqnCBsd6RMkjVDRZzb", "Jessica":"cgSgspJ2msm6clMCkdW9", "Laura":"FGY2WhTYpPnrIDTdsKH5", "Liam":"TX3LPaxmHKxFdv7VOQHJ", "Lily":"pFZP5JQG7iQjIQuC4Bku", "Matilda":"XrExE9yKIg1WjnnlVkGX", "Sarah":"EXAVITQu4vr4xnSDxMaL", "Will":"bIHbv24MWmeRgasZH58o", "Neal":"Zp1aWhL05Pi5BkhizFC3"}
+
+    def __init__(self, timeout: int = 20, proxies: dict = None):
+        """Initializes the ElevenlabsTTS TTS client."""
+        self.session = requests.Session()
+        self.session.headers.update(self.headers)
+        if proxies:
+            self.session.proxies.update(proxies)
+        self.timeout = timeout
+        self.params = {'allow_unauthenticated': '1'}
+
+    def tts(self, text: str, voice: str = "Brian", verbose:bool = True) -> str:
+        """
+        Converts text to speech using the ElevenlabsTTS API and saves it to a file.
+        """
+        assert (
+            voice in self.all_voices
+        ), f"Voice '{voice}' not one of [{', '.join(self.all_voices.keys())}]"
+
+        filename = self.cache_dir / f"{int(time.time())}.mp3"  
+
+        # Split text into sentences
+        sentences = split_sentences(text)
+
+        # Function to request audio for each chunk
+        def generate_audio_for_chunk(part_text: str, part_number: int):
+            while True:
+                try:
+                    json_data = {'text': part_text, 'model_id': 'eleven_multilingual_v2'}
+                    response = self.session.post(f'https://api.elevenlabs.io/v1/text-to-speech/{self.all_voices[voice]}',params=self.params, headers=self.headers, json=json_data, timeout=self.timeout)
+                    response.raise_for_status()
+
+                    # Create the audio_cache directory if it doesn't exist
+                    self.cache_dir.mkdir(parents=True, exist_ok=True) 
+
+                    # Check if the request was successful
+                    if response.ok and response.status_code == 200:
+                        return part_number, response.content
+                    else:
+                        raise exceptions.FailedToGenerateResponseError(
+                            f"Failed to generate audio for chunk {part_number}: {response.status_code}"
+                        )
+                except requests.RequestException as e:
+                    time.sleep(1)
+                    continue
+
+        try:
+            # Using ThreadPoolExecutor to handle requests concurrently
+            with ThreadPoolExecutor() as executor:
+                futures = {executor.submit(generate_audio_for_chunk, sentence.strip(), chunk_num): chunk_num 
+                        for chunk_num, sentence in enumerate(sentences, start=1)}
+                
+                # Dictionary to store results with order preserved
+                audio_chunks = {}
+
+                for future in as_completed(futures):
+                    chunk_num = futures[future]
+                    try:
+                        part_number, audio_data = future.result()
+                        audio_chunks[part_number] = audio_data
+                    except Exception as e:
+                        raise exceptions.FailedToGenerateResponseError(
+                            f"Failed to generate audio for chunk {chunk_num}: {e}"
+                        )
+
+            # Combine audio chunks in the correct sequence
+            combined_audio = BytesIO()
+            for part_number in sorted(audio_chunks.keys()):
+                combined_audio.write(audio_chunks[part_number])
+
+            # Save the combined audio data to a single file
+            with open(filename, 'wb') as f:
+                f.write(combined_audio.getvalue())
+            return filename.as_posix()
+
+        except requests.exceptions.RequestException as e:
+            raise exceptions.FailedToGenerateResponseError(
+                f"Failed to perform the operation: {e}"
+            )
+        
+
+# Example usage
+if __name__ == "__main__":
+    elevenlabs = ElevenlabsTTS()
+    text = "This is a test of the ElevenlabsTTS text-to-speech API. It supports multiple sentences and advanced logging."
+
+    audio_file = elevenlabs.tts(text, voice="Brian")