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from groq import Groq |
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from pydantic import BaseModel, ValidationError |
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from typing import List, Literal |
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import os |
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import tiktoken |
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import json |
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import re |
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from gtts import gTTS |
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import tempfile |
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groq_client = Groq(api_key=os.environ["GROQ_API_KEY"]) |
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tokenizer = tiktoken.get_encoding("cl100k_base") |
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class DialogueItem(BaseModel): |
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speaker: Literal["Maria", "Sarah"] |
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text: str |
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class Dialogue(BaseModel): |
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dialogue: List[DialogueItem] |
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def truncate_text(text, max_tokens=2048): |
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tokens = tokenizer.encode(text) |
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if len(tokens) > max_tokens: |
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return tokenizer.decode(tokens[:max_tokens]) |
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return text |
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def generate_script(system_prompt: str, input_text: str, tone: str, target_length: str): |
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input_text = truncate_text(input_text) |
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word_limit = 300 if target_length == "Short (1-2 min)" else 750 |
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prompt = f""" |
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{system_prompt} |
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TONE: {tone} |
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TARGET LENGTH: {target_length} (approximately {word_limit} words) |
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INPUT TEXT: {input_text} |
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Generate a complete, well-structured podcast script that: |
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1. Starts with a proper introduction |
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2. Covers the main points from the input text |
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3. Has a natural flow of conversation between Maria and Sarah |
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4. Concludes with a summary and sign-off |
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5. Fits within the {word_limit} word limit for the target length of {target_length} |
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Ensure the script is not abruptly cut off and forms a complete conversation. |
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""" |
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response = groq_client.chat.completions.create( |
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messages=[ |
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{"role": "system", "content": prompt}, |
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], |
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model="llama-3.1-70b-versatile", |
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max_tokens=2048, |
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temperature=0.7 |
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) |
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content = response.choices[0].message.content |
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content = re.sub(r'```json\s*|\s*```', '', content) |
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try: |
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json_data = json.loads(content) |
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dialogue = Dialogue.model_validate(json_data) |
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except json.JSONDecodeError as json_error: |
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match = re.search(r'\{.*\}', content, re.DOTALL) |
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if match: |
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try: |
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json_data = json.loads(match.group()) |
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dialogue = Dialogue.model_validate(json_data) |
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except (json.JSONDecodeError, ValidationError) as e: |
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raise ValueError(f"Failed to parse dialogue JSON: {e}\nContent: {content}") |
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else: |
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raise ValueError(f"Failed to find valid JSON in the response: {content}") |
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except ValidationError as e: |
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raise ValueError(f"Failed to validate dialogue structure: {e}\nContent: {content}") |
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return dialogue |
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def generate_audio(text: str, speaker: str) -> str: |
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tts = gTTS(text=text, lang='en', tld='com') |
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio: |
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tts.save(temp_audio.name) |
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return temp_audio.name |
