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import asyncio
import os
import time
from dataclasses import dataclass
from typing import List, Optional, AsyncGenerator, Tuple
import gradio as gr
from dotenv import load_dotenv
from langchain_openai import ChatOpenAI
from rich.console import Console
from rich.panel import Panel
from rich.text import Text
from logger import setup_logger, log_execution_time, log_async_execution_time
from api_clients import OpenRouterClient, ElevenLabsClient
load_dotenv()
console = Console()
logger = setup_logger("interface")
@log_async_execution_time(logger)
async def create_podcast(
url: str,
prompt: str,
elevenlabs_key: str,
voice_id: str,
openrouter_key: str,
model_id: str,
) -> Tuple[Optional[str], str]:
"""
Create a podcast through a multi-step process:
1. Content extraction from URL
2. Script generation using AI
3. Voice synthesis
"""
logger.info(f"Starting podcast creation for URL: {url}")
logger.debug(f"Parameters - Voice: {voice_id}, Model: {model_id}")
logger.debug(f"Prompt length: {len(prompt)} chars")
try:
# Initialize clients with validation
logger.debug("Initializing API clients")
openrouter = OpenRouterClient(openrouter_key)
elevenlabs = ElevenLabsClient(elevenlabs_key)
# Phase 1: Content scraping
logger.info("Phase 1/3: Content scraping")
if not url.startswith(('http://', 'https://')):
raise ValueError("URL must start with http:// or https://")
logger.debug("Initializing LLM and browser agent")
llm = ChatOpenAI(model="gpt-4")
task = f"Visit this URL: {url} and extract the main content. Summarize it in a clear and concise way."
content = await llm.apredict(task)
logger.debug(f"Scraped content length: {len(content)} chars")
# Phase 2: Script generation
logger.info("Phase 2/3: Script generation")
script = await openrouter.generate_script(content, prompt, model_id)
logger.debug(f"Generated script length: {len(script)} chars")
# Phase 3: Audio synthesis
logger.info("Phase 3/3: Audio generation")
audio = await elevenlabs.generate_audio(script, voice_id)
logger.debug(f"Generated audio data received")
# Save output
audio_path = f"podcast_{int(time.time())}.mp3"
logger.debug(f"Saving audio to: {audio_path}")
with open(audio_path, "wb") as f:
f.write(audio)
logger.info("Podcast creation completed successfully")
return audio_path, "Podcast created successfully!"
except Exception as e:
logger.error("Podcast creation failed", exc_info=True)
return None, f"Error: {str(e)}"
def create_ui():
logger.info("Initializing Gradio interface")
# Default choices for dropdowns
default_voices = [("", "Enter API key to load voices")]
default_models = [("", "Enter API key to load models")]
with gr.Blocks(title='PodcastCreator', theme=gr.themes.Soft()) as interface:
with gr.Row():
with gr.Column(scale=2):
url_input = gr.Textbox(label='Source URL', placeholder='Enter the URL...')
prompt = gr.Textbox(label='Podcast Topic', lines=3)
with gr.Row():
with gr.Column():
elevenlabs_key = gr.Textbox(
label='ElevenLabs API Key',
type='password',
placeholder='Enter key...'
)
voice = gr.Dropdown(
label='Voice',
choices=default_voices,
value=None,
allow_custom_value=True
)
with gr.Column():
openrouter_key = gr.Textbox(
label='OpenRouter API Key',
type='password',
placeholder='Enter key...'
)
model = gr.Dropdown(
label='AI Model',
choices=default_models,
value=None,
allow_custom_value=True
)
submit_btn = gr.Button('Create Podcast', variant='primary')
with gr.Column(scale=1):
audio_output = gr.Audio(label="Generated Podcast", type="filepath")
status = gr.Textbox(label='Status', interactive=False)
# Event handlers
def update_voices(key):
if not key:
return gr.Dropdown(choices=default_voices, value=default_voices[0][0])
try:
client = ElevenLabsClient(key)
voices = client.get_voices()
return gr.Dropdown(choices=voices, value=voices[0][0] if voices else None)
except Exception as e:
logger.error(f"Failed to load voices: {e}")
return gr.Dropdown(choices=[(None, f"Error: {str(e)}")], value=None)
async def update_models(key):
if not key:
return gr.Dropdown(choices=default_models, value=default_models[0][0])
try:
client = OpenRouterClient(key)
models = await client.get_models()
return gr.Dropdown(choices=models, value=models[0][0] if models else None)
except Exception as e:
logger.error(f"Failed to load models: {e}")
return gr.Dropdown(choices=[(None, f"Error: {str(e)}")], value=None)
# Add error handling for the event handlers
try:
elevenlabs_key.change(fn=update_voices, inputs=elevenlabs_key, outputs=voice)
openrouter_key.change(fn=update_models, inputs=openrouter_key, outputs=model)
submit_btn.click(
fn=create_podcast,
inputs=[url_input, prompt, elevenlabs_key, voice, openrouter_key, model],
outputs=[audio_output, status]
)
except Exception as e:
logger.error(f"Failed to set up event handlers: {e}")
raise
logger.info("Gradio interface initialized successfully")
return interface
if __name__ == '__main__':
demo = create_ui()
demo.queue().launch() |