app.py

## 1. `app.py`

import os
import json
import tempfile
from zipfile import ZipFile

import gradio as gr
from agents import Agent, AgentRunner, handoff
from agents.extensions.handoff_prompt import RECOMMENDED_PROMPT_PREFIX

# === Coqui TTS Integration ===
from TTS.api import TTS

# Initialize Coqui TTS (choose a model)
# Using Tacotron2-DDC model from LJSpeech
tts = TTS(
    model_name="tts_models/en/ljspeech/tacotron2-DDC",
    progress_bar=False,
    gpu=False
)

def generate_tts_audio(script: str) -> str:
    """
    Synthesize speech using Coqui TTS and save to a WAV file.
    Returns the local file path to the audio.
    """
    # Determine output path in temp directory
    out_path = os.path.join(tempfile.gettempdir(), "voiceover.wav")
    # Render the speech to the file
    tts.tts_to_file(text=script, file_path=out_path)
    return out_path

# --- Multi-Agent Scaffold ---
# 1. Topic Agent
topic_agent = Agent(
    name="Topic Agent",
    instructions=(
        f"{RECOMMENDED_PROMPT_PREFIX}\n"
        "You are given a workshop topic and audience. Draft a structured learning path: goals, 4 modules, and a hands-on exercise for each."
    )
)

# 2. Content Agent
content_agent = Agent(
    name="Content Agent",
    instructions=(
        f"{RECOMMENDED_PROMPT_PREFIX}\n"
        "Convert the outline into detailed module scripts, speaker notes, and 3 quiz questions per module."
    )
)

# 3. Slide Agent
slide_agent = Agent(
    name="Slide Agent",
    instructions=(
        f"{RECOMMENDED_PROMPT_PREFIX}\n"
        "Given module content, produce slide JSON with title, bullet points, and design hints."
    )
)

# 4. Code Agent
code_agent = Agent(
    name="Code Agent",
    instructions=(
        f"{RECOMMENDED_PROMPT_PREFIX}\n"
        "Generate runnable Python code snippets or a Colab notebook for hands-on labs in each module."
    )
)

# 5. Voiceover Agent (Optional)
voice_agent = Agent(
    name="Voiceover Agent",
    instructions=(
        f"{RECOMMENDED_PROMPT_PREFIX}\n"
        "Create a 1-2 minute voiceover script. Return JSON with key 'script'."
    )
)

# Orchestrator: sequences agents
document_orchestrator = Agent(
    name="Workshop Orchestrator",
    instructions=(
        "Invoke: topic_agent, content_agent, slide_agent, code_agent, voice_agent (optional); collect outputs."
    ),
    handoffs=[
        handoff(topic_agent, name="outline"),
        handoff(content_agent, name="content"),
        handoff(slide_agent, name="slides"),
        handoff(code_agent, name="code_labs"),
        handoff(voice_agent, name="voiceover", optional=True),
    ]
)

runner = AgentRunner()

# --- Helper: Run pipeline & bundle outputs ---
def build_workshop_bundle(topic: str, audience: str):
    prompt = f"Create a {topic} workshop for {audience}."
    results = runner.run(document_orchestrator, prompt).outputs

    # Synthesize voiceover if script present
    voice_info = results.get('voiceover', {})
    audio_path = None
    if isinstance(voice_info, dict) and 'script' in voice_info:
        audio_path = generate_tts_audio(voice_info['script'])

    # Render slides to HTML
    slides_json = results.get('slides', {})
    with open('static/slides_template.html') as f:
        template = f.read()
    slide_html = template.replace('{{SLIDES_JSON}}', json.dumps(slides_json))

    # Create a ZIP bundle
    tmpdir = tempfile.mkdtemp()
    zip_path = os.path.join(tmpdir, 'workshop_bundle.zip')
    with ZipFile(zip_path, 'w') as zipf:
        # JSON outputs
        out_json = os.path.join(tmpdir, 'workshop_outputs.json')
        with open(out_json, 'w') as jf:
            jf.write(json.dumps(results, indent=2))
        zipf.write(out_json, 'workshop_outputs.json')

        # Slides JSON & HTML
        slide_json_file = os.path.join(tmpdir, 'slides.json')
        with open(slide_json_file, 'w') as sf:
            sf.write(json.dumps(slides_json, indent=2))
        zipf.write(slide_json_file, 'slides.json')

        slide_html_file = os.path.join(tmpdir, 'slides.html')
        with open(slide_html_file, 'w') as hf:
            hf.write(slide_html)
        zipf.write(slide_html_file, 'slides.html')

        # Code labs
        code_file = os.path.join(tmpdir, 'code_labs.py')
        with open(code_file, 'w') as cf:
            cf.write(results.get('code_labs', ''))
        zipf.write(code_file, 'code_labs.py')

        # Audio
        if audio_path and os.path.exists(audio_path):
            zipf.write(audio_path, os.path.basename(audio_path))

    return slide_html, audio_path, zip_path

# --- Gradio UI ---
def run_app(topic, audience):
    slide_html, audio_path, zip_path = build_workshop_bundle(topic, audience)
    return slide_html, audio_path, zip_path

with gr.Blocks(title='🚀 Workshop in a Box') as demo:
    gr.Markdown('# Workshop in a Box')
    topic = gr.Textbox(label='Workshop Topic', placeholder='e.g., AI Agents 101')
    audience = gr.Textbox(label='Audience', placeholder='e.g., Product Managers')
    btn = gr.Button('Generate Workshop')
    slide_preview = gr.HTML(label='Slide Preview')
    audio_player = gr.Audio(label='Voiceover Preview', interactive=True)
    download = gr.File(label='Download ZIP')
    btn.click(
        fn=run_app,
        inputs=[topic, audience],
        outputs=[slide_preview, audio_player, download]
    )

if __name__ == '__main__':
    demo.launch()