Create app.py
Browse files
app.py
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import gradio as gr
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import os
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import logging
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from fastapi import FastAPI, Request
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from main import PhoneChatbotApp
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import asyncio
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import uvicorn
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from threading import Thread
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from elevenlabs import ElevenLabs
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logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
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logger = logging.getLogger(__name__)
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app = FastAPI()
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phone_app = PhoneChatbotApp()
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log_output = ""
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def append_log(message):
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global log_output
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log_output += f"{message}\n"
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logger.info(message)
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@app.post("/webhook")
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async def webhook(request: Request):
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data = await request.json()
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append_log(f"Webhook received: {data}")
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return {"status": "ok"}
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def get_elevenlabs_voices(elevenlabs_api_key):
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try:
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client = ElevenLabs(api_key=elevenlabs_api_key)
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voices = client.voices.get_all()
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return {voice.name: voice.voice_id for voice in voices.voices}
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except Exception as e:
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append_log(f"Error fetching ElevenLabs voices: {e}")
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return {"Default (Rachel)": "cgSgspJ2msm6clMCkdW9"}
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def save_config(daily_api_key, daily_domain, deepgram_api_key, elevenlabs_api_key, elevenlabs_voice_id, azure_openai_api_key, silence_timeout, max_prompts):
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instructions = """
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Set the following Hugging Face Secrets in your Space (Settings > Secrets):
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- deepgram: {}
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- elevenlabs: {}
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- dailyco: {}
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- azure_openai: {}
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- DAILY_DOMAIN: {}
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- ELEVENLABS_VOICE_ID: {}
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- SILENCE_TIMEOUT_SECONDS: {}
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- MAX_SILENCE_PROMPTS: {}
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1. Go to your Hugging Face Space > Settings > Secrets.
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2. Add each secret with the exact name and value shown above.
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3. Redeploy the Space to apply the changes.
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""".format(
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deepgram_api_key, elevenlabs_api_key, daily_api_key, azure_openai_api_key,
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daily_domain, elevenlabs_voice_id, silence_timeout, max_prompts
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)
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append_log("Generated Hugging Face Secrets instructions")
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return instructions
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def get_call_summary():
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if phone_app.current_call_stats["start_time"]:
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return [[
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phone_app.current_call_stats["start_time"],
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phone_app.current_call_stats["end_time"],
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phone_app.current_call_stats["duration_seconds"],
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phone_app.current_call_stats["silence_events"],
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phone_app.current_call_stats["ended_by_silence"]
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]]
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return []
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def run_phone_app():
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asyncio.run(phone_app.run())
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with gr.Blocks(theme=gr.themes.Soft(), css="static/style.css") as demo:
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gr.Markdown("# Phone Chatbot Web App")
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with gr.Tabs():
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with gr.TabItem("Configuration"):
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daily_api_key = gr.Textbox(label="Daily API Key", type="password")
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daily_domain = gr.Textbox(label="Daily Domain", value="your-username.daily.co")
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deepgram_api_key = gr.Textbox(label="Deepgram API Key", type="password")
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elevenlabs_api_key = gr.Textbox(label="ElevenLabs API Key", type="password")
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elevenlabs_voice = gr.Dropdown(
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label="ElevenLabs Voice",
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choices=["Default (Rachel)"],
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value="Default (Rachel)"
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)
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azure_openai_api_key = gr.Textbox(label="Azure OpenAI API Key", type="password")
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silence_timeout = gr.Slider(5, 30, value=10, step=1, label="Silence Timeout (seconds)")
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max_prompts = gr.Slider(1, 5, value=3, step=1, label="Max Silence Prompts")
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save_btn = gr.Button("Generate Hugging Face Secrets Instructions")
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config_output = gr.Textbox(label="Instructions", lines=10)
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def update_voices(elevenlabs_api_key):
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voices = get_elevenlabs_voices(elevenlabs_api_key)
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return gr.Dropdown.update(choices=list(voices.keys()), value=list(voices.keys())[0])
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elevenlabs_api_key.change(
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fn=update_voices,
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inputs=elevenlabs_api_key,
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outputs=elevenlabs_voice
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)
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def prepare_config(daily_api_key, daily_domain, deepgram_api_key, elevenlabs_api_key, elevenlabs_voice, azure_openai_api_key, silence_timeout, max_prompts):
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voices = get_elevenlabs_voices(elevenlabs_api_key)
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voice_id = voices.get(elevenlabs_voice, "cgSgspJ2msm6clMCkdW9")
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return save_config(daily_api_key, daily_domain, deepgram_api_key, elevenlabs_api_key, voice_id, azure_openai_api_key, silence_timeout, max_prompts)
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save_btn.click(
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fn=prepare_config,
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inputs=[daily_api_key, daily_domain, deepgram_api_key, elevenlabs_api_key,
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elevenlabs_voice, azure_openai_api_key, silence_timeout, max_prompts],
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outputs=config_output
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)
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with gr.TabItem("Call Status"):
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log_box = gr.Textbox(label="Real-time Logs", lines=20, value=lambda: log_output)
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with gr.TabItem("Call Summary"):
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summary_table = gr.Dataframe(
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headers=["Start Time", "End Time", "Duration (s)", "Silence Events", "Ended by Silence"],
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value=get_call_summary,
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label="Call Summaries"
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)
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refresh_btn = gr.Button("Refresh Summary")
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refresh_btn.click(fn=get_call_summary, outputs=summary_table)
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# Start phone app in a separate thread
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Thread(target=run_phone_app, daemon=True).start()
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# Start FastAPI server
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def start_server():
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uvicorn.run(app, host="0.0.0.0", port=7860)
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Thread(target=start_server, daemon=True).start()
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demo.launch(server_name="0.0.0.0", server_port=7861)
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