aki-008
commited on
Commit
·
8b61324
1
Parent(s):
795dc3a
feat: vapi working
Browse files- Backend/app/api/v1/api.py +4 -5
- Backend/app/api/v1/endpoints/interview.py +135 -0
- Backend/app/config.py +4 -0
- Frontend/src/api/interviewService.ts +16 -0
- Frontend/src/pages/AiInterview.tsx +265 -37
Backend/app/api/v1/api.py
CHANGED
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@@ -1,5 +1,5 @@
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from fastapi import APIRouter
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-
from app.api.v1.endpoints import auth, quiz, notes,
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api_router = APIRouter()
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@@ -24,9 +24,8 @@ api_router.include_router(
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tags=["notes"]
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)
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-
# Add Vapi routes
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api_router.include_router(
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-
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prefix="/
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tags=["
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)
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from fastapi import APIRouter
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from app.api.v1.endpoints import auth, quiz, notes, interview
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api_router = APIRouter()
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tags=["notes"]
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)
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api_router.include_router(
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interview.router,
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prefix="/interview",
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tags=["Interview"]
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)
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Backend/app/api/v1/endpoints/interview.py
ADDED
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@@ -0,0 +1,135 @@
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import os
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import uvicorn
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from fastapi import APIRouter, HTTPException, Request
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from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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from app.config import settings
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from vapi import Vapi
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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router = APIRouter()
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# --- CONFIGURATION ---
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VAPI_PRIVATE_KEY = os.getenv("VAPI_PRIVATE_KEY")
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VAPI_ASSISTANT_ID = os.getenv("VAPI_ASSISTANT_ID")
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# The SERVER_URL MUST be set to your public ngrok HTTPS URL for external webhooks to work.
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SERVER_URL = os.getenv("SERVER_URL", "http://localhost:8000")
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# Initialize Vapi Server SDK
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try:
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vapi_server = Vapi(token=VAPI_PRIVATE_KEY)
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except Exception as e:
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print(f"Vapi SDK Initialization Error: {e}")
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print("Ensure VAPI_PRIVATE_KEY is set in .env")
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# --- CORS SETUP ---
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# app.add_middleware(
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# CORSMiddleware,
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# # Allow communication from the frontend running on localhost:5173
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# # and also allow the ngrok base URL for safety.
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# allow_origins=["http://localhost:5173", "http://127.0.0.1:5173", SERVER_URL],
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# allow_credentials=True,
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# allow_methods=["*"],
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# allow_headers=["*"],
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# )
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# --- SCHEMAS ---
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class ConfigRequest(BaseModel):
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name: str
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job_role: str
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experience: str
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# --- ENDPOINTS ---
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@router.post("/api/get-vapi-config")
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async def get_vapi_config(data: ConfigRequest):
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"""
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Endpoint called by the Frontend to get the dynamically generated Assistant configuration.
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"""
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if VAPI_ASSISTANT_ID == "asst_11111111111111111111":
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raise HTTPException(
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status_code=503,
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detail="VAPI_ASSISTANT_ID not configured in .env. Please set your ID."
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)
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try:
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print(f"\n--- New Interview Request ---")
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print(f"👤 User: {data.name}, Role: {data.job_role}, Exp: {data.experience}")
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# 1. Construct the Dynamic System Prompt
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system_prompt = (
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f"You are a strict technical interviewer. You are interviewing {data.name} for a {data.job_role} role. "
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f"They have {data.experience} years of experience. "
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f"Ask short, concise questions. Wait for their answer. Do not lecture. "
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f"Start by asking them to introduce themselves and briefly describe their experience."
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)
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# 2. Dynamic Webhook URL (for this call only)
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# Vapi will send webhooks to the public URL defined in SERVER_URL,
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# specifically hitting this backend's /api/webhook route.
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webhook_url = f"{SERVER_URL}/api/webhook"
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# 3. Construct the Overrides Payload
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assistant_overrides = {
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"model": {
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"provider": "openai",
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"model": "gpt-4o-mini", # or "gpt-4", "gpt-3.5-turbo"
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"messages": [
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{"role": "system", "content": system_prompt}
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]
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},
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"server": {
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"url": webhook_url
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},
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# ... keep metadata as is ...
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"metadata": {
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"user_name": data.name,
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"job_role": data.job_role,
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"environment": "standalone-test"
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}
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}
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# 4. Return the necessary config to the frontend Web SDK
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return {
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"assistantId": VAPI_ASSISTANT_ID,
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"overrides": assistant_overrides
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}
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except Exception as e:
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print(f"❌ Vapi Configuration Error: {e}")
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raise HTTPException(status_code=500, detail=f"Failed to configure agent: {str(e)}")
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@router.post("/api/webhook")
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async def vapi_webhook_receiver(request: Request):
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"""
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Endpoint that receives asynchronous events from Vapi's servers.
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"""
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payload = await request.json()
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message = payload.get("message", {})
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# Log incoming transcripts in real-time
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if message.get("type") == "transcript" and message.get("transcriptType") == "final":
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print(f"🗣️ [Transcript] {message.get('role').upper()}: {message.get('transcript')}")
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# Log the final report (contains summary, full conversation, etc.)
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elif message.get("type") == "end-of-call-report":
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metadata = payload.get("assistant", {}).get("metadata", {})
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print(f"\n--- 🏁 Call Ended Report ---")
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print(f" User: {metadata.get('user_name')}, Role: {metadata.get('job_role')}")
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print(f" Summary: {message.get('summary', 'N/A')}")
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print(f"---------------------------\n")
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# Vapi expects a 200 OK response
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return {"status": "ok"}
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@router.get("/")
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async def root():
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return {"message": "Vapi Standalone Backend is running on port 8000."}
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if __name__ == "__main__":
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uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True)
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Backend/app/config.py
CHANGED
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@@ -23,6 +23,10 @@ class Settings(BaseSettings):
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VAPI_PUBLIC_KEY: str
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VAPI_ASSISTANT_ID: str
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class Config:
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env_file = ".env"
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extra = "ignore"
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VAPI_PUBLIC_KEY: str
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VAPI_ASSISTANT_ID: str
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VAPI_ASSISTANT_ID: str = "your-vapi-assistant-id"
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VAPI_PRIVATE_KEY: str
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VAPI_PUBLIC_KEY: str
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class Config:
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env_file = ".env"
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extra = "ignore"
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Frontend/src/api/interviewService.ts
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import API from "./api";
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export const getVapiConfig = async (
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name: string,
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jobRole: string,
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experience: number,
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level: string
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) => {
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const response = await API.post("/interview/config", {
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name,
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job_role: jobRole,
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experience,
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level,
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});
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return response.data;
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};
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Frontend/src/pages/AiInterview.tsx
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@@ -1,47 +1,275 @@
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import
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import {
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import { getVapiConfig } from "../api/vapiService";
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const handleStartInterview = async () => {
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try {
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// 1.
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const
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}
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};
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return (
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<div
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</div>
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);
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}
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| 1 |
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import React, { useEffect, useState } from "react";
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| 2 |
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import Vapi from "@vapi-ai/web";
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| 3 |
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import { Mic, PhoneOff, Volume2, Loader2, Activity } from "lucide-react";
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// --- CONFIG ---
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// 1. Put your Vapi Public Key here
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const VAPI_PUBLIC_KEY = "6e393730-74a2-4690-8cb7-845ed3880488";
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// 2. Point this to your FastAPI backend
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const BACKEND_URL = "http://localhost:8000";
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const vapi = new Vapi(VAPI_PUBLIC_KEY);
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+
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function App() {
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const [isSessionActive, setIsSessionActive] = useState(false);
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const [isSpeaking, setIsSpeaking] = useState(false);
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const [status, setStatus] = useState("Idle");
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// Form State
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const [name, setName] = useState("Jane Doe");
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const [role, setRole] = useState("Senior Frontend Engineer");
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const [exp, setExp] = useState("7");
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useEffect(() => {
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// Vapi Event Listeners
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vapi.on("call-start", () => {
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setStatus("Connected (AI is listening)");
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setIsSessionActive(true);
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});
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vapi.on("call-end", () => {
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setStatus("Call Ended");
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setIsSessionActive(false);
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setIsSpeaking(false);
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});
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vapi.on("speech-start", () => {
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setStatus("AI is speaking...");
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setIsSpeaking(true);
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});
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vapi.on("speech-end", () => {
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if (isSessionActive) {
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setStatus("Connected (Listening)");
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setIsSpeaking(false);
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}
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});
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vapi.on("error", (e) => {
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console.error("Vapi Error:", e);
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setStatus(`Error: ${e.message}`);
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setIsSessionActive(false);
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});
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return () => {
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// Cleanup
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vapi.stop();
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vapi.removeAllListeners();
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};
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}, []);
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+
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const startInterview = async () => {
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if (VAPI_PUBLIC_KEY === "YOUR_PUBLIC_KEY_HERE") {
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alert("Please update VAPI_PUBLIC_KEY in src/App.tsx");
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return;
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}
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+
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setStatus("Configuring...");
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try {
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// 1. Call your backend to get the dynamic config
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const response = await fetch(
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`${BACKEND_URL}/api/v1/interview/api/get-vapi-config`,
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{
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ name, job_role: role, experience: exp }),
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}
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);
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+
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const data = await response.json();
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+
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if (!data.assistantId || !data.overrides) {
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throw new Error("Invalid config from backend");
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}
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+
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setStatus("Connecting...");
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+
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// 2. Start Vapi with the config from backend
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vapi.start(data.assistantId, data.overrides);
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} catch (err: any) {
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console.error("Start Call API Error:", err);
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setStatus(
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`Failed: ${err.message || "Check FastAPI terminal for details."}`
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);
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}
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};
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const stopInterview = () => {
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vapi.stop();
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};
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+
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return (
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<div
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style={{
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backgroundColor: "#1f2937" /* Slate 800 */,
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padding: "2.5rem",
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borderRadius: "1rem",
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boxShadow: "0 20px 25px -5px rgba(0, 0, 0, 0.5)",
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maxWidth: "450px",
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width: "100%",
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textAlign: "center",
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color: "#f9fafb" /* Gray 50 */,
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}}
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>
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<h1
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style={{
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fontSize: "2rem",
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fontWeight: "bold",
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marginBottom: "1.5rem",
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color: "#60a5fa",
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}}
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>
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+
Vapi Interview Tester
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</h1>
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+
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{/* --- FORM --- */}
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+
{!isSessionActive && (
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<div
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style={{
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display: "flex",
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flexDirection: "column",
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gap: "1rem",
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marginBottom: "1.5rem",
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}}
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>
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+
<input
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type="text"
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placeholder="Your Name"
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value={name}
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onChange={(e) => setName(e.target.value)}
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style={inputStyle}
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/>
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| 143 |
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<input
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type="text"
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placeholder="Target Role"
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value={role}
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onChange={(e) => setRole(e.target.value)}
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style={inputStyle}
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/>
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<input
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type="number"
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placeholder="Experience (Years)"
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value={exp}
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onChange={(e) => setExp(e.target.value)}
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style={inputStyle}
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/>
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</div>
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)}
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+
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{/* --- VISUALIZER --- */}
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| 161 |
+
<div
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style={{ margin: "2rem 0", display: "flex", justifyContent: "center" }}
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+
>
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| 164 |
+
<div
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style={{
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width: "120px",
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height: "120px",
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borderRadius: "50%",
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backgroundColor: isSpeaking
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? "#a855f7"
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: isSessionActive
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? "#2563eb"
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: "#4b5563",
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display: "flex",
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alignItems: "center",
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justifyContent: "center",
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color: "white",
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transition: "all 0.3s ease",
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+
transform: isSpeaking ? "scale(1.1)" : "scale(1)",
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| 180 |
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boxShadow: isSpeaking
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? "0 0 30px rgba(168, 85, 247, 0.8)"
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: "0 0 20px rgba(37, 99, 235, 0.4)",
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| 183 |
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}}
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+
>
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| 185 |
+
{!isSessionActive ? (
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| 186 |
+
<Mic size={48} />
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| 187 |
+
) : isSpeaking ? (
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| 188 |
+
<Volume2 size={48} />
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| 189 |
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) : (
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| 190 |
+
<Activity size={48} />
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| 191 |
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)}
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| 192 |
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</div>
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| 193 |
+
</div>
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| 194 |
+
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+
{/* --- CONTROLS --- */}
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| 196 |
+
<div style={{ display: "flex", justifyContent: "center", gap: "1rem" }}>
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| 197 |
+
{!isSessionActive ? (
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| 198 |
+
<button
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| 199 |
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onClick={startInterview}
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| 200 |
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style={btnPrimary}
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| 201 |
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disabled={status === "Connecting..." || status === "Configuring..."}
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| 202 |
+
>
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| 203 |
+
{status === "Connecting..." || status === "Configuring..." ? (
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| 204 |
+
<Loader2 className="animate-spin" />
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| 205 |
+
) : (
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| 206 |
+
<Mic />
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| 207 |
+
)}
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| 208 |
+
{status === "Connecting..." || status === "Configuring..."
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| 209 |
+
? "Starting..."
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| 210 |
+
: "Start Interview"}
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| 211 |
+
</button>
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| 212 |
+
) : (
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| 213 |
+
<button onClick={stopInterview} style={btnDestructive}>
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| 214 |
+
<PhoneOff /> End Call
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| 215 |
+
</button>
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| 216 |
+
)}
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| 217 |
+
</div>
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| 218 |
+
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| 219 |
+
<p
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| 220 |
+
style={{ marginTop: "1.5rem", color: "#9ca3af", fontSize: "0.875rem" }}
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| 221 |
+
>
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| 222 |
+
Status:{" "}
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| 223 |
+
<strong
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| 224 |
+
style={{ color: status.includes("Error") ? "#f87171" : "#e5e7eb" }}
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| 225 |
+
>
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| 226 |
+
{status}
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| 227 |
+
</strong>
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| 228 |
+
</p>
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| 229 |
</div>
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| 230 |
);
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| 231 |
}
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| 232 |
+
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| 233 |
+
// Simple inline styles for standalone testing
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| 234 |
+
const inputStyle = {
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| 235 |
+
padding: "0.75rem",
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| 236 |
+
borderRadius: "0.5rem",
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| 237 |
+
border: "1px solid #475569" /* Slate 600 */,
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| 238 |
+
fontSize: "1rem",
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| 239 |
+
backgroundColor: "#0f172a" /* Slate 900 */,
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| 240 |
+
color: "#f9fafb" /* Gray 50 */,
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| 241 |
+
};
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| 242 |
+
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| 243 |
+
const btnPrimary = {
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| 244 |
+
display: "flex",
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| 245 |
+
alignItems: "center",
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| 246 |
+
gap: "0.5rem",
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| 247 |
+
backgroundColor: "#2563eb" /* Blue 600 */,
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| 248 |
+
color: "white",
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| 249 |
+
padding: "0.75rem 1.5rem",
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| 250 |
+
borderRadius: "0.5rem",
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| 251 |
+
border: "none",
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| 252 |
+
cursor: "pointer",
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| 253 |
+
fontSize: "1rem",
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| 254 |
+
fontWeight: "bold",
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| 255 |
+
transition: "background-color 0.2s",
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| 256 |
+
outline: "none",
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| 257 |
+
};
|
| 258 |
+
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| 259 |
+
const btnDestructive = {
|
| 260 |
+
display: "flex",
|
| 261 |
+
alignItems: "center",
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| 262 |
+
gap: "0.5rem",
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| 263 |
+
backgroundColor: "#dc2626" /* Red 600 */,
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| 264 |
+
color: "white",
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| 265 |
+
padding: "0.75rem 1.5rem",
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| 266 |
+
borderRadius: "0.5rem",
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| 267 |
+
border: "none",
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| 268 |
+
cursor: "pointer",
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| 269 |
+
fontSize: "1rem",
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| 270 |
+
fontWeight: "bold",
|
| 271 |
+
transition: "background-color 0.2s",
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| 272 |
+
outline: "none",
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| 273 |
+
};
|
| 274 |
+
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| 275 |
+
export default App;
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