feat: ui enhancements and fixes
This commit is contained in:
Rohit Rajan
@@ -21,7 +21,7 @@ import {
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MenuItem,
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InputLabel
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} from '@mui/material';
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import { ArrowBack, PlayCircleOutline, Article, Code, Description } from '@mui/icons-material';
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import { ArrowBack, PlayCircleOutline, Article, Code, Description, SmartToy } from '@mui/icons-material';
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import { useGlobalInfoStore, useCacheInvalidation } from '../../../context/globalInfo';
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import { canCreateBrowserInState, getActiveBrowserId, stopRecording } from '../../../api/recording';
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import { createScrapeRobot, createLLMRobot, createAndRunRecording } from "../../../api/storage";
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@@ -59,11 +59,13 @@ const RobotCreate: React.FC = () => {
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const [tabValue, setTabValue] = useState(0);
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const [url, setUrl] = useState('');
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const [scrapeRobotName, setScrapeRobotName] = useState('');
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const [extractRobotName, setExtractRobotName] = useState('');
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const [needsLogin, setNeedsLogin] = useState(false);
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const [isLoading, setIsLoading] = useState(false);
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const [isWarningModalOpen, setWarningModalOpen] = useState(false);
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const [activeBrowserId, setActiveBrowserId] = useState('');
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const [outputFormats, setOutputFormats] = useState<string[]>([]);
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const [generationMode, setGenerationMode] = useState<'agent' | 'recorder' | null>(null);
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// AI Extract tab state
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const [aiPrompt, setAiPrompt] = useState('');
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@@ -75,7 +77,7 @@ const RobotCreate: React.FC = () => {
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const { state } = React.useContext(AuthContext);
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const { user } = state;
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const { addOptimisticRobot, removeOptimisticRobot, invalidateRecordings } = useCacheInvalidation();
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const { addOptimisticRobot, removeOptimisticRobot, invalidateRecordings, invalidateRuns, addOptimisticRun } = useCacheInvalidation();
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const handleTabChange = (event: React.SyntheticEvent, newValue: number) => {
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setTabValue(newValue);
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@@ -215,190 +217,16 @@ const RobotCreate: React.FC = () => {
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}}
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>
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<Tab label="Extract" id="extract-robot" aria-controls="extract-robot" />
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<Tab label="AI Extract" id="ai-extract-robot" aria-controls="ai-extract-robot" />
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<Tab label="Scrape" id="scrape-robot" aria-controls="scrape-robot" />
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</Tabs>
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</Box>
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<TabPanel value={tabValue} index={0}>
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<Card sx={{ mb: 4, p: 4, textAlign: 'center' }}>
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<Card sx={{ mb: 4, p: 4 }}>
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<Box display="flex" flexDirection="column" alignItems="center">
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{/* Logo (kept as original) */}
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<img
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src="https://ik.imagekit.io/ys1blv5kv/maxunlogo.png"
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width={73}
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height={65}
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style={{
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borderRadius: '5px',
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marginBottom: '30px'
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}}
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alt="Maxun Logo"
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/>
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<Typography variant="body2" color="text.secondary" mb={3}>
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Extract structured data from websites in a few clicks.
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</Typography>
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{/* Origin URL Input */}
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<Box sx={{ width: '100%', maxWidth: 700, mb: 2 }}>
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<TextField
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placeholder="Example: https://www.ycombinator.com/companies/"
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variant="outlined"
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fullWidth
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value={url}
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onChange={(e) => setUrl(e.target.value)}
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/>
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</Box>
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{/* Checkbox */}
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<Box sx={{ width: '100%', maxWidth: 700, mb: 3, textAlign: 'left' }}>
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<FormControlLabel
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control={
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<Checkbox
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checked={needsLogin}
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onChange={(e) => setNeedsLogin(e.target.checked)}
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color="primary"
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/>
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}
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label="This website needs logging in."
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/>
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</Box>
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{/* Button */}
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<Button
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variant="contained"
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fullWidth
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onClick={handleStartRecording}
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disabled={!url.trim() || isLoading}
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sx={{
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bgcolor: '#ff00c3',
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py: 1.4,
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fontSize: '1rem',
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textTransform: 'none',
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maxWidth: 700,
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borderRadius: 2
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}}
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startIcon={isLoading ? <CircularProgress size={20} color="inherit" /> : null}
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>
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{isLoading ? 'Starting...' : 'Start Recording'}
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</Button>
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</Box>
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</Card>
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<Box mt={6} textAlign="center">
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<Typography variant="h6" gutterBottom>
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First time creating a robot?
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</Typography>
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<Typography variant="body2" color="text.secondary" mb={3}>
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Get help and learn how to use Maxun effectively.
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</Typography>
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<Grid container spacing={3} justifyContent="center">
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{/* YouTube Tutorials */}
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<Grid item xs={12} sm={6} md={4}>
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<Card
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sx={{
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height: 140,
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cursor: "pointer",
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}}
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onClick={() => window.open("https://www.youtube.com/@MaxunOSS/videos", "_blank")}
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>
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<CardContent
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sx={{
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display: "flex",
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flexDirection: "column",
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alignItems: "center",
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justifyContent: "center", // center content
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height: "100%",
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textAlign: "center",
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p: 2,
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color: (theme) =>
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theme.palette.mode === 'light' ? 'rgba(0, 0, 0, 0.54)' : '',
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}}
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>
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<PlayCircleOutline sx={{ fontSize: "32px", mb: 2 }} />
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<Box sx={{ textAlign: "center" }}>
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<Typography variant="body1" fontWeight="600" sx={{ lineHeight: 1.2 }}>
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Video Tutorials
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</Typography>
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<Typography variant="body2" color="text.secondary" sx={{ lineHeight: 1.4, mt: 1 }}>
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Watch step-by-step guides
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</Typography>
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</Box>
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</CardContent>
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</Card>
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</Grid>
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{/* Documentation */}
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<Grid item xs={12} sm={6} md={4}>
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<Card
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sx={{
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height: 140,
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cursor: "pointer",
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}}
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onClick={() => window.open("https://docs.maxun.dev", "_blank")}
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>
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<CardContent
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sx={{
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display: "flex",
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flexDirection: "column",
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alignItems: "center",
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justifyContent: "center", // center everything
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height: "100%",
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textAlign: "center",
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p: 2,
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color: (theme) =>
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theme.palette.mode === 'light' ? 'rgba(0, 0, 0, 0.54)' : '',
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}}
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>
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<Article sx={{ fontSize: "32px", mb: 2 }} />
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<Box sx={{ textAlign: "center" }}>
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<Typography variant="body1" fontWeight="600" sx={{ lineHeight: 1.2 }}>
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Documentation
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</Typography>
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<Typography variant="body2" color="text.secondary" sx={{ lineHeight: 1.4, mt: 1 }}>
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Explore detailed guides
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</Typography>
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</Box>
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</CardContent>
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</Card>
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</Grid>
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</Grid>
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</Box>
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</TabPanel>
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<TabPanel value={tabValue} index={1}>
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<Card sx={{ mb: 4, p: 4, textAlign: 'center' }}>
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<Box display="flex" flexDirection="column" alignItems="center">
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<img
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src="https://ik.imagekit.io/ys1blv5kv/maxunlogo.png"
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width={73}
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height={65}
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style={{
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borderRadius: '5px',
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marginBottom: '30px'
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}}
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alt="Maxun Logo"
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/>
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<Typography variant="body2" color="text.secondary" mb={3}>
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AI-powered extraction: Describe what you want to extract in natural language.
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</Typography>
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<Box sx={{ width: '100%', maxWidth: 700, mb: 2 }}>
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<TextField
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placeholder="Example: AI Product Extractor"
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variant="outlined"
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fullWidth
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value={aiRobotName}
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onChange={(e) => setAiRobotName(e.target.value)}
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sx={{ mb: 2 }}
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label="Robot Name (Optional)"
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/>
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{/* Website URL */}
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<Box sx={{ width: '100%', maxWidth: 700, mb: 3 }}>
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<TextField
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placeholder="Example: https://www.ycombinator.com/companies/"
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variant="outlined"
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@@ -406,207 +234,325 @@ const RobotCreate: React.FC = () => {
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value={url}
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onChange={(e) => setUrl(e.target.value)}
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label="Website URL"
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sx={{ mb: 2 }}
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/>
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<TextField
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placeholder="Example: Extract first 15 company names, descriptions, and batch information"
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variant="outlined"
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fullWidth
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multiline
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rows={3}
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value={aiPrompt}
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onChange={(e) => setAiPrompt(e.target.value)}
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label="Extraction Prompt"
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sx={{ mb: 2 }}
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/>
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<Box sx={{ width: '100%', display: 'flex', gap: 2, mb: 2 }}>
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<FormControl sx={{ flex: 1 }}>
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<InputLabel id="llm-provider-label">LLM Provider</InputLabel>
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<Select
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labelId="llm-provider-label"
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id="llm-provider"
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value={llmProvider}
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label="LLM Provider"
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onChange={(e) => {
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const provider = e.target.value as 'anthropic' | 'openai' | 'ollama';
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setLlmProvider(provider);
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setLlmModel('');
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if (provider === 'ollama') {
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setLlmBaseUrl('http://localhost:11434');
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} else {
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setLlmBaseUrl('');
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}
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}}
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>
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<MenuItem value="ollama">Ollama (Local)</MenuItem>
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<MenuItem value="anthropic">Anthropic (Claude)</MenuItem>
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<MenuItem value="openai">OpenAI (GPT-4)</MenuItem>
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</Select>
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</FormControl>
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<FormControl sx={{ flex: 1 }}>
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<InputLabel id="llm-model-label">Model (Optional)</InputLabel>
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<Select
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labelId="llm-model-label"
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id="llm-model"
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value={llmModel}
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label="Model (Optional)"
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onChange={(e) => setLlmModel(e.target.value)}
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>
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{llmProvider === 'ollama' && (
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<>
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<MenuItem value="">Default (llama3.2-vision)</MenuItem>
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<MenuItem value="llama3.2-vision">llama3.2-vision</MenuItem>
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<MenuItem value="llama3.2">llama3.2</MenuItem>
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</>
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)}
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{llmProvider === 'anthropic' && (
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<>
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<MenuItem value="">Default (claude-3-5-sonnet)</MenuItem>
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<MenuItem value="claude-3-5-sonnet-20241022">claude-3-5-sonnet-20241022</MenuItem>
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<MenuItem value="claude-3-opus-20240229">claude-3-opus-20240229</MenuItem>
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</>
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)}
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{llmProvider === 'openai' && (
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<>
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<MenuItem value="">Default (gpt-4-vision-preview)</MenuItem>
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<MenuItem value="gpt-4-vision-preview">gpt-4-vision-preview</MenuItem>
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<MenuItem value="gpt-4o">gpt-4o</MenuItem>
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</>
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)}
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</Select>
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</FormControl>
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</Box>
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{llmProvider !== 'ollama' && (
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<TextField
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placeholder={`${llmProvider === 'anthropic' ? 'Anthropic' : 'OpenAI'} API Key (or set in .env)`}
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variant="outlined"
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fullWidth
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type="password"
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value={llmApiKey}
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onChange={(e) => setLlmApiKey(e.target.value)}
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label="API Key (Optional if set in .env)"
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sx={{ mb: 2 }}
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/>
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)}
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{llmProvider === 'ollama' && (
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<TextField
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placeholder="http://localhost:11434"
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variant="outlined"
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fullWidth
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value={llmBaseUrl}
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onChange={(e) => setLlmBaseUrl(e.target.value)}
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label="Ollama Base URL (Optional)"
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sx={{ mb: 2 }}
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/>
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)}
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</Box>
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<Button
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variant="contained"
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fullWidth
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onClick={async () => {
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if (!url.trim()) {
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notify('error', 'Please enter a valid URL');
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return;
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}
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if (!aiPrompt.trim()) {
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notify('error', 'Please enter an extraction prompt');
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return;
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}
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{/* Generation Mode Selection */}
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<Box sx={{ width: '100%', maxWidth: 700, mb: 3 }}>
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<Typography variant="subtitle1" gutterBottom sx={{ fontWeight: 600, mb: 2 }}>
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Generation Mode
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</Typography>
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const tempRobotId = `temp-${Date.now()}`;
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const robotDisplayName = aiRobotName || `LLM Extract: ${aiPrompt.substring(0, 50)}`;
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<Box sx={{ display: 'flex', gap: 2 }}>
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<Card
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onClick={() => setGenerationMode('agent')}
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sx={{
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flex: 1,
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cursor: 'pointer',
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border: '2px solid',
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borderColor: generationMode === 'agent' ? '#ff00c3' : 'divider',
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transition: 'all 0.2s',
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'&:hover': {
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borderColor: '#ff00c3',
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}
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}}
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>
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<CardContent sx={{ textAlign: 'center', py: 3 }}>
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<SmartToy sx={{ fontSize: 32, mb: 1 }} />
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<Typography variant="h6" gutterBottom>
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AI Powered
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</Typography>
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<Typography variant="body2" color="text.secondary">
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AI will take care of everything
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</Typography>
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</CardContent>
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</Card>
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const optimisticRobot = {
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id: tempRobotId,
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recording_meta: {
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id: tempRobotId,
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name: robotDisplayName,
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createdAt: new Date().toISOString(),
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updatedAt: new Date().toISOString(),
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pairs: 0,
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params: [],
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type: 'extract',
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url: url,
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},
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recording: { workflow: [] },
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isLoading: true,
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isOptimistic: true
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};
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<Card
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onClick={() => setGenerationMode('recorder')}
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sx={{
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flex: 1,
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cursor: 'pointer',
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border: '2px solid',
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borderColor: generationMode === 'recorder' ? '#ff00c3' : 'divider',
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transition: 'all 0.2s',
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'&:hover': {
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borderColor: '#ff00c3',
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}
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}}
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>
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<CardContent sx={{ textAlign: 'center', py: 3 }}>
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<PlayCircleOutline sx={{ fontSize: 32, mb: 1 }} />
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<Typography variant="h6" gutterBottom>
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Record yourself
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</Typography>
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<Typography variant="body2" color="text.secondary">
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You control the browser
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</Typography>
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</CardContent>
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</Card>
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</Box>
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</Box>
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addOptimisticRobot(optimisticRobot);
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{/* Conditional rendering based on generation mode */}
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{generationMode === 'agent' && (
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<Box sx={{ width: '100%', maxWidth: 700 }}>
|
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{/* Robot Name */}
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<Box sx={{ mb: 3 }}>
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<TextField
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||||
placeholder="Robot Name"
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variant="outlined"
|
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fullWidth
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value={extractRobotName}
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onChange={(e) => setExtractRobotName(e.target.value)}
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label="Robot Name"
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/>
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</Box>
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notify('info', `Robot ${robotDisplayName} creation started (AI Powered)`);
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navigate('/robots');
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{/* Extraction Prompt */}
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<Box sx={{ mb: 3 }}>
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||||
<TextField
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||||
placeholder="Example: Extract first 15 company names, descriptions, and batch information"
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variant="outlined"
|
||||
fullWidth
|
||||
multiline
|
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rows={3}
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value={aiPrompt}
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onChange={(e) => setAiPrompt(e.target.value)}
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label="Extraction Prompt"
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/>
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</Box>
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try {
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const result = await createLLMRobot(
|
||||
url,
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||||
aiPrompt,
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||||
llmProvider,
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||||
llmModel || undefined,
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||||
llmApiKey || undefined,
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||||
llmBaseUrl || undefined,
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||||
aiRobotName || undefined
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||||
);
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{/* LLM Provider and Model */}
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||||
<Box sx={{ display: 'flex', gap: 2, mb: 3 }}>
|
||||
<FormControl sx={{ flex: 1 }}>
|
||||
<InputLabel>LLM Provider</InputLabel>
|
||||
<Select
|
||||
value={llmProvider}
|
||||
label="LLM Provider"
|
||||
onChange={(e) => {
|
||||
const provider = e.target.value as 'anthropic' | 'openai' | 'ollama';
|
||||
setLlmProvider(provider);
|
||||
setLlmModel('');
|
||||
if (provider === 'ollama') {
|
||||
setLlmBaseUrl('http://localhost:11434');
|
||||
} else {
|
||||
setLlmBaseUrl('');
|
||||
}
|
||||
}}
|
||||
>
|
||||
<MenuItem value="ollama">Ollama (Local)</MenuItem>
|
||||
<MenuItem value="anthropic">Anthropic (Claude)</MenuItem>
|
||||
<MenuItem value="openai">OpenAI (GPT-4)</MenuItem>
|
||||
</Select>
|
||||
</FormControl>
|
||||
|
||||
removeOptimisticRobot(tempRobotId);
|
||||
<FormControl sx={{ flex: 1 }}>
|
||||
<InputLabel>Model</InputLabel>
|
||||
<Select
|
||||
value={llmModel}
|
||||
label="Model"
|
||||
onChange={(e) => setLlmModel(e.target.value)}
|
||||
>
|
||||
{llmProvider === 'ollama' && (
|
||||
<>
|
||||
<MenuItem value="">Default (llama3.2-vision)</MenuItem>
|
||||
<MenuItem value="llama3.2-vision">llama3.2-vision</MenuItem>
|
||||
<MenuItem value="llama3.2">llama3.2</MenuItem>
|
||||
</>
|
||||
)}
|
||||
{llmProvider === 'anthropic' && (
|
||||
<>
|
||||
<MenuItem value="">Default (claude-3-5-sonnet)</MenuItem>
|
||||
<MenuItem value="claude-3-5-sonnet-20241022">claude-3-5-sonnet-20241022</MenuItem>
|
||||
<MenuItem value="claude-3-opus-20240229">claude-3-opus-20240229</MenuItem>
|
||||
</>
|
||||
)}
|
||||
{llmProvider === 'openai' && (
|
||||
<>
|
||||
<MenuItem value="">Default (gpt-4-vision-preview)</MenuItem>
|
||||
<MenuItem value="gpt-4-vision-preview">gpt-4-vision-preview</MenuItem>
|
||||
<MenuItem value="gpt-4o">gpt-4o</MenuItem>
|
||||
</>
|
||||
)}
|
||||
</Select>
|
||||
</FormControl>
|
||||
</Box>
|
||||
|
||||
if (!result || !result.robot) {
|
||||
notify('error', 'Failed to create AI robot. Please check your LLM configuration.');
|
||||
invalidateRecordings();
|
||||
return;
|
||||
}
|
||||
{/* API Key for non-Ollama providers */}
|
||||
{llmProvider !== 'ollama' && (
|
||||
<Box sx={{ mb: 3 }}>
|
||||
<TextField
|
||||
placeholder={`${llmProvider === 'anthropic' ? 'Anthropic' : 'OpenAI'} API Key`}
|
||||
variant="outlined"
|
||||
fullWidth
|
||||
type="password"
|
||||
value={llmApiKey}
|
||||
onChange={(e) => setLlmApiKey(e.target.value)}
|
||||
label="API Key (Optional if set in .env)"
|
||||
/>
|
||||
</Box>
|
||||
)}
|
||||
|
||||
const robotMetaId = result.robot.recording_meta.id;
|
||||
notify('success', `${result.robot.recording_meta.name} created successfully!`);
|
||||
{/* Ollama Base URL */}
|
||||
{llmProvider === 'ollama' && (
|
||||
<Box sx={{ mb: 3 }}>
|
||||
<TextField
|
||||
placeholder="http://localhost:11434"
|
||||
variant="outlined"
|
||||
fullWidth
|
||||
value={llmBaseUrl}
|
||||
onChange={(e) => setLlmBaseUrl(e.target.value)}
|
||||
label="Ollama Base URL (Optional)"
|
||||
/>
|
||||
</Box>
|
||||
)}
|
||||
|
||||
invalidateRecordings();
|
||||
{/* Create & Run Button */}
|
||||
<Button
|
||||
variant="contained"
|
||||
fullWidth
|
||||
onClick={async () => {
|
||||
if (!url.trim()) {
|
||||
notify('error', 'Please enter a valid URL');
|
||||
return;
|
||||
}
|
||||
if (!extractRobotName.trim()) {
|
||||
notify('error', 'Please enter a robot name');
|
||||
return;
|
||||
}
|
||||
if (!aiPrompt.trim()) {
|
||||
notify('error', 'Please enter an extraction prompt');
|
||||
return;
|
||||
}
|
||||
|
||||
await new Promise(resolve => setTimeout(resolve, 500));
|
||||
const tempRobotId = `temp-${Date.now()}`;
|
||||
const robotDisplayName = extractRobotName;
|
||||
|
||||
notify('info', 'Starting robot execution...');
|
||||
const runResponse = await createAndRunRecording(robotMetaId, {
|
||||
maxConcurrency: 1,
|
||||
maxRepeats: 1,
|
||||
debug: true
|
||||
});
|
||||
const optimisticRobot = {
|
||||
id: tempRobotId,
|
||||
recording_meta: {
|
||||
id: tempRobotId,
|
||||
name: robotDisplayName,
|
||||
createdAt: new Date().toISOString(),
|
||||
updatedAt: new Date().toISOString(),
|
||||
pairs: 0,
|
||||
params: [],
|
||||
type: 'extract',
|
||||
url: url,
|
||||
},
|
||||
recording: { workflow: [] },
|
||||
isLoading: true,
|
||||
isOptimistic: true
|
||||
};
|
||||
|
||||
if (runResponse && runResponse.runId) {
|
||||
notify('success', 'Robot is now running!');
|
||||
navigate(`/runs/${robotMetaId}/run/${runResponse.runId}`);
|
||||
} else {
|
||||
notify('warning', 'Robot created but failed to start execution. You can run it manually from the robots page.');
|
||||
}
|
||||
} catch (error: any) {
|
||||
console.error('Error in AI robot creation:', error);
|
||||
removeOptimisticRobot(tempRobotId);
|
||||
invalidateRecordings();
|
||||
notify('error', error?.message || 'Failed to create and run AI robot');
|
||||
}
|
||||
}}
|
||||
disabled={!url.trim() || !aiPrompt.trim() || isLoading}
|
||||
sx={{
|
||||
bgcolor: '#ff00c3',
|
||||
py: 1.4,
|
||||
fontSize: '1rem',
|
||||
textTransform: 'none',
|
||||
maxWidth: 700,
|
||||
borderRadius: 2
|
||||
}}
|
||||
startIcon={isLoading ? <CircularProgress size={20} color="inherit" /> : null}
|
||||
>
|
||||
{isLoading ? 'Creating & Running...' : 'Create & Run AI Robot'}
|
||||
</Button>
|
||||
addOptimisticRobot(optimisticRobot);
|
||||
|
||||
notify('info', `Robot ${robotDisplayName} creation started`);
|
||||
navigate('/robots');
|
||||
|
||||
try {
|
||||
const result = await createLLMRobot(
|
||||
url,
|
||||
aiPrompt,
|
||||
llmProvider,
|
||||
llmModel || undefined,
|
||||
llmApiKey || undefined,
|
||||
llmBaseUrl || undefined,
|
||||
extractRobotName
|
||||
);
|
||||
|
||||
removeOptimisticRobot(tempRobotId);
|
||||
|
||||
if (!result || !result.robot) {
|
||||
notify('error', 'Failed to create AI robot. Please check your LLM configuration.');
|
||||
invalidateRecordings();
|
||||
return;
|
||||
}
|
||||
|
||||
const robotMetaId = result.robot.recording_meta.id;
|
||||
const robotName = result.robot.recording_meta.name;
|
||||
|
||||
invalidateRecordings();
|
||||
notify('success', `${robotName} created successfully!`);
|
||||
|
||||
const optimisticRun = {
|
||||
id: robotMetaId,
|
||||
runId: `temp-${Date.now()}`,
|
||||
status: 'running',
|
||||
name: robotName,
|
||||
startedAt: new Date().toISOString(),
|
||||
finishedAt: '',
|
||||
robotMetaId: robotMetaId,
|
||||
log: 'Starting...',
|
||||
isOptimistic: true
|
||||
};
|
||||
|
||||
addOptimisticRun(optimisticRun);
|
||||
|
||||
const runResponse = await createAndRunRecording(robotMetaId, {
|
||||
maxConcurrency: 1,
|
||||
maxRepeats: 1,
|
||||
debug: false
|
||||
});
|
||||
|
||||
invalidateRuns();
|
||||
|
||||
if (runResponse && runResponse.runId) {
|
||||
await new Promise(resolve => setTimeout(resolve, 300));
|
||||
navigate(`/runs/${robotMetaId}/run/${runResponse.runId}`);
|
||||
notify('info', `Run started: ${robotName}`);
|
||||
} else {
|
||||
notify('warning', 'Robot created but failed to start execution.');
|
||||
navigate('/robots');
|
||||
}
|
||||
} catch (error: any) {
|
||||
console.error('Error in AI robot creation:', error);
|
||||
removeOptimisticRobot(tempRobotId);
|
||||
invalidateRecordings();
|
||||
notify('error', error?.message || 'Failed to create and run AI robot');
|
||||
}
|
||||
}}
|
||||
disabled={!url.trim() || !extractRobotName.trim() || !aiPrompt.trim() || isLoading}
|
||||
sx={{
|
||||
bgcolor: '#ff00c3',
|
||||
py: 1.4,
|
||||
fontSize: '1rem',
|
||||
textTransform: 'none',
|
||||
borderRadius: 2
|
||||
}}
|
||||
startIcon={isLoading ? <CircularProgress size={20} color="inherit" /> : null}
|
||||
>
|
||||
{isLoading ? 'Creating & Running...' : 'Create & Run Robot'}
|
||||
</Button>
|
||||
</Box>
|
||||
)}
|
||||
|
||||
{generationMode === 'recorder' && (
|
||||
<Box sx={{ width: '100%', maxWidth: 700 }}>
|
||||
<Button
|
||||
variant="contained"
|
||||
fullWidth
|
||||
onClick={handleStartRecording}
|
||||
disabled={!url.trim() || isLoading}
|
||||
sx={{
|
||||
bgcolor: '#ff00c3',
|
||||
py: 1.4,
|
||||
fontSize: '1rem',
|
||||
textTransform: 'none',
|
||||
borderRadius: 2
|
||||
}}
|
||||
startIcon={isLoading ? <CircularProgress size={20} color="inherit" /> : null}
|
||||
>
|
||||
{isLoading ? 'Starting...' : 'Start Recording'}
|
||||
</Button>
|
||||
</Box>
|
||||
)}
|
||||
</Box>
|
||||
</Card>
|
||||
</TabPanel>
|
||||
|
||||
<TabPanel value={tabValue} index={2}>
|
||||
<TabPanel value={tabValue} index={1}>
|
||||
<Card sx={{ mb: 4, p: 4, textAlign: 'center' }}>
|
||||
<Box display="flex" flexDirection="column" alignItems="center">
|
||||
<img
|
||||
|
||||
Reference in New Issue
Block a user