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assets/index-DwF4hvla.js

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+(function(){const e=document.createElement("link").relList;if(e&&e.supports&&e.supports("modulepreload"))return;for(const r of document.querySelectorAll('link[rel="modulepreload"]'))i(r);new MutationObserver(r=>{for(const s of r)if(s.type==="childList")for(const o of s.addedNodes)o.tagName==="LINK"&&o.rel==="modulepreload"&&i(o)}).observe(document,{childList:!0,subtree:!0});function t(r){const s={};return r.integrity&&(s.integrity=r.integrity),r.referrerPolicy&&(s.referrerPolicy=r.referrerPolicy),r.crossOrigin==="use-credentials"?s.credentials="include":r.crossOrigin==="anonymous"?s.credentials="omit":s.credentials="same-origin",s}function i(r){if(r.ep)return;r.ep=!0;const s=t(r);fetch(r.href,s)}})();class N{constructor(){this.mediaRecorder=null,this.audioChunks=[],this.stream=null,this.isRecording=!1}async start(){if(this.isRecording)throw new Error("Already recording");try{this.stream=await navigator.mediaDevices.getUserMedia({audio:!0});const e=this.getRecorderOptions();this.mediaRecorder=new MediaRecorder(this.stream,e),this.audioChunks=[],this.mediaRecorder.ondataavailable=t=>{t.data.size>0&&this.audioChunks.push(t.data)},this.mediaRecorder.start(1e3),this.isRecording=!0,console.log("Audio recording started")}catch(e){throw console.error("Error accessing microphone:",e),new Error(`Failed to access microphone: ${e.message}`)}}async stop(){if(!this.isRecording)throw new Error("Not recording");return new Promise((e,t)=>{this.mediaRecorder.onstop=async()=>{try{await this.stopStream();const i=new Blob(this.audioChunks,{type:this.mediaRecorder.mimeType});this.audioChunks=[],this.isRecording=!1,console.log("Audio recording stopped"),e(i)}catch(i){t(i)}};try{this.mediaRecorder.stop()}catch(i){t(i)}})}async stopStream(){if(this.stream){const e=this.stream.getTracks();for(const t of e)t.stop();this.stream=null}}getRecorderOptions(){return{mimeType:this.getSupportedMimeType(),audioBitsPerSecond:128e3}}getSupportedMimeType(){const e=["audio/webm;codecs=opus","audio/webm","audio/ogg;codecs=opus","audio/ogg","audio/mp4","audio/mpeg"];for(const t of e)if(MediaRecorder.isTypeSupported(t))return t;return""}async checkPermission(){try{return(await navigator.permissions.query({name:"microphone"})).state}catch{try{const t=await navigator.mediaDevices.getUserMedia({audio:!0});return await this.stopStream(),"granted"}catch{return"denied"}}}}class B{constructor(){this.recognition=null,this.isInitialized=!1,this.isTranscribing=!1,this.onTranscriptCallback=null,this.finalTranscript="",this.interimTranscript=""}async initialize(){if(!this.isInitialized){console.log("Initializing STT (Web Speech API)...");try{const e=window.SpeechRecognition||window.webkitSpeechRecognition;if(!e)throw new Error("Speech recognition not supported in this browser. Please use Chrome, Edge, or Safari.");this.recognition=new e,this.recognition.continuous=!0,this.recognition.interimResults=!0,this.recognition.lang="en-US",this.recognition.maxAlternatives=1,this.isInitialized=!0,console.log("STT initialized successfully (Web Speech API)")}catch(e){throw console.error("Failed to initialize STT:",e),e}}}async startLiveTranscription(e){return this.isInitialized||await this.initialize(),this.onTranscriptCallback=e,this.finalTranscript="",this.interimTranscript="",this.isTranscribing=!0,console.log("Starting live transcription..."),new Promise((t,i)=>{this.recognition.onresult=r=>{let s="";for(let n=r.resultIndex;n<r.results.length;n++){const a=r.results[n][0].transcript;r.results[n].isFinal?this.finalTranscript+=a+" ":(s+=a,this.interimTranscript=s)}const o=this.finalTranscript+s;this.onTranscriptCallback&&this.onTranscriptCallback(o)},this.recognition.onerror=r=>{console.error("Speech recognition error:",r.error),r.error==="not-allowed"?i(new Error("Microphone permission denied. Please allow microphone access.")):r.error==="no-speech"?console.log("No speech detected yet..."):i(new Error(`Speech recognition error: ${r.error}`))},this.recognition.onend=()=>{if(this.isTranscribing)try{this.recognition.start()}catch{console.log("Recognition stopped")}},this.recognition.onstart=()=>{console.log("Recognition started"),t()};try{this.recognition.start()}catch(r){i(r)}})}async stopLiveTranscription(){return this.isTranscribing=!1,new Promise(e=>{this.recognition.onend=()=>{console.log("Recognition stopped"),e()};try{this.recognition.stop()}catch{e()}})}async getFinalTranscript(){return this.finalTranscript.trim()}async transcribe(e){return this.finalTranscript.trim()||"No transcript available"}}const $="modulepreload",z=function(l,e){return new URL(l,e).href},P={},L=function(e,t,i){let r=Promise.resolve();if(t&&t.length>0){const o=document.getElementsByTagName("link"),n=document.querySelector("meta[property=csp-nonce]"),a=(n==null?void 0:n.nonce)||(n==null?void 0:n.getAttribute("nonce"));r=Promise.allSettled(t.map(c=>{if(c=z(c,i),c in P)return;P[c]=!0;const d=c.endsWith(".css"),u=d?'[rel="stylesheet"]':"";if(!!i)for(let p=o.length-1;p>=0;p--){const m=o[p];if(m.href===c&&(!d||m.rel==="stylesheet"))return}else if(document.querySelector(`link[href="${c}"]${u}`))return;const h=document.createElement("link");if(h.rel=d?"stylesheet":$,d||(h.as="script"),h.crossOrigin="",h.href=c,a&&h.setAttribute("nonce",a),document.head.appendChild(h),d)return new Promise((p,m)=>{h.addEventListener("load",p),h.addEventListener("error",()=>m(new Error(`Unable to preload CSS for ${c}`)))})}))}function s(o){const n=new Event("vite:preloadError",{cancelable:!0});if(n.payload=o,window.dispatchEvent(n),!n.defaultPrevented)throw o}return r.then(o=>{for(const n of o||[])n.status==="rejected"&&s(n.reason);return e().catch(s)})};class A{constructor(e={}){this.model=null,this.tokenizer=null,this.isInitialized=!1,this.isModelLoading=!1,this.initializationPromise=null,this.modelConfig={modelId:e.modelId||"LiquidAI/LFM2.5-1.2B-Instruct-ONNX",modelFileName:e.modelFileName||"model",subfolder:e.subfolder||"onnx",dtype:e.dtype||"q4",preferredDevice:e.preferredDevice||"webgpu",requiresWebGPU:e.requiresWebGPU||!1,maxTokens:e.maxTokens||2048,temperature:e.temperature??.1,topP:e.topP??.9,repetitionPenalty:e.repetitionPenalty??1.1,...e},this.onProgress=e.onProgress||(()=>{})}async initialize(){if(!this.isInitialized){if(this.initializationPromise)return this.initializationPromise;this.initializationPromise=this.initializeGenerator();try{await this.initializationPromise}finally{this.initializationPromise=null}}}async initializeGenerator(){this.isModelLoading=!0,this.onProgress(10,"Importing transformers library...");try{const{pipeline:e,env:t}=await L(async()=>{const{pipeline:r,env:s}=await import("./transformers.web-BJrd5lgs.js");return{pipeline:r,env:s}},[],import.meta.url);if(t.allowLocalModels=!1,t.backends.onnx.wasm&&(t.backends.onnx.wasm.numThreads=1,t.backends.onnx.wasm.wasmPaths="https://cdn.jsdelivr.net/npm/onnxruntime-web/dist/"),!(typeof navigator<"u"&&!!navigator.gpu))throw new Error("WebGPU is required for the Liquid AI browser model.");this.onProgress(30,"Downloading model..."),this.generator=await e("text-generation",this.modelConfig.modelId,{dtype:this.modelConfig.dtype,device:this.modelConfig.preferredDevice,progress_callback:r=>{if(r.status!=="progress")return;const s=Number.isFinite(r.progress)?r.progress:0,o=r.file??"model";this.onProgress(Math.max(30,Math.min(90,30+Math.floor(s*.6))),`Downloading model: ${o}... ${Math.round(s)}%`)}}),this.onProgress(100,"Model loaded successfully!"),this.isInitialized=!0,console.log(`ONNX LLM Engine initialized with ${this.modelConfig.modelId}`)}catch(e){throw console.error("Model initialization failed:",e),new Error(`Failed to load model: ${e.message}`)}finally{this.isModelLoading=!1}}async generate(e,t={}){this.isInitialized||await this.initialize();const{maxNewTokens:i=t.maxNewTokens||1024,temperature:r=t.temperature||this.modelConfig.temperature,topP:s=t.topP||this.modelConfig.topP,doSample:o=t.doSample??!0,stopTokens:n=t.stopTokens||[],onProgress:a=null,progressMessage:c="Generating response",progressRange:d=[0,100]}=t;try{let u;if(a){const{TextStreamer:p}=await L(async()=>{const{TextStreamer:S}=await import("./transformers.web-BJrd5lgs.js");return{TextStreamer:S}},[],import.meta.url),[m,x]=d;let w=0,T=0;a(m,`${c}...`),u=new p(this.generator.tokenizer,{skip_prompt:!0,skip_special_tokens:!1,token_callback_function:()=>{if(w+=1,w===1||w-T>=12||w===i){T=w;const S=Math.min(w/Math.max(i,1),.98),C=m+Math.floor((x-m)*S);a(C,`${c} (${w} tokens)`)}}})}let h=(await this.generator(e,{max_new_tokens:i,temperature:r,top_p:s,do_sample:o,return_full_text:!1,...u?{streamer:u}:{}}))[0].generated_text;for(const p of n){const m=h.indexOf(p);m!==-1&&(h=h.substring(0,m))}return a&&a(d[1],`${c} complete`),h.trim()}catch(u){throw console.error("Generation failed:",u),new Error(`Text generation failed: ${u.message}`)}}async generateJson(e,t={}){const i=this.buildJsonPrompt(e,t),r=await this.generate(i,{temperature:.3,maxNewTokens:2048});try{const s=r.match(/\{[\s\S]*\}/);if(s)return JSON.parse(s[0]);throw new Error("No valid JSON found in response")}catch(s){return console.error("JSON parsing error:",s),this.parseStructuredText(r)}}buildJsonPrompt(e,t){return`<|im_start|>system
+You are a medical data extraction assistant. Extract structured information from medical consultation transcripts.
+Always respond with valid JSON only. No markdown, no explanations, just the JSON object.
+<|im_end|>
+<|im_start|>user
+${e}
+
+Required schema:
+${JSON.stringify(t,null,2)}
+<|im_end|>
+<|im_start|>assistant
+`}parseStructuredText(e){const t={},i=e.split(`
+`);let r=null;for(const s of i){const o=s.trim();if(!o)continue;const n=o.match(/^([A-Za-z_]+)\s*[:\-]\s*(.+)$/);n?(r=n[1],t[r]=n[2]):r&&(t[r]+=" "+o)}return t}isReady(){return this.isInitialized}getModelInfo(){return{modelId:this.modelConfig.modelId,isInitialized:this.isInitialized,isLoading:this.isModelLoading,maxTokens:this.modelConfig.maxTokens}}async dispose(){this.generator&&(await this.generator.dispose(),this.generator=null),this.isInitialized=!1,this.isModelLoading=!1,this.initializationPromise=null,console.log("Model disposed from memory")}}const D={"LiquidAI/LFM2.5-1.2B-Instruct-ONNX":{modelId:"LiquidAI/LFM2.5-1.2B-Instruct-ONNX",subfolder:"onnx",modelFileName:"model",dtype:"q4",preferredDevice:"webgpu",requiresWebGPU:!1},"Xenova/Qwen2.5-1.5B-Instruct":{modelId:"onnx-community/Qwen2.5-1.5B-Instruct",subfolder:"onnx",modelFileName:"model",dtype:"q4",preferredDevice:"webgpu"},"Xenova/Phi-3-mini-4k-instruct":{modelId:"Xenova/Phi-3-mini-4k-instruct",subfolder:"onnx",modelFileName:"model",dtype:"q4",preferredDevice:"webgpu"},"Xenova/TinyLlama-1.1B-chat":{modelId:"Xenova/TinyLlama-1.1B-Chat-v1.0",subfolder:"onnx",modelFileName:"model",dtype:"q4",preferredDevice:"webgpu"}};function q(l){return l==="keyword"?null:D[l]||{modelId:l,subfolder:"onnx",modelFileName:"model",dtype:"q4",preferredDevice:"webgpu"}}class F{constructor(){this.isInitialized=!1,this.llm=null,this.useLLM=!0,this.currentModel="LiquidAI/LFM2.5-1.2B-Instruct-ONNX",this.maxDirectTranscriptChars=6e3,this.maxChunkChars=3200}async initialize(e,t=null){if(t&&t!==this.currentModel&&(this.currentModel=t,this.isInitialized=!1),this.isInitialized)return;console.log("Initializing Medical Extractor..."),this.useLLM=!0;const i=q(this.currentModel),r=typeof navigator<"u"&&!!navigator.gpu;if(i!=null&&i.requiresWebGPU&&!r)throw new Error(`${this.currentModel} requires WebGPU. No non-LLM fallback is enabled.`);try{this.llm=new A({...i,maxTokens:2048,temperature:.1,onProgress:(s,o)=>{e&&e(s,o)}}),await this.llm.initialize(),console.log(`LLM Engine ready with model: ${(i==null?void 0:i.modelId)||this.currentModel}`)}catch(s){throw this.llm=null,this.isInitialized=!1,new Error(`LLM initialization failed for ${this.currentModel}: ${s.message}`)}this.isInitialized=!0,console.log("Medical Extractor initialized successfully")}async dispose(){this.llm&&(await this.llm.dispose(),this.llm=null),this.isInitialized=!1,console.log("Medical Extractor disposed")}async extract(e,t=null){this.isInitialized||await this.initialize(),console.log("Extracting medical data...");try{if(!this.llm||!this.llm.isReady())throw new Error("LLM is not ready. Report generation is LLM-only.");console.log("Using LLM for extraction..."),this.reportProgress(t,5,"Preparing clinical extraction...");const i=await this.extractUsingLLM(e,t);return this.reportProgress(t,100,"Structured report ready"),console.log("Medical data extracted successfully"),i}catch(i){throw console.error("Extraction error:",i),new Error(`Medical data extraction failed: ${i.message}`)}}async extractUsingLLM(e,t=null){if(this.shouldBatchTranscript(e))return this.reportProgress(t,10,"Long transcript detected. Processing in batches..."),this.extractUsingBatchedLLM(e,t);const i=this.buildMedicalPrompt(e);this.reportProgress(t,15,"Generating structured extraction...");const r=await this.generateStructuredMedicalData(i,e,{onProgress:t,progressRange:[15,72],progressMessage:"Generating structured extraction"});return this.reportProgress(t,76,"Validating narrative sections..."),this.ensureClinicalNarratives(e,r,t,[76,98])}async extractUsingBatchedLLM(e,t=null){console.log("Transcript exceeds direct context budget. Processing in batches...");const i=this.chunkTranscript(e),r=[];for(const[n,a]of i.entries())try{const c=15+Math.floor(n/i.length*50),d=15+Math.floor((n+1)/i.length*50),u=this.buildMedicalPrompt(a,`This is segment ${n+1} of ${i.length} from a longer consultation. Extract only the facts explicitly present in this segment.`);this.reportProgress(t,c,`Analyzing transcript batch ${n+1} of ${i.length}...`);const g=await this.generateStructuredMedicalData(u,a,{maxNewTokens:1400,onProgress:t,progressRange:[c,Math.max(c+1,d-2)],progressMessage:`Generating batch ${n+1} of ${i.length}`});r.push(g)}catch(c){throw new Error(`Chunk ${n+1}/${i.length} extraction failed: ${c.message}`)}this.reportProgress(t,68,"Merging extracted batches...");const s=this.mergePartialResults(r),o=await this.consolidateNarratives(r,s,e,t,[72,88]);return this.reportProgress(t,90,"Finalizing combined clinical note..."),this.ensureClinicalNarratives(e,{incident_record:o.incident_record||s.incident_record||"",prescription:s.prescription||[],lab_recommendations:s.lab_recommendations||[],radiology_recommendations:s.radiology_recommendations||[],treatment_plan:o.treatment_plan||s.treatment_plan||"",diet_advice:s.diet_advice||[],summary:o.summary||s.summary||""},t,[90,98])}buildMedicalPrompt(e,t=""){return`<|im_start|>system
+You are an expert medical consultation assistant. Extract structured medical information from the consultation transcript.
+
+IMPORTANT RULES:
+1. Respond with valid JSON only - no markdown, no explanations, no code fences
+2. Extract only information explicitly mentioned in the transcript
+3. Use professional medical terminology
+4. For medication names, use generic names unless brand name is specifically mentioned
+5. If a field is not mentioned, use empty string [] or "" as appropriate
+6. incident_record, treatment_plan, and summary should be detailed paragraphs
+7. prescription should be an array of objects with exact structure: [{"drug": "", "dose": "", "frequency": "", "duration": ""}]
+8. Never copy speaker labels, direct dialogue, or first-person / second-person wording into narrative fields
+
+JSON STRUCTURE REQUIRED:
+{
+  "incident_record": "Detailed paragraph including: chief complaint, history of present illness, symptoms, duration, onset",
+  "prescription": [
+    {"drug": "medication name", "dose": "e.g., 500mg", "frequency": "e.g., twice daily", "duration": "e.g., 5 days"}
+  ],
+  "lab_recommendations": ["Complete Blood Count", "Fasting Blood Sugar", ...],
+  "radiology_recommendations": ["Chest X-ray", "CT Scan", ...],
+  "treatment_plan": "Detailed paragraph explaining the treatment approach, primary interventions, and management strategy",
+  "diet_advice": ["Specific dietary recommendation 1", "Specific dietary recommendation 2", ...],
+  "summary": "Comprehensive summary covering: patient presentation, key findings, assessment, and plan"
+}
+
+EXAMPLES:
+- For doses: use formats like "500mg", "10mg", "5ml"
+- For frequency: use "once daily", "twice daily", "three times daily", "every 8 hours", "as needed"
+- For duration: use "5 days", "1 week", "2 weeks", "until completion"
+- For labs: use specific test names like "Complete Blood Count (CBC)", "Fasting Blood Sugar", "Lipid Profile"
+- For radiology: use specific studies like "Chest X-ray", "CT Scan abdomen", "MRI brain"
+${t?`
+ADDITIONAL INSTRUCTION:
+${t}`:""}
+<|im_end|>
+<|im_start|>user
+Please analyze this medical consultation transcript and extract structured medical data:
+
+TRANSCRIPT:
+${e}
+
+Provide the extracted information as JSON following the structure above.
+<|im_end|>
+<|im_start|>assistant
+`}buildConsolidationPrompt(e){return`<|im_start|>system
+You are an expert medical documentation assistant. You will be given structured outputs extracted from multiple transcript segments of the same consultation.
+
+IMPORTANT RULES:
+1. Respond with valid JSON only
+2. Merge overlapping details into one coherent clinical note
+3. Do not invent facts that are not present in the partial extractions
+4. Write incident_record, treatment_plan, and summary as polished clinical prose
+5. Do not include raw dialogue, speaker labels, or question-and-answer phrasing
+
+JSON STRUCTURE REQUIRED:
+{
+  "incident_record": "",
+  "treatment_plan": "",
+  "summary": ""
+}
+<|im_end|>
+<|im_start|>user
+Combine the following partial consultation extractions into one coherent final narrative:
+
+${JSON.stringify(e,null,2)}
+<|im_end|>
+<|im_start|>assistant
+`}buildRepairPrompt(e){return`<|im_start|>system
+You are a medical data extraction assistant. Convert the provided model output into valid JSON only.
+
+IMPORTANT RULES:
+1. Respond with valid JSON only
+2. If a field is missing, leave it as an empty string or empty array
+3. Do not add information that is not present in the supplied output
+
+JSON STRUCTURE REQUIRED:
+{
+  "incident_record": "",
+  "prescription": [
+    {"drug": "", "dose": "", "frequency": "", "duration": ""}
+  ],
+  "lab_recommendations": [],
+  "radiology_recommendations": [],
+  "treatment_plan": "",
+  "diet_advice": [],
+  "summary": ""
+}
+<|im_end|>
+<|im_start|>user
+Repair this model output into valid JSON:
+
+${e}
+<|im_end|>
+<|im_start|>assistant
+`}buildClinicalRewritePrompt(e,t){return`<|im_start|>system
+You are an expert clinical documentation assistant. Rewrite the extracted consultation data into polished clinical documentation.
+
+IMPORTANT RULES:
+1. Respond with valid JSON only
+2. incident_record, treatment_plan, and summary must be formal clinical prose
+3. Do not include raw dialogue, speaker labels, questions, or transcript snippets
+4. Convert clinician advice and warning signs into appropriate clinical plan wording
+5. Preserve prescription, lab_recommendations, radiology_recommendations, and diet_advice unless they conflict with the transcript
+6. Use only facts explicitly supported by the transcript
+
+JSON STRUCTURE REQUIRED:
+{
+  "incident_record": "",
+  "prescription": [
+    {"drug": "", "dose": "", "frequency": "", "duration": ""}
+  ],
+  "lab_recommendations": [],
+  "radiology_recommendations": [],
+  "treatment_plan": "",
+  "diet_advice": [],
+  "summary": ""
+}
+<|im_end|>
+<|im_start|>user
+Transcript:
+${e}
+
+Current extraction:
+${JSON.stringify(t,null,2)}
+
+Rewrite the narrative fields so they read like a clinical note and summary, not a transcript.
+<|im_end|>
+<|im_start|>assistant
+`}parseLLMResponse(e){try{const i=e.replace(/```json\n?/g,"").replace(/```\n?/g,"").trim().match(/\{[\s\S]*\}/);if(i){const r=JSON.parse(i[0]);return this.validateAndNormalize(r)}return console.warn("No JSON found in LLM response"),{}}catch(t){return console.error("Failed to parse LLM JSON response:",t),console.log("Response was:",e),{}}}async generateStructuredMedicalData(e,t,i={}){const r=await this.llm.generate(e,{maxNewTokens:i.maxNewTokens||2048,temperature:.1,onProgress:i.onProgress,progressRange:i.progressRange,progressMessage:i.progressMessage||"Generating structured extraction"});let s=this.parseLLMResponse(r);if(this.isEmptyExtraction(s)){const o=this.createSubRange(i.progressRange,.82,.98);this.reportProgress(i.onProgress,o[0],"Repairing model output..."),s=await this.repairStructuredMedicalData(r,i.onProgress,o)}if(this.isEmptyExtraction(s))throw new Error("LLM returned an empty structured extraction");return this.validateAndNormalize(s)}validateAndNormalize(e){return{incident_record:this.ensureString(e.incident_record),prescription:this.ensureArray(e.prescription).map(i=>({drug:this.ensureString(i==null?void 0:i.drug),dose:this.ensureString(i==null?void 0:i.dose),frequency:this.ensureString(i==null?void 0:i.frequency),duration:this.ensureString(i==null?void 0:i.duration)})).filter(i=>i.drug),lab_recommendations:this.ensureArray(e.lab_recommendations).filter(Boolean),radiology_recommendations:this.ensureArray(e.radiology_recommendations).filter(Boolean),treatment_plan:this.ensureString(e.treatment_plan),diet_advice:this.ensureArray(e.diet_advice).filter(Boolean),summary:this.ensureString(e.summary)}}ensureString(e){return typeof e=="string"?e.trim():e==null?"":String(e).trim()}ensureArray(e){return Array.isArray(e)?e:e==null?[]:[e]}isEmptyExtraction(e){return e?!e.incident_record&&(!e.prescription||e.prescription.length===0)&&(!e.lab_recommendations||e.lab_recommendations.length===0)&&(!e.radiology_recommendations||e.radiology_recommendations.length===0)&&!e.treatment_plan&&(!e.diet_advice||e.diet_advice.length===0)&&!e.summary:!0}async repairStructuredMedicalData(e,t=null,i=[0,100]){try{const r=await this.llm.generate(this.buildRepairPrompt(e),{maxNewTokens:1200,temperature:.1,onProgress:t,progressRange:i,progressMessage:"Repairing structured output"});return this.parseLLMResponse(r)}catch(r){return console.warn("Failed to repair malformed LLM response:",r),{}}}async ensureClinicalNarratives(e,t,i=null,r=[0,100]){var c,d,u,g;const s=this.validateAndNormalize(t);if(!this.hasTranscriptLikeNarratives(s))return this.reportProgress(i,r[1],"Clinical note validated"),s;this.reportProgress(i,r[0],"Rewriting transcript-style output into clinical prose...");const o=await this.llm.generate(this.buildClinicalRewritePrompt(e,s),{maxNewTokens:1600,temperature:.1,onProgress:i,progressRange:r,progressMessage:"Rewriting clinical narrative"});let n=this.parseLLMResponse(o);if(this.isEmptyExtraction(n)){const h=this.createSubRange(r,.8,.98);n=await this.repairStructuredMedicalData(o,i,h)}const a=this.validateAndNormalize({incident_record:n.incident_record||s.incident_record,prescription:(c=n.prescription)!=null&&c.length?n.prescription:s.prescription,lab_recommendations:(d=n.lab_recommendations)!=null&&d.length?n.lab_recommendations:s.lab_recommendations,radiology_recommendations:(u=n.radiology_recommendations)!=null&&u.length?n.radiology_recommendations:s.radiology_recommendations,treatment_plan:n.treatment_plan||s.treatment_plan,diet_advice:(g=n.diet_advice)!=null&&g.length?n.diet_advice:s.diet_advice,summary:n.summary||s.summary});if(this.hasTranscriptLikeNarratives(a))throw new Error("LLM returned transcript-style dialogue instead of clinical prose");return this.reportProgress(i,r[1],"Clinical note finalized"),a}reportProgress(e,t,i){typeof e=="function"&&e(Math.max(0,Math.min(100,t)),i)}createSubRange(e=[0,100],t=0,i=1){const[r,s]=e,o=Math.max(0,s-r);return[r+Math.floor(o*t),r+Math.floor(o*i)]}hasTranscriptLikeNarratives(e){return[e.incident_record,e.treatment_plan,e.summary].some(t=>this.isTranscriptLikeNarrative(t))}isTranscriptLikeNarrative(e){const t=this.ensureString(e);if(!t)return!1;const i=/\b(?:doctor|patient|nurse|clinician|caregiver)\s*:/i.test(t),r=t.includes("?"),s=/\b(?:i|my|me|mine|you|your|yours)\b/i.test(t),o=t.split(`
+`).map(n=>n.trim()).filter(Boolean).some(n=>/^[A-Za-z][A-Za-z ]{1,20}:\s/.test(n));return i||r||s||o}shouldBatchTranscript(e){return e.length>this.maxDirectTranscriptChars}chunkTranscript(e){const t=e.split(/\n\s*\n/).map(s=>s.trim()).filter(Boolean),i=[];let r="";for(const s of t){if(s.length>this.maxChunkChars){const n=this.splitLargeBlock(s);for(const a of n)r&&(i.push(r.trim()),r=""),i.push(a.trim());continue}const o=r?`${r}
+
+${s}`:s;o.length>this.maxChunkChars?(i.push(r.trim()),r=s):r=o}return r.trim()&&i.push(r.trim()),i.length>0?i:this.splitLargeBlock(e)}splitLargeBlock(e){const t=e.match(/[^.!?]+[.!?]*/g)||[e],i=[];let r="";for(const s of t){const o=s.trim();if(!o)continue;if(o.length>this.maxChunkChars){r.trim()&&(i.push(r.trim()),r="");for(let a=0;a<o.length;a+=this.maxChunkChars)i.push(o.slice(a,a+this.maxChunkChars).trim());continue}const n=r?`${r} ${o}`:o;n.length>this.maxChunkChars?(i.push(r.trim()),r=o):r=n}return r.trim()&&i.push(r.trim()),i.filter(Boolean)}mergePartialResults(e){const t={incident_record:"",prescription:[],lab_recommendations:[],radiology_recommendations:[],treatment_plan:"",diet_advice:[],summary:""},i=[],r=[],s=[],o=new Set;return e.forEach(n=>{n.incident_record&&i.push(n.incident_record),n.treatment_plan&&r.push(n.treatment_plan),n.summary&&s.push(n.summary),(n.prescription||[]).forEach(a=>{const c=[this.ensureString(a.drug).toLowerCase(),this.ensureString(a.dose).toLowerCase(),this.ensureString(a.frequency).toLowerCase(),this.ensureString(a.duration).toLowerCase()].join("|");!o.has(c)&&a.drug&&(o.add(c),t.prescription.push({drug:this.ensureString(a.drug),dose:this.ensureString(a.dose),frequency:this.ensureString(a.frequency),duration:this.ensureString(a.duration)}))}),t.lab_recommendations=this.mergeUniqueStrings(t.lab_recommendations,n.lab_recommendations||[]),t.radiology_recommendations=this.mergeUniqueStrings(t.radiology_recommendations,n.radiology_recommendations||[]),t.diet_advice=this.mergeUniqueStrings(t.diet_advice,n.diet_advice||[])}),t.incident_record=this.combineNarrativeSections(i),t.treatment_plan=this.combineNarrativeSections(r),t.summary=this.combineNarrativeSections(s),t}async consolidateNarratives(e,t,i,r=null,s=[0,100]){if(!this.llm||e.length<=1)return this.reportProgress(r,s[1],"Batch merge complete"),{incident_record:t.incident_record,treatment_plan:t.treatment_plan,summary:t.summary};try{this.reportProgress(r,s[0],"Consolidating batched extraction...");const o=await this.llm.generate(this.buildConsolidationPrompt(e),{maxNewTokens:1400,temperature:.1,onProgress:r,progressRange:s,progressMessage:"Consolidating batch results"}),n=this.parseLLMResponse(o);return this.reportProgress(r,s[1],"Batch consolidation complete"),{incident_record:n.incident_record||t.incident_record||"",treatment_plan:n.treatment_plan||t.treatment_plan||"",summary:n.summary||t.summary||""}}catch(o){return console.warn("Narrative consolidation failed, using merged partial narratives:",o),{incident_record:t.incident_record||"",treatment_plan:t.treatment_plan||"",summary:t.summary||""}}}mergeUniqueStrings(e,t){const i=new Map(e.map(r=>[r.toLowerCase(),r]));return t.forEach(r=>{const s=this.ensureString(r);if(!s)return;const o=s.toLowerCase();i.has(o)||i.set(o,s)}),[...i.values()]}combineNarrativeSections(e){return this.mergeUniqueStrings([],e).join(`
+
+`)}extractExplicitFallback(e){const t=e.toLowerCase();return{incident_record:this.extractExplicitNarrative(e,["complain","complains","presents","history","reports","pain","fever","cough"])||e.trim(),prescription:this.extractPrescriptionFromTranscript(e),lab_recommendations:this.extractLabs(t),radiology_recommendations:this.extractRadiology(t),treatment_plan:this.extractExplicitNarrative(e,["prescribed","advised","recommended","started on","take","plan","follow"]),diet_advice:this.extractDietAdviceFromTranscript(e),summary:this.extractExplicitNarrative(e,["assessment","diagnosis","impression","plan","recommended"])||e.trim()}}extractExplicitNarrative(e,t){const r=e.split(new RegExp("(?<=[.!?])\\s+")).map(s=>s.trim()).filter(Boolean).filter(s=>{const o=s.toLowerCase();return t.some(n=>o.includes(n))});return this.mergeUniqueStrings([],r).join(" ")}extractPrescriptionFromTranscript(e){const t=["paracetamol","ibuprofen","amoxicillin","azithromycin","metformin","lisinopril","atorvastatin","omeprazole","acetaminophen"],i=["once daily","twice daily","three times daily","four times daily","daily","bid","tid","qid","prn","every 8 hours","every 12 hours"],r=/\b\d+\s*(?:day|days|week|weeks|month|months)\b/i,s=/\b\d+(?:\.\d+)?\s?(?:mg|mcg|g|ml)\b/i,o=e.split(new RegExp("(?<=[.!?])\\s+|\\n+")).map(c=>c.trim()).filter(Boolean),n=[],a=new Set;return o.forEach(c=>{var x,w;const d=c.toLowerCase(),u=t.find(T=>d.includes(T));if(!u)return;const g=((x=c.match(s))==null?void 0:x[0])||"",h=i.find(T=>d.includes(T))||"",p=((w=c.match(r))==null?void 0:w[0])||"",m=[u,g.toLowerCase(),h.toLowerCase(),p.toLowerCase()].join("|");a.has(m)||(a.add(m),n.push({drug:this.capitalize(u),dose:g,frequency:h,duration:p}))}),n}extractDietAdviceFromTranscript(e){return this.extractAdviceSentences(e,["diet","avoid","fluid","water","hydrate","meal","eat","rest","sleep","exercise"])}extractAdviceSentences(e,t){const i=e.split(new RegExp("(?<=[.!?])\\s+|\\n+")).map(r=>r.trim()).filter(Boolean);return this.mergeUniqueStrings([],i.filter(r=>{const s=r.toLowerCase();return t.some(o=>s.includes(o))}))}generateIncidentMarkdown(e,t){const i=[],r=this.extractChiefComplaint(e);r&&(i.push("**Chief Complaint:**"),i.push(r),i.push(""));const s=this.extractHistory(e);s&&(i.push("**History of Present Illness:**"),i.push(s),i.push(""));const o=this.extractSymptoms(e);o.length>0&&(i.push("**Symptoms:**"),o.forEach(a=>i.push(`- ${a}`)),i.push(""));const n=this.extractDuration(e);return n&&(i.push(`**Duration:** ${n}`),i.push("")),i.length===0?e:i.join(`
+`)}generateTreatmentMarkdown(e,t){const i=[],r=this.extractPrimaryTreatment(e);r&&(i.push("**Primary Treatment:**"),i.push(r),i.push("")),t.prescription&&t.prescription.length>0&&(i.push("**Medications Prescribed:**"),t.prescription.forEach(n=>{i.push(`- **${n.drug}** (${n.dose})`),i.push(`  - Frequency: ${n.frequency}`),i.push(`  - Duration: ${n.duration}`)}),i.push(""));const s=this.extractFollowUp(e);s&&(i.push("**Follow-up:**"),i.push(s),i.push(""));const o=this.extractLifestyle(e);return o.length>0&&(i.push("**Lifestyle Recommendations:**"),o.forEach(n=>i.push(`- ${n}`))),i.join(`
+`)}generateSummaryMarkdown(e,t){const i=[];i.push("**Consultation Summary**"),i.push("");const r=this.extractPresentation(e);i.push(`**Presentation:** ${r}`),i.push("");const s=this.extractFindings(e);s.length>0&&(i.push("**Key Findings:**"),s.forEach(a=>i.push(`- ${a}`)),i.push(""));const o=this.extractAssessment(e);i.push(`**Assessment:** ${o}`),i.push("");const n=this.extractPlan(e);return i.push(`**Plan:** ${n}`),i.join(`
+`)}extractUsingKeywords(e){const t=e.toLowerCase();return{incident_record:e,prescription:this.extractPrescription(t),lab_recommendations:this.extractLabs(t),radiology_recommendations:this.extractRadiology(t),treatment_plan:e,diet_advice:this.extractDietAdvice(t),summary:e}}extractChiefComplaint(e){const t=[/complain[s]?\s+(?:of\s+)?(.+?)(?:\n|\.|,)/i,/patient\s+presents?\s+with\s+(.+?)(?:\n|\.|,)/i,/came\s+for\s+(.+?)(?:\n|\.|,)/i];for(const i of t){const r=e.match(i);if(r)return this.capitalize(r[1].trim())}return null}extractHistory(e){const t=["history of","has been experiencing","reports","states","mentioned"],r=e.split(/[.!?]+/).filter(s=>t.some(o=>s.toLowerCase().includes(o)));return r.length>0?r.join(". ").trim():null}extractSymptoms(e){const t=["pain","fever","cough","headache","nausea","vomiting","fatigue","weakness","dizziness","shortness of breath","chest pain","abdominal pain","rash","swelling","constipation","diarrhea","sore throat","congestion"],i=[];return t.forEach(r=>{if(e.toLowerCase().includes(r)){const s=this.getSymptomContext(e,r);i.push(s)}}),[...new Set(i)]}getSymptomContext(e,t){const i=e.split(/[.!?]+/);for(const r of i)if(r.toLowerCase().includes(t))return r.trim();return this.capitalize(t)}extractDuration(e){const t=[/(\d+\s+(?:days?|weeks?|months?|years?))/i,/since\s+(.+?)(?:\n|\.|,)/i,/for\s+(?:the\s+past\s+)?(\d+\s+(?:days?|weeks?|months?))/i];for(const i of t){const r=e.match(i);if(r)return r[1]||r[0]}return null}extractPrescription(e){const t=[];return[{name:"paracetamol",dose:["500mg","650mg","1g"],freq:["TID","QID","PRN"]},{name:"ibuprofen",dose:["400mg","600mg","800mg"],freq:["TID","PRN"]},{name:"amoxicillin",dose:["250mg","500mg"],freq:["TID","Q8H"]},{name:"azithromycin",dose:["250mg","500mg"],freq:["Daily","QD"]},{name:"metformin",dose:["500mg","850mg","1000mg"],freq:["BID","TID"]},{name:"lisinopril",dose:["5mg","10mg","20mg"],freq:["Daily","QD"]},{name:"atorvastatin",dose:["10mg","20mg","40mg"],freq:["Daily","QHS"]},{name:"omeprazole",dose:["20mg","40mg"],freq:["Daily","BID","PRN"]}].forEach(s=>{e.includes(s.name)&&t.push({drug:this.capitalize(s.name),dose:s.dose[0]||"As prescribed",frequency:s.freq[0]||"As directed",duration:this.extractDuration(e)||"As prescribed"})}),["antibiotic","painkiller","analgesic"].forEach(s=>{e.includes(s)&&t.push({drug:this.capitalize(s),dose:"As prescribed",frequency:"As directed",duration:"As prescribed"})}),t}extractLabs(e){const t=[];return[{name:"Complete Blood Count (CBC)",keywords:["cbc","complete blood count","blood count","hemoglobin"]},{name:"Fasting Blood Sugar",keywords:["fasting blood sugar","fbs","fasting glucose","hba1c"]},{name:"Lipid Profile",keywords:["lipid profile","cholesterol","triglycerides","ldl","hdl"]},{name:"Thyroid Function Test",keywords:["thyroid","tsh","t3","t4"]},{name:"Liver Function Test",keywords:["liver function","lft","sgot","sgpt","alt","ast"]},{name:"Kidney Function Test",keywords:["kidney function","kft","creatinine","urea","bun"]},{name:"Urinalysis",keywords:["urine","urinalysis","routine urine"]},{name:"Chest X-ray",keywords:["chest xray","chest x-ray","cxr"]}].forEach(r=>{r.keywords.some(s=>e.includes(s))&&t.push(r.name)}),t.length>0?[...new Set(t)]:[]}extractRadiology(e){const t=[];return[{name:"Chest X-ray",keywords:["chest xray","chest x-ray","cxr","chest film"]},{name:"CT Scan",keywords:["ct scan","computed tomography"]},{name:"MRI",keywords:["mri","magnetic resonance"]},{name:"Ultrasound",keywords:["ultrasound","sonography","usg"]},{name:"ECG/EKG",keywords:["ecg","ekg","electrocardiogram"]},{name:"Echocardiogram",keywords:["echo","echocardiogram","2d echo"]},{name:"X-ray",keywords:["x-ray","xray"]}].forEach(r=>{r.keywords.some(s=>e.includes(s))&&t.push(r.name)}),[...new Set(t)]}extractDietAdvice(e){const t=[];return(e.includes("diabetes")||e.includes("sugar")||e.includes("diabetic"))&&(t.push("Avoid sugary foods and drinks"),t.push("Monitor carbohydrate intake"),t.push("Eat regular, balanced meals")),(e.includes("blood pressure")||e.includes("hypertension")||e.includes("bp"))&&(t.push("Reduce salt intake"),t.push("Avoid processed and canned foods"),t.push("Increase potassium-rich foods")),(e.includes("weight")||e.includes("obese")||e.includes("overweight"))&&(t.push("Follow a calorie-controlled diet"),t.push("Increase physical activity"),t.push("Limit high-fat foods")),(e.includes("constipation")||e.includes("digestive"))&&(t.push("Increase fiber intake"),t.push("Drink plenty of water"),t.push("Include fruits and vegetables")),(e.includes("acidity")||e.includes("gerd")||e.includes("reflux"))&&(t.push("Avoid spicy and oily foods"),t.push("Eat smaller, frequent meals"),t.push("Don't lie down immediately after eating")),t.length>0?[...new Set(t)]:[]}extractPrimaryTreatment(e){const t=["prescribed","advised","recommended","started on","give","take","administer","treatment"],i=e.split(/[.!?]+/);for(const r of i)if(t.some(s=>r.toLowerCase().includes(s)))return r.trim();return""}extractFollowUp(e){const t=[/follow[- ]?up\s+(?:after\s+)?(\d+\s+(?:days?|weeks?))/i,/review\s+(?:after\s+)?(\d+\s+(?:days?|weeks?))/i,/come\s+back\s+(?:if|when)/i];for(const i of t){const r=e.match(i);if(r)return r[0]}return""}extractLifestyle(e){return this.extractAdviceSentences(e,["rest","exercise","activity","stress","sleep"])}extractPresentation(e){const t=e.split(/[.!?]+/)[0];return t?t.trim():"Patient presented for consultation"}extractFindings(e){const t=[];return e.split(/[.!?]+/).forEach(r=>{const s=r.toLowerCase();(s.includes("examination")||s.includes("revealed")||s.includes("showed")||s.includes("normal"))&&t.push(r.trim())}),t.slice(0,5)}extractAssessment(e){const t=["diagnosis","assessment","impression","conclusion"],i=e.split(/[.!?]+/);for(const r of i)if(t.some(s=>r.toLowerCase().includes(s)))return r.trim();return""}extractPlan(e){return this.extractPrimaryTreatment(e)}capitalize(e){return e.charAt(0).toUpperCase()+e.slice(1)}}function R(l){return String(l??"").replace(/\r\n?/g,`
+`)}function y(l){return R(l).replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;").replace(/"/g,"&quot;").replace(/'/g,"&#39;")}function v(l){let e=y(l);return e=e.replace(/`([^`]+)`/g,"<code>$1</code>"),e=e.replace(/\*\*([^*]+)\*\*/g,"<strong>$1</strong>"),e=e.replace(/__([^_]+)__/g,"<strong>$1</strong>"),e=e.replace(/(^|[^\*])\*([^*\n]+)\*(?!\*)/g,"$1<em>$2</em>"),e=e.replace(/(^|[^_])_([^_\n]+)_(?!_)/g,"$1<em>$2</em>"),e}function _(l,{emptyHtml:e=""}={}){const t=R(l).trim();if(!t)return e;const i=t.split(`
+`),r=[];let s=[],o=null;const n=()=>{if(s.length===0)return;const d=s.map(u=>v(u.trim())).join("<br>");r.push(`<p>${d}</p>`),s=[]},a=()=>{if(!o)return;const d=o.items.map(u=>`<li>${u.join("<br>")}</li>`).join("");r.push(`<${o.type}>${d}</${o.type}>`),o=null},c=d=>{(!o||o.type!==d)&&(a(),o={type:d,items:[]})};return i.forEach(d=>{const u=d.trimEnd(),g=u.trim();if(!g){n(),a();return}const h=g.match(/^(#{1,4})\s+(.*)$/);if(h){n(),a();const x=Math.min(h[1].length+2,6);r.push(`<h${x}>${v(h[2].trim())}</h${x}>`);return}const p=u.match(/^\s*[-*+]\s+(.*)$/);if(p){n(),c("ul"),o.items.push([v(p[1].trim())]);return}const m=u.match(/^\s*\d+\.\s+(.*)$/);if(m){n(),c("ol"),o.items.push([v(m[1].trim())]);return}if(o&&/^\s{2,}\S/.test(u)&&o.items.length>0){o.items[o.items.length-1].push(v(g));return}a(),s.push(g)}),n(),a(),r.join("")}class O{constructor(){this.statusIndicator=document.getElementById("statusIndicator"),this.statusText=document.getElementById("statusText"),this.activityProgress=document.getElementById("activityProgress"),this.activityProgressText=document.getElementById("activityProgressText"),this.activityProgressFill=document.getElementById("activityProgressFill"),this.startBtn=document.getElementById("startBtn"),this.stopBtn=document.getElementById("stopBtn"),this.printBtn=document.getElementById("printBtn"),this.audioPlayer=document.getElementById("audioPlayer"),this.widgets={transcript:document.getElementById("transcriptWidget"),incident:document.getElementById("incidentWidget"),prescription:document.getElementById("prescriptionWidget"),lab:document.getElementById("labWidget"),radiology:document.getElementById("radiologyWidget"),treatment:document.getElementById("treatmentWidget"),diet:document.getElementById("dietWidget"),summary:document.getElementById("summaryWidget")}}setStatus(e,t){this.statusIndicator.className=`status-indicator ${e}`,this.statusText.textContent=t}setActivityProgress(e,t){this.activityProgress&&this.activityProgress.classList.remove("hidden"),this.activityProgressFill&&(this.activityProgressFill.style.width=`${Math.max(0,Math.min(100,e))}%`),this.activityProgressText&&(this.activityProgressText.textContent=t)}clearActivityProgress(){this.activityProgress&&this.activityProgress.classList.add("hidden"),this.activityProgressFill&&(this.activityProgressFill.style.width="0%"),this.activityProgressText&&(this.activityProgressText.textContent="")}enableControls(e){this.startBtn.disabled=!e,this.stopBtn.disabled=!0}enableStopButton(e){this.stopBtn.disabled=!e,this.startBtn.disabled=e}enablePrintButton(e){this.printBtn&&(this.printBtn.disabled=!e)}showAudioPlayer(e){if(this.audioPlayer&&e){const t=URL.createObjectURL(e);this.audioPlayer.src=t,this.audioPlayer.style.display="block"}}hideAudioPlayer(){this.audioPlayer&&(this.audioPlayer.pause(),this.audioPlayer.removeAttribute("src"),this.audioPlayer.load(),this.audioPlayer.style.display="none")}updateTranscript(e){this.widgets.transcript&&(this.widgets.transcript.innerHTML=e)}updateDashboard(e){this.setWidgetHTML(this.widgets.incident,e.incident_record||"No incident record available"),this.renderPrescription(e.prescription||[]),this.renderList(this.widgets.lab,e.lab_recommendations||[]),this.renderList(this.widgets.radiology,e.radiology_recommendations||[]),this.setWidgetHTML(this.widgets.treatment,e.treatment_plan||"No treatment plan available"),this.renderList(this.widgets.diet,e.diet_advice||[]),this.setWidgetHTML(this.widgets.summary,e.summary||"No summary available")}setWidgetHTML(e,t){if(!t||t.trim()==="")e.innerHTML='<div class="placeholder">No information available</div>';else{const i=this.formatAsHTML(t);e.innerHTML=i}}formatAsHTML(e){return _(e)}renderPrescription(e){const t=this.widgets.prescription;if(!e||e.length===0){t.innerHTML='<div class="placeholder">No prescriptions prescribed</div>';return}const i=document.createElement("table");i.innerHTML=`
+      <thead>
+        <tr>
+          <th>Drug</th>
+          <th>Dose</th>
+          <th>Frequency</th>
+          <th>Duration</th>
+        </tr>
+      </thead>
+      <tbody>
+        ${e.map(r=>`
+          <tr>
+            <td>${y(r.drug||"")}</td>
+            <td>${y(r.dose||"")}</td>
+            <td>${y(r.frequency||"")}</td>
+            <td>${y(r.duration||"")}</td>
+          </tr>
+        `).join("")}
+      </tbody>
+    `,t.innerHTML="",t.appendChild(i)}renderList(e,t){if(!t||t.length===0){e.innerHTML='<div class="placeholder">None recommended</div>';return}const i=document.createElement("ul");t.forEach(r=>{const s=document.createElement("li");s.innerHTML=v(r),i.appendChild(s)}),e.innerHTML="",e.appendChild(i)}escapeHtml(e){return y(e)}showError(e){alert(`Error: ${e}`)}}const U="medscribe-sessions",W=1,b="sessions";class H{constructor(){this.db=null}async initialize(){return new Promise((e,t)=>{const i=indexedDB.open(U,W);i.onerror=()=>t(i.error),i.onsuccess=()=>{this.db=i.result,e()},i.onupgradeneeded=r=>{const s=r.target.result;s.objectStoreNames.contains(b)||s.createObjectStore(b,{keyPath:"id",autoIncrement:!0}).createIndex("date","date",{unique:!1})}})}async saveSession(e){this.db||await this.initialize();const t={date:new Date().toISOString(),transcript:e.transcript,medicalData:e.medicalData};return new Promise((i,r)=>{const n=this.db.transaction([b],"readwrite").objectStore(b).add(t);n.onsuccess=()=>i(n.result),n.onerror=()=>r(n.error)})}async getAllSessions(){return this.db||await this.initialize(),new Promise((e,t)=>{const s=this.db.transaction([b],"readonly").objectStore(b).getAll();s.onsuccess=()=>e(s.result),s.onerror=()=>t(s.error)})}async deleteSession(e){return this.db||await this.initialize(),new Promise((t,i)=>{const o=this.db.transaction([b],"readwrite").objectStore(b).delete(e);o.onsuccess=()=>t(),o.onerror=()=>i(o.error)})}async clearAll(){return this.db||await this.initialize(),new Promise((e,t)=>{const s=this.db.transaction([b],"readwrite").objectStore(b).clear();s.onsuccess=()=>e(),s.onerror=()=>t(s.error)})}}class j{static printReport(e,t,i={}){const r=window.open("","_blank"),s=new Date().toLocaleDateString();r.document.write(`
+<!DOCTYPE html>
+<html>
+<head>
+  <title>Medical Consultation Report - ${s}</title>
+  <style>
+    * { margin: 0; padding: 0; box-sizing: border-box; }
+    body {
+      font-family: 'Times New Roman', serif;
+      font-size: 12pt;
+      line-height: 1.6;
+      color: #000;
+      max-width: 800px;
+      margin: 0 auto;
+      padding: 40px 20px;
+    }
+    header {
+      text-align: center;
+      border-bottom: 2px solid #000;
+      padding-bottom: 20px;
+      margin-bottom: 30px;
+    }
+    header h1 {
+      font-size: 24pt;
+      margin-bottom: 10px;
+    }
+    header .info {
+      font-size: 11pt;
+      color: #333;
+    }
+    .section {
+      margin-bottom: 25px;
+      page-break-inside: avoid;
+    }
+    .section h2 {
+      font-size: 14pt;
+      border-bottom: 1px solid #ccc;
+      padding-bottom: 5px;
+      margin-bottom: 10px;
+    }
+    .section p, .section li {
+      margin-bottom: 8px;
+    }
+    .section h3, .section h4, .section h5, .transcript-content h3, .transcript-content h4, .transcript-content h5 {
+      font-size: 12pt;
+      margin: 10px 0 8px;
+    }
+    table {
+      width: 100%;
+      border-collapse: collapse;
+      margin: 10px 0;
+    }
+    table th, table td {
+      border: 1px solid #000;
+      padding: 8px;
+      text-align: left;
+    }
+    table th {
+      background: #f0f0f0;
+      font-weight: bold;
+    }
+    ul {
+      margin-left: 20px;
+    }
+    .transcript {
+      page-break-before: always;
+    }
+    .transcript h2 {
+      font-size: 14pt;
+      margin-bottom: 15px;
+    }
+    .transcript-content {
+      font-size: 10pt;
+      line-height: 1.8;
+    }
+    .transcript-content p,
+    .transcript-content li {
+      margin-bottom: 8px;
+    }
+    code {
+      font-family: 'Courier New', monospace;
+      font-size: 0.95em;
+      background: #f2f4f7;
+      padding: 1px 4px;
+      border-radius: 3px;
+    }
+    @media print {
+      body { padding: 0; }
+      .section { page-break-inside: avoid; }
+    }
+  </style>
+</head>
+<body>
+  <header>
+    <h1>Medical Consultation Report</h1>
+    <div class="info">
+      ${i.clinic?`<p><strong>Clinic:</strong> ${this.escapeHtml(i.clinic)}</p>`:""}
+      ${i.name?`<p><strong>Doctor:</strong> ${this.escapeHtml(i.name)}</p>`:""}
+      <p><strong>Date:</strong> ${s}</p>
+    </div>
+  </header>
+
+  ${this.renderSection("Incident Record",e.incident_record)}
+  ${this.renderPrescription(e.prescription)}
+  ${this.renderListSection("Lab Recommendations",e.lab_recommendations)}
+  ${this.renderListSection("Radiology Recommendations",e.radiology_recommendations)}
+  ${this.renderSection("Treatment Plan",e.treatment_plan)}
+  ${this.renderListSection("Diet Advice",e.diet_advice)}
+  ${this.renderSection("Consultation Summary",e.summary)}
+
+  <div class="transcript">
+    <h2>Full Transcript</h2>
+    <div class="transcript-content">${this.escapeHtml(t)}</div>
+  </div>
+
+  <script>
+    window.onload = function() {
+      window.print();
+      window.onafterprint = function() {
+        window.close();
+      };
+    };
+  <\/script>
+</body>
+</html>
+    `),r.document.close()}static renderSection(e,t){return!t||t.trim()===""?"":`
+      <div class="section">
+        <h2>${e}</h2>
+        ${_(t)}
+      </div>
+    `}static renderPrescription(e){return!e||e.length===0?"":`
+      <div class="section">
+        <h2>Prescription</h2>
+        <table>
+          <thead>
+            <tr>
+              <th>Drug</th>
+              <th>Dose</th>
+              <th>Frequency</th>
+              <th>Duration</th>
+            </tr>
+          </thead>
+          <tbody>
+            ${e.map(t=>`
+              <tr>
+                <td>${y(t.drug||"")}</td>
+                <td>${y(t.dose||"")}</td>
+                <td>${y(t.frequency||"")}</td>
+                <td>${y(t.duration||"")}</td>
+              </tr>
+            `).join("")}
+          </tbody>
+        </table>
+      </div>
+    `}static renderListSection(e,t){return!t||t.length===0?"":`
+      <div class="section">
+        <h2>${e}</h2>
+        <ul>
+          ${t.map(i=>`<li>${v(i)}</li>`).join("")}
+        </ul>
+      </div>
+    `}static escapeHtml(e){return y(e)}}const J="LiquidAI/LFM2.5-1.2B-Instruct-ONNX";class G{constructor(){this.ui=new O,this.recorder=new N,this.stt=new B,this.extractor=new F,this.history=new H,this.isRecording=!1,this.audioBlob=null,this.liveTranscript="",this.finalTranscript="",this.currentMedicalData=null,this.extractorInitPromise=null,this.isExtractorReady=!1,this.extractorInitError=null,this.isGeneratingReport=!1,this.loadingOverlay=document.getElementById("loadingOverlay"),this.progressFill=document.getElementById("progressFill"),this.progressText=document.getElementById("progressText"),this.recordingWave=document.getElementById("recordingWave"),this.manualInputSection=document.getElementById("manualInputSection"),this.manualTextInput=document.getElementById("manualTextInput"),this.toggleManualBtn=document.getElementById("toggleManualBtn"),this.clearManualTextBtn=document.getElementById("clearManualTextBtn")}updateProgress(e,t){this.progressFill&&(this.progressFill.style.width=`${e}%`),this.progressText&&(this.progressText.textContent=t)}hideLoadingScreen(){this.loadingOverlay&&this.loadingOverlay.classList.add("hidden")}startExtractorWarmup(){return this.isExtractorReady?Promise.resolve():this.extractorInitPromise?this.extractorInitPromise:(this.extractorInitError=null,this.extractorInitPromise=this.extractor.initialize((e,t)=>{this.updateProgress(70+Math.floor(e*.3),t),this.isGeneratingReport&&(this.ui.setActivityProgress(5+Math.floor(e*.2),t),this.ui.setStatus("processing",t)),this.isRecording||this.ui.setStatus("ready",`Voice capture ready. ${t}`)},J).then(()=>{this.isExtractorReady=!0,this.isRecording||this.ui.setStatus("ready","Ready to start consultation")}).catch(e=>{throw this.extractorInitError=e,this.isRecording||this.ui.setStatus("error",`AI model failed to initialize: ${e.message}`),e}).finally(()=>{this.isExtractorReady||(this.extractorInitPromise=null)}),this.extractorInitPromise)}async ensureExtractorReady(e="Preparing AI model for report generation..."){this.isExtractorReady||(this.ui.setStatus("processing",e),await this.startExtractorWarmup())}async initialize(){this.updateProgress(30,"Initializing Speech Recognition...");try{await this.stt.initialize(),this.updateProgress(65,"Loading session history..."),await this.history.initialize(),this.updateProgress(100,"Voice capture ready. AI model will continue loading in the background."),setTimeout(()=>this.hideLoadingScreen(),500),this.ui.setStatus("ready","Voice capture ready. AI model downloading in background."),this.ui.enableControls(!0),this.startExtractorWarmup().catch(e=>{console.error("Background model initialization error:",e)})}catch(e){console.error("Initialization error:",e),this.updateProgress(0,`Error: ${e.message}`),this.ui.setStatus("error",`Error: ${e.message}`)}}async startConsultation(){try{this.startExtractorWarmup().catch(e=>{console.error("Background model initialization error:",e)}),this.isRecording=!0,this.audioBlob=null,this.liveTranscript="",this.finalTranscript="",this.setManualInputVisible(!1),this.ui.hideAudioPlayer(),this.recordingWave&&this.recordingWave.classList.add("active"),this.ui.setStatus("recording","Recording in progress"),this.ui.enableControls(!1),this.ui.updateTranscript('<div class="placeholder">Listening. Start speaking to capture the consultation transcript.</div>'),await this.recorder.start(),await this.stt.startLiveTranscription(e=>{this.liveTranscript=e,this.ui.updateTranscript(`<div class="transcript-live">${this.formatTranscript(e)}</div>`)}),this.ui.enableStopButton(!0)}catch(e){console.error("Error starting recording:",e),this.ui.setStatus("error",`Error: ${e.message}`),this.isRecording=!1,this.recordingWave&&this.recordingWave.classList.remove("active"),this.ui.enableControls(!0)}}async endConsultation(){try{this.ui.setStatus("processing","Finalizing the session..."),await this.stt.stopLiveTranscription(),this.audioBlob=await this.recorder.stop(),this.isRecording=!1,this.recordingWave&&this.recordingWave.classList.remove("active"),this.finalTranscript=await this.stt.getFinalTranscript(),this.updateManualText(this.finalTranscript,{overwrite:!0}),await this.generateReportFromTranscript(this.finalTranscript,{showAudioPlayer:!0,successMessage:"Report generated successfully"})}catch(e){console.error("Error processing consultation:",e),this.ui.setStatus("error",`Error: ${e.message}`),this.recordingWave&&this.recordingWave.classList.remove("active"),this.ui.enableControls(!0)}}formatTranscript(e){return _(e,{emptyHtml:'<div class="placeholder">No transcript available</div>'})}setManualInputVisible(e){var t;this.manualInputSection&&this.manualInputSection.classList.toggle("active",e),this.toggleManualBtn&&(this.toggleManualBtn.textContent=e?"Hide Manual Entry":"Manual Entry"),e&&(this.updateManualText(this.finalTranscript||this.liveTranscript),(t=this.manualTextInput)==null||t.focus())}updateManualText(e,{overwrite:t=!1}={}){this.manualTextInput&&(t||!this.manualTextInput.value.trim())&&(this.manualTextInput.value=e||"")}async generateReportFromTranscript(e,t={}){const{showAudioPlayer:i=!1,successMessage:r="Report generated successfully"}=t,s=e.trim();let o=!1;this.isGeneratingReport=!0,this.ui.enableControls(!1),this.ui.enablePrintButton(!1),this.ui.setActivityProgress(4,"Preparing report generation...");try{await this.ensureExtractorReady("Preparing AI model for report generation..."),this.ui.setStatus("processing","Extracting medical data..."),this.ui.setActivityProgress(22,"Analyzing transcript..."),this.finalTranscript=s,this.liveTranscript=s,i&&this.audioBlob?this.ui.showAudioPlayer(this.audioBlob):(this.audioBlob=null,this.ui.hideAudioPlayer());const n=await this.extractor.extract(s,(a,c)=>{const d=25+Math.floor(a*.75);this.ui.setActivityProgress(d,c),this.ui.setStatus("processing",c)});this.currentMedicalData=n,this.ui.setActivityProgress(95,"Saving consultation report..."),this.ui.updateTranscript(`<div class="transcript-live">${this.formatTranscript(s)}</div>`),this.ui.updateDashboard(n),await this.history.saveSession({transcript:s,medicalData:n}),this.ui.setActivityProgress(100,"Report ready"),this.ui.setStatus("ready",r),this.ui.enableControls(!0),this.ui.enablePrintButton(!0),o=!0}catch(n){throw this.ui.setActivityProgress(100,"Report generation failed"),n}finally{this.isGeneratingReport=!1,o&&window.setTimeout(()=>this.ui.clearActivityProgress(),800)}}printReport(){if(!this.currentMedicalData){alert("No report to print. Please complete a consultation first.");return}j.printReport(this.currentMedicalData,this.finalTranscript,{})}}const f=new G;document.getElementById("startBtn").addEventListener("click",()=>f.startConsultation());document.getElementById("stopBtn").addEventListener("click",()=>f.endConsultation());var E;(E=document.getElementById("printBtn"))==null||E.addEventListener("click",()=>f.printReport());var M;(M=document.getElementById("toggleManualBtn"))==null||M.addEventListener("click",()=>{var e;const l=(e=f.manualInputSection)==null?void 0:e.classList.contains("active");f.setManualInputVisible(!l)});var k;(k=document.getElementById("processTextBtn"))==null||k.addEventListener("click",async()=>{var e;const l=((e=document.getElementById("manualTextInput"))==null?void 0:e.value)||"";if(!l.trim()){alert("Please enter a consultation transcript first.");return}try{await f.generateReportFromTranscript(l,{successMessage:"Report generated successfully from manual text"})}catch(t){console.error("Error processing text:",t),f.ui.setStatus("error",`Error: ${t.message}`),f.ui.showError(t.message)}});var I;(I=document.getElementById("clearManualTextBtn"))==null||I.addEventListener("click",()=>{f.manualTextInput&&(f.manualTextInput.value="",f.manualTextInput.focus())});f.initialize();

assets/ort-wasm-simd-threaded.jsep-B0T3yYHD.wasm

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c46655e8a94afc45338d4cb2b840475f88e5012d524509916e505079c00bfa39
+size 21596019

index.html

@@ -1,19 +1,813 @@
-<!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>MedScribe - AI Medical Scribe for Doctors</title>
+  <style>
+    * {
+      margin: 0;
+      padding: 0;
+      box-sizing: border-box;
+    }
+
+    :root {
+      --primary: #1d4ed8;
+      --primary-dark: #1e40af;
+      --primary-soft: #dbeafe;
+      --success: #0f766e;
+      --danger: #b42318;
+      --warning: #b54708;
+      --background: #f4f7fb;
+      --surface: #ffffff;
+      --surface-alt: #f8fafc;
+      --surface-strong: #e2e8f0;
+      --text: #0f172a;
+      --text-secondary: #475569;
+      --border: #d7e0ea;
+      --shadow: 0 10px 30px rgb(15 23 42 / 0.06);
+      --shadow-lg: 0 18px 48px rgb(15 23 42 / 0.10);
+    }
+
+    body {
+      font-family: 'IBM Plex Sans', 'Segoe UI', sans-serif;
+      background:
+        radial-gradient(circle at top left, #eff6ff 0, transparent 28%),
+        linear-gradient(180deg, #f8fbff 0%, var(--background) 100%);
+      color: var(--text);
+      line-height: 1.5;
+      min-height: 100vh;
+    }
+
+    /* Loading Screen */
+    .loading-overlay {
+      position: fixed;
+      inset: 0;
+      background: linear-gradient(180deg, #f8fbff 0%, #eef4fb 100%);
+      display: flex;
+      align-items: center;
+      justify-content: center;
+      z-index: 9999;
+      transition: opacity 0.5s ease;
+    }
+
+    .loading-overlay.hidden {
+      opacity: 0;
+      pointer-events: none;
+    }
+
+    .loading-content {
+      text-align: center;
+      color: var(--text);
+      background: rgb(255 255 255 / 0.88);
+      border: 1px solid rgb(215 224 234 / 0.9);
+      border-radius: 24px;
+      box-shadow: var(--shadow-lg);
+      padding: 40px 36px;
+      min-width: min(520px, 90vw);
+      backdrop-filter: blur(12px);
+    }
+
+    .loading-spinner {
+      width: 60px;
+      height: 60px;
+      border: 4px solid rgb(29 78 216 / 0.12);
+      border-top-color: var(--primary);
+      border-radius: 50%;
+      animation: spin 1s linear infinite;
+      margin: 0 auto 24px;
+    }
+
+    @keyframes spin {
+      to { transform: rotate(360deg); }
+    }
+
+    .loading-content h1 {
+      font-size: 2.25rem;
+      font-weight: 700;
+      margin-bottom: 10px;
+      letter-spacing: -0.03em;
+    }
+
+    .loading-content p {
+      font-size: 1rem;
+      color: var(--text-secondary);
+      margin-bottom: 28px;
+    }
+
+    .progress-bar {
+      background: #e6edf7;
+      border-radius: 10px;
+      height: 8px;
+      overflow: hidden;
+      margin-bottom: 16px;
+    }
+
+    .progress-fill {
+      background: linear-gradient(90deg, var(--primary) 0%, #3b82f6 100%);
+      height: 100%;
+      width: 0%;
+      transition: width 0.3s ease;
+      border-radius: 10px;
+    }
+
+    .progress-text {
+      font-size: 0.9rem;
+      color: var(--text-secondary);
+    }
+
+    /* Main Container */
+    .container {
+      max-width: 1320px;
+      margin: 0 auto;
+      padding: 32px 24px 48px;
+    }
+
+    /* Header */
+    .header {
+      padding: 8px 0 28px;
+      margin-bottom: 20px;
+    }
+
+    .header h1 {
+      font-size: clamp(2.4rem, 5vw, 3.2rem);
+      font-weight: 700;
+      color: var(--text);
+      margin-bottom: 10px;
+      letter-spacing: -0.04em;
+    }
+
+    .header p {
+      max-width: 760px;
+      font-size: 1rem;
+      color: var(--text-secondary);
+      margin: 0;
+    }
+
+    /* Status Bar */
+    .status-bar {
+      background: var(--surface);
+      border: 1px solid var(--border);
+      border-radius: 20px;
+      padding: 18px 22px;
+      margin-bottom: 18px;
+      display: flex;
+      align-items: center;
+      gap: 16px;
+      box-shadow: var(--shadow);
+    }
+
+    .status-indicator {
+      width: 12px;
+      height: 12px;
+      border-radius: 50%;
+      background: var(--text-secondary);
+      flex-shrink: 0;
+    }
+
+    .status-indicator.ready { background: var(--success); }
+    .status-indicator.recording {
+      background: var(--danger);
+      animation: pulse 1.5s ease-in-out infinite;
+    }
+    .status-indicator.processing { background: var(--warning); }
+
+    @keyframes pulse {
+      0%, 100% { opacity: 1; transform: scale(1); }
+      50% { opacity: 0.7; transform: scale(1.2); }
+    }
+
+    .status-text {
+      flex: 1;
+      font-size: 0.95rem;
+      font-weight: 500;
+    }
+
+    .activity-progress {
+      background: rgb(255 255 255 / 0.82);
+      border: 1px solid rgb(215 224 234 / 0.9);
+      border-radius: 16px;
+      padding: 14px 18px;
+      margin: -2px 0 18px;
+      box-shadow: var(--shadow);
+      backdrop-filter: blur(10px);
+    }
+
+    .activity-progress.hidden {
+      display: none;
+    }
+
+    .activity-progress-text {
+      font-size: 0.88rem;
+      color: var(--text-secondary);
+      margin-bottom: 10px;
+    }
+
+    .activity-progress .progress-bar {
+      margin-bottom: 0;
+      height: 7px;
+    }
+
+    /* Controls */
+    .controls {
+      display: flex;
+      gap: 12px;
+      justify-content: flex-start;
+      margin-bottom: 22px;
+      flex-wrap: wrap;
+      padding: 18px 20px;
+      background: rgb(255 255 255 / 0.76);
+      border: 1px solid rgb(215 224 234 / 0.9);
+      border-radius: 18px;
+      box-shadow: var(--shadow);
+      backdrop-filter: blur(10px);
+    }
+
+    button {
+      padding: 14px 22px;
+      font-size: 0.95rem;
+      font-weight: 600;
+      border: 1px solid transparent;
+      border-radius: 12px;
+      cursor: pointer;
+      transition: background 0.2s ease, border-color 0.2s ease, color 0.2s ease, box-shadow 0.2s ease;
+      font-family: inherit;
+      box-shadow: none;
+    }
+
+    button:hover:not(:disabled) {
+      transform: none;
+      box-shadow: 0 8px 18px rgb(15 23 42 / 0.08);
+    }
+
+    button:disabled {
+      opacity: 0.45;
+      cursor: not-allowed;
+      box-shadow: none;
+    }
+
+    .btn-primary {
+      background: linear-gradient(180deg, #2563eb 0%, var(--primary) 100%);
+      color: white;
+    }
+
+    .btn-danger {
+      background: #fff5f5;
+      border-color: #fecaca;
+      color: var(--danger);
+    }
+
+    .btn-danger:hover:not(:disabled) {
+      background: #fee2e2;
+    }
+
+    .btn-secondary {
+      background: var(--surface);
+      color: var(--text);
+      border-color: var(--border);
+    }
+
+    .btn-secondary:hover:not(:disabled) {
+      background: var(--surface-alt);
+    }
+
+    .btn-outline {
+      background: var(--primary-soft);
+      color: var(--primary-dark);
+      border-color: #bfdbfe;
+    }
+
+    .btn-outline:hover:not(:disabled) {
+      background: #cfe1ff;
+    }
+
+    .action-note {
+      display: inline-flex;
+      align-items: center;
+      padding: 12px 14px;
+      border-radius: 12px;
+      background: var(--surface-alt);
+      border: 1px solid var(--border);
+      color: var(--text-secondary);
+      font-size: 0.9rem;
+      font-weight: 500;
+    }
+
+    .control-group {
+      display: flex;
+      gap: 12px;
+      flex-wrap: wrap;
+      align-items: center;
+    }
+
+    .panel-label {
+      display: inline-flex;
+      align-items: center;
+      gap: 8px;
+      padding: 8px 12px;
+      border-radius: 999px;
+      background: var(--primary-soft);
+      color: var(--primary-dark);
+      font-size: 0.8rem;
+      font-weight: 700;
+      letter-spacing: 0.04em;
+      text-transform: uppercase;
+      margin-bottom: 14px;
+    }
+
+    .panel-label::before {
+      content: '';
+      width: 8px;
+      height: 8px;
+      border-radius: 999px;
+      background: var(--primary);
+    }
+
+    .intro-card {
+      display: grid;
+      grid-template-columns: minmax(0, 1.8fr) minmax(280px, 0.9fr);
+      gap: 16px;
+      margin-bottom: 18px;
+    }
+
+    .intro-panel,
+    .summary-panel {
+      background: rgb(255 255 255 / 0.82);
+      border: 1px solid rgb(215 224 234 / 0.9);
+      border-radius: 22px;
+      padding: 24px;
+      box-shadow: var(--shadow);
+      backdrop-filter: blur(10px);
+    }
+
+    .intro-panel h2,
+    .summary-panel h2 {
+      font-size: 1.45rem;
+      margin-bottom: 10px;
+      letter-spacing: -0.02em;
+    }
+
+    .intro-panel p,
+    .summary-panel p {
+      color: var(--text-secondary);
+      margin-bottom: 16px;
+    }
+
+    .summary-panel dl {
+      display: grid;
+      gap: 14px;
+    }
+
+    .summary-panel dt {
+      font-size: 0.78rem;
+      color: var(--text-secondary);
+      text-transform: uppercase;
+      letter-spacing: 0.06em;
+      margin-bottom: 4px;
+      font-weight: 700;
+    }
+
+    .summary-panel dd {
+      margin: 0;
+      font-size: 1rem;
+      font-weight: 600;
+      color: var(--text);
+    }
+
+    @media (max-width: 960px) {
+      .intro-card {
+        grid-template-columns: 1fr;
+      }
+    }
+
+    @media (max-width: 640px) {
+      .container {
+        padding: 20px 16px 36px;
+      }
+
+      .controls {
+        padding: 14px;
+      }
+
+      button {
+        width: 100%;
+        justify-content: center;
+      }
+    }
+
+    /* Dashboard */
+    .dashboard {
+      display: grid;
+      grid-template-columns: repeat(2, 1fr);
+      gap: 18px;
+      margin-bottom: 24px;
+    }
+
+    @media (max-width: 1024px) {
+      .dashboard {
+        grid-template-columns: 1fr;
+      }
+    }
+
+    .widget {
+      background: var(--surface);
+      border: 1px solid var(--border);
+      border-radius: 20px;
+      padding: 24px;
+      box-shadow: var(--shadow);
+      transition: border-color 0.2s ease, box-shadow 0.2s ease;
+    }
+
+    .widget.full-width {
+      grid-column: 1 / -1;
+    }
+
+    .widget h3 {
+      font-size: 1.25rem;
+      font-weight: 700;
+      margin-bottom: 12px;
+      color: var(--text);
+      display: flex;
+      align-items: center;
+      gap: 8px;
+      letter-spacing: -0.02em;
+    }
+
+    .widget-header {
+      display: flex;
+      align-items: center;
+      justify-content: space-between;
+      gap: 12px;
+      margin-bottom: 16px;
+    }
+
+    .widget-header h3 {
+      margin-bottom: 0;
+    }
+
+    .btn-small {
+      padding: 10px 14px;
+      font-size: 0.85rem;
+    }
+
+    .manual-input-panel {
+      display: none;
+      margin-top: 18px;
+      padding-top: 18px;
+      border-top: 1px solid var(--border);
+    }
+
+    .manual-input-panel.active {
+      display: block;
+    }
+
+    .manual-input-panel p {
+      margin-bottom: 12px;
+      color: var(--text-secondary);
+    }
+
+    .manual-textarea {
+      width: 100%;
+      min-height: 220px;
+      padding: 16px;
+      background: var(--surface-alt);
+      border: 1px solid var(--border);
+      border-radius: 12px;
+      color: var(--text);
+      font-family: inherit;
+      font-size: 1rem;
+      line-height: 1.6;
+      resize: vertical;
+    }
+
+    .manual-actions {
+      display: flex;
+      gap: 12px;
+      margin-top: 16px;
+      flex-wrap: wrap;
+    }
+
+    .widget h3::before {
+      content: '';
+      width: 4px;
+      height: 24px;
+      background: linear-gradient(180deg, var(--primary) 0%, #60a5fa 100%);
+      border-radius: 2px;
+    }
+
+    .widget-content {
+      color: var(--text-secondary);
+      line-height: 1.7;
+      max-height: 400px;
+      overflow-y: auto;
+    }
+
+    .widget-content p {
+      margin-bottom: 12px;
+    }
+
+    .placeholder {
+      color: var(--text-secondary);
+      font-style: italic;
+      opacity: 0.8;
+    }
+
+    /* Transcript Widget */
+    #transcriptWidget {
+      font-size: 1rem;
+    }
+
+    .transcript-live {
+      animation: fadeIn 0.3s ease;
+    }
+
+    @keyframes fadeIn {
+      from { opacity: 0; transform: translateY(-10px); }
+      to { opacity: 1; transform: translateY(0); }
+    }
+
+    /* Tables */
+    table {
+      width: 100%;
+      border-collapse: collapse;
+      margin-top: 16px;
+      background: var(--surface-alt);
+      border-radius: 14px;
+      overflow: hidden;
+    }
+
+    table th, table td {
+      padding: 14px 16px;
+      text-align: left;
+      border-bottom: 1px solid var(--border);
+    }
+
+    table th {
+      background: #eff6ff;
+      font-weight: 600;
+      color: var(--text);
+      text-transform: uppercase;
+      font-size: 0.78rem;
+      letter-spacing: 0.08em;
+    }
+
+    table tr:last-child td {
+      border-bottom: none;
+    }
+
+    table tbody tr:hover {
+      background: #f8fbff;
+    }
+
+    /* Lists */
+    ul {
+      list-style: none;
+      padding: 0;
+    }
+
+    li {
+      padding: 12px 16px;
+      margin-bottom: 8px;
+      background: var(--surface-alt);
+      border-radius: 10px;
+      border-left: 3px solid #93c5fd;
+      transition: border-color 0.2s ease, background 0.2s ease;
+    }
+
+    li:hover {
+      border-left-color: var(--primary);
+      background: #f8fbff;
+    }
+
+    /* Audio Player */
+    audio {
+      width: 100%;
+      margin-top: 16px;
+      border-radius: 12px;
+      background: var(--surface-alt);
+    }
+
+    /* Recording Animation */
+    .recording-wave {
+      display: none;
+      align-items: center;
+      gap: 4px;
+      height: 40px;
+    }
+
+    .recording-wave.active {
+      display: flex;
+    }
+
+    .wave-bar {
+      width: 4px;
+      height: 100%;
+      background: var(--danger);
+      border-radius: 2px;
+      animation: wave 1.2s ease-in-out infinite;
+    }
+
+    .wave-bar:nth-child(1) { animation-delay: 0s; }
+    .wave-bar:nth-child(2) { animation-delay: 0.1s; }
+    .wave-bar:nth-child(3) { animation-delay: 0.2s; }
+    .wave-bar:nth-child(4) { animation-delay: 0.3s; }
+    .wave-bar:nth-child(5) { animation-delay: 0.4s; }
+
+    @keyframes wave {
+      0%, 100% { height: 20%; }
+      50% { height: 100%; }
+    }
+
+    /* Scrollbar */
+    ::-webkit-scrollbar {
+      width: 8px;
+    }
+
+    ::-webkit-scrollbar-track {
+      background: transparent;
+    }
+
+    ::-webkit-scrollbar-thumb {
+      background: #cbd5e1;
+      border-radius: 4px;
+    }
+
+    ::-webkit-scrollbar-thumb:hover {
+      background: #94a3b8;
+    }
+  </style>
+  <script type="module" crossorigin src="./assets/index-DwF4hvla.js"></script>
+</head>
+<body>
+  <!-- Loading Screen -->
+  <div class="loading-overlay" id="loadingOverlay">
+    <div class="loading-content">
+      <div class="loading-spinner"></div>
+      <h1>MedScribe</h1>
+      <p>Initializing AI-powered medical scribe...</p>
+      <div class="progress-bar">
+        <div class="progress-fill" id="progressFill"></div>
+      </div>
+      <div class="progress-text" id="progressText">Starting...</div>
+    </div>
+  </div>
+
+  <div class="container">
+    <div class="header">
+      <div class="panel-label">Clinical Workspace</div>
+      <h1>MedScribe</h1>
+      <p>Private medical documentation workspace for capturing consultations, generating structured clinical notes, and preparing printable reports.</p>
+    </div>
+
+    <div class="intro-card">
+      <section class="intro-panel">
+        <h2>Focused consultation capture</h2>
+        <p>Record a session or enter the transcript manually. MedScribe structures the note into the sections clinicians actually review: history, prescriptions, orders, treatment plan, and summary.</p>
+        <div class="control-group">
+          <div class="action-note">Runs locally in the browser</div>
+          <div class="action-note">Liquid AI extraction engine</div>
+          <div class="action-note">Printable report output</div>
+        </div>
+      </section>
+      <aside class="summary-panel">
+        <h2>Workflow</h2>
+        <p>Use the session controls below, then review and print the generated note once the transcript has been processed.</p>
+        <dl>
+          <div>
+            <dt>Step 1</dt>
+            <dd>Start a session or open manual entry</dd>
+          </div>
+          <div>
+            <dt>Step 2</dt>
+            <dd>Capture or paste the consultation transcript</dd>
+          </div>
+          <div>
+            <dt>Step 3</dt>
+            <dd>Review the structured report and print when ready</dd>
+          </div>
+        </dl>
+      </aside>
+    </div>
+
+    <div class="status-bar">
+      <div class="status-indicator" id="statusIndicator"></div>
+      <div class="status-text" id="statusText">Initializing...</div>
+      <div class="recording-wave" id="recordingWave">
+        <div class="wave-bar"></div>
+        <div class="wave-bar"></div>
+        <div class="wave-bar"></div>
+        <div class="wave-bar"></div>
+        <div class="wave-bar"></div>
+      </div>
+    </div>
+
+    <div class="activity-progress hidden" id="activityProgress">
+      <div class="activity-progress-text" id="activityProgressText">Preparing report generation...</div>
+      <div class="progress-bar">
+        <div class="progress-fill" id="activityProgressFill"></div>
+      </div>
+    </div>
+
+    <div class="controls">
+      <button class="btn-primary" id="startBtn" disabled>
+        Start Session
+      </button>
+      <button class="btn-danger" id="stopBtn" disabled>
+        Finish and Generate
+      </button>
+      <button class="btn-secondary" id="printBtn" disabled>
+        Print Report
+      </button>
+    </div>
+
+    <div class="dashboard">
+      <div class="widget full-width">
+        <div class="widget-header">
+          <h3>Transcript</h3>
+          <button class="btn-outline btn-small" id="toggleManualBtn" type="button">
+            Manual Entry
+          </button>
+        </div>
+        <div class="widget-content" id="transcriptWidget">
+          <div class="placeholder">The transcript will appear here once a session starts or manual text is submitted.</div>
+        </div>
+        <div class="manual-input-panel" id="manualInputSection">
+          <p>Paste dictated notes or type the consultation transcript directly here, then generate the structured report.</p>
+          <textarea
+            class="manual-textarea"
+            id="manualTextInput"
+            placeholder="Enter or paste consultation transcript here...
+
+Example: Patient complains of headache for 3 days, fever since yesterday. History of present illness includes nausea and photophobia. On examination, patient appears febrile with temperature 38.5°C. BP 130/80 mmHg.
+
+Prescribed: Paracetamol 500mg TID for fever, Ibuprofen 400mg PRN for pain.
+
+Recommended: CBC, fasting blood sugar. Chest X-ray.
+
+Advice: Rest, plenty of fluids, soft diet."
+          ></textarea>
+          <div class="manual-actions">
+            <button class="btn-primary" id="processTextBtn" type="button">
+              Generate Report
+            </button>
+            <button class="btn-secondary btn-small" id="clearManualTextBtn" type="button">
+              Clear Text
+            </button>
+          </div>
+        </div>
+        <audio id="audioPlayer" controls style="display: none;"></audio>
+      </div>
+
+      <div class="widget">
+        <h3>Clinical Note</h3>
+        <div class="widget-content" id="incidentWidget">
+          <div class="placeholder">Structured clinical details will appear after extraction.</div>
+        </div>
+      </div>
+
+      <div class="widget">
+        <h3>Prescription</h3>
+        <div class="widget-content" id="prescriptionWidget">
+          <div class="placeholder">Medication orders will appear after extraction.</div>
+        </div>
+      </div>
+
+      <div class="widget">
+        <h3>Lab Orders</h3>
+        <div class="widget-content" id="labWidget">
+          <div class="placeholder">Laboratory recommendations will appear after extraction.</div>
+        </div>
+      </div>
+
+      <div class="widget">
+        <h3>Imaging Orders</h3>
+        <div class="widget-content" id="radiologyWidget">
+          <div class="placeholder">Imaging recommendations will appear after extraction.</div>
+        </div>
+      </div>
+
+      <div class="widget">
+        <h3>Treatment Plan</h3>
+        <div class="widget-content" id="treatmentWidget">
+          <div class="placeholder">The treatment plan will appear after extraction.</div>
+        </div>
+      </div>
+
+      <div class="widget">
+        <h3>Diet and Lifestyle</h3>
+        <div class="widget-content" id="dietWidget">
+          <div class="placeholder">Dietary and lifestyle advice will appear after extraction.</div>
+        </div>
+      </div>
+
+      <div class="widget full-width">
+        <h3>Clinical Summary</h3>
+        <div class="widget-content" id="summaryWidget">
+          <div class="placeholder">The consultation summary will appear after extraction.</div>
+        </div>
+      </div>
+    </div>
+  </div>
+
+</body>
 </html>