Spaces:

elprofessor15
/

ai-interviewer

Sleeping

App Files Files Community

APPLE commited on Mar 10

Commit

f964ea3

1 Parent(s): 11839ff

initial deploy

Browse files

Files changed (6) hide show

.gitignore +5 -0
Dockerfile +15 -0
public/index.html +2 -2
requirements.txt +10 -16
src/analytics.py +80 -0
src/main.py +3 -3

.gitignore CHANGED Viewed

@@ -1,5 +1,10 @@
 venv/
 __pycache__/
 .env
 *.pyc
 .DS_Store

 venv/
 __pycache__/
 .env
 *.pyc
 .DS_Store

Dockerfile ADDED Viewed

	@@ -0,0 +1,15 @@

+FROM python:3.11-slim
+WORKDIR /app
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+COPY . .
+EXPOSE 7860
+CMD ["uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "7860"]

public/index.html CHANGED Viewed

@@ -3,7 +3,7 @@
 <head>
 <meta charset="UTF-8"/>
 <meta name="viewport" content="width=device-width, initial-scale=1.0"/>
-<title>nofoxAI</title>
 <link href="https://fonts.googleapis.com/css2?family=DM+Sans:wght@300;400;500;600&family=DM+Mono:wght@400;500&display=swap" rel="stylesheet"/>
 <style>
   :root {
@@ -550,7 +550,7 @@
 <nav>
   <div class="nav-logo">
     <div class="dot"></div>
-    nofoxAI : No Fox Given
   </div>
   <div class="nav-pills">
     <div class="nav-pill" id="navMode">—</div>

 <head>
 <meta charset="UTF-8"/>
 <meta name="viewport" content="width=device-width, initial-scale=1.0"/>
+<title>NoFoxAI</title>
 <link href="https://fonts.googleapis.com/css2?family=DM+Sans:wght@300;400;500;600&family=DM+Mono:wght@400;500&display=swap" rel="stylesheet"/>
 <style>
   :root {
 <nav>
   <div class="nav-logo">
     <div class="dot"></div>
+    NoFoxAI : No Fox Given
   </div>
   <div class="nav-pills">
     <div class="nav-pill" id="navMode">—</div>

requirements.txt CHANGED Viewed

@@ -1,16 +1,10 @@
-streamlit==1.31.0
-faster-whisper==1.0.0
-langchain==0.1.10
-langchain-community==0.0.24
-langchain-huggingface==0.0.1
-langgraph==0.0.30
-chromadb==0.4.22
-sentence-transformers==2.3.1
-sounddevice==0.4.6
-soundfile==0.12.1
-numpy==1.26.3
-pydub==0.25.1
-requests==2.31.0
-pyyaml==6.0.1
-pyaudio==0.2.14
-pyttsx3==2.90

+httpx
+EOF
+groq
+fastapi
+uvicorn
+python-multipart
+python-dotenv
+python-docx
+chromadb
+sentence-transformers

src/analytics.py ADDED Viewed

	@@ -0,0 +1,80 @@

+import json
+import os
+from groq import Groq
+from dotenv import load_dotenv
+load_dotenv()
+client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
+def analyze_interview(session: dict) -> dict:
+    messages = session.get("messages", [])
+    mode = session.get("mode", "general")
+    company = session.get("company", "")
+    role = session.get("role", "SDE")
+    # Build transcript
+    transcript = ""
+    for m in messages:
+        if m["role"] == "user":
+            transcript += f"CANDIDATE: {m['content']}\n\n"
+        elif m["role"] == "assistant":
+            transcript += f"INTERVIEWER: {m['content']}\n\n"
+    if not transcript.strip():
+        return {}
+    prompt = f"""You are an expert interview coach analyzing a {mode} interview for a {role} role{' at ' + company.capitalize() if company else ''}.
+Here is the full interview transcript:
+---
+{transcript[:6000]}
+---
+Analyze this interview and return a JSON object with EXACTLY this structure (no extra text, just valid JSON):
+{{
+  "overall_score": <number 0-100>,
+  "summary": "<2-3 sentence honest overall assessment>",
+  "strong_points": [
+    {{"title": "<strength title>", "detail": "<specific example from interview>"}},
+    {{"title": "<strength title>", "detail": "<specific example from interview>"}},
+    {{"title": "<strength title>", "detail": "<specific example from interview>"}}
+  ],
+  "pain_points": [
+    {{"title": "<weakness title>", "detail": "<specific example and why it matters>"}},
+    {{"title": "<weakness title>", "detail": "<specific example and why it matters>"}},
+    {{"title": "<weakness title>", "detail": "<specific example and why it matters>"}}
+  ],
+  "areas_of_improvement": [
+    {{"title": "<area>", "action": "<specific actionable advice>"}},
+    {{"title": "<area>", "action": "<specific actionable advice>"}},
+    {{"title": "<area>", "action": "<specific actionable advice>"}}
+  ],
+  "skill_scores": {{
+    "technical": <0-100>,
+    "communication": <0-100>,
+    "problem_solving": <0-100>,
+    "confidence": <0-100>,
+    "cultural_fit": <0-100>
+  }},
+  "hiring_verdict": "<Strong Hire | Hire | Maybe | No Hire>",
+  "verdict_reason": "<one sentence explanation>"
+}}"""
+    response = client.chat.completions.create(
+        model="llama-3.3-70b-versatile",
+        messages=[{"role": "user", "content": prompt}],
+        max_tokens=1500
+    )
+    raw = response.choices[0].message.content.strip()
+    # Strip markdown if present
+    if raw.startswith("```"):
+        raw = raw.split("```")[1]
+        if raw.startswith("json"):
+            raw = raw[4:]
+    raw = raw.strip()
+    try:
+        return json.loads(raw)
+    except Exception:
+        return {"error": "Could not parse analysis", "raw": raw}

src/main.py CHANGED Viewed

@@ -110,7 +110,7 @@ def build_company_prompt(company: str, role: str, context: str) -> str:
 Structure this interview EXACTLY as follows:
 PHASE 1 - INTRODUCTION & RESUME (exchanges 1-3):
-- Warmly greet the candidate as a {company} interviewer would
 - Ask them to introduce themselves
 - Ask resume-based questions specific to {role} at {company}: past projects, tech stack, scale of systems built
 - Ask why they want to join {company} specifically — probe for genuine motivation
@@ -147,7 +147,7 @@ async def start_interview(request: Request):
     check_rate_limit(request.client.host)
     body = await request.json()
     mode = body.get("mode", "behavioral")
-    company = body.get("company", "").lower()
     role = body.get("role", "SDE")
     session_id = str(time.time())
@@ -299,4 +299,4 @@ async def synthesize_speech(request: Request):
 async def serve_index():
     return FileResponse("public/index.html")
-app.mount("/", StaticFiles(directory="public"), name="static")

 Structure this interview EXACTLY as follows:
 PHASE 1 - INTRODUCTION & RESUME (exchanges 1-3):
+- Warmly greet the candidate as a {company} interviewer. Introduce yourself as "Rohan" — a senior {role} interviewer at {company}. Sound human and natural, not robotic.
 - Ask them to introduce themselves
 - Ask resume-based questions specific to {role} at {company}: past projects, tech stack, scale of systems built
 - Ask why they want to join {company} specifically — probe for genuine motivation
     check_rate_limit(request.client.host)
     body = await request.json()
     mode = body.get("mode", "behavioral")
+    company = (body.get("company") or "").lower()
     role = body.get("role", "SDE")
     session_id = str(time.time())
 async def serve_index():
     return FileResponse("public/index.html")
+app.mount("/", StaticFiles(directory="public"), name="static")