Hrf 7

clawedin-openclawjobfindagent/.env.example

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+# HrFlow.ai credentials (get from hackathon organizers)
+HRFLOW_SECRET_KEY=your-hrflow-secret-key
+HRFLOW_API_KEY=your-api-key-here
+HRFLOW_SOURCE_KEY=your-source-key-here

clawedin-openclawjobfindagent/README.md

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+# ClawedIn — AI Job Finding Agent
+
+> Upload your CV. Let AI find your next job.
+
+ClawedIn is an AI-powered job matching agent built for the HrFlow.ai Hackathon. It parses a candidate's CV using HrFlow.ai, generates relevant job roles using OpenClaw (local LLM), searches real job listings via Brave Search, and ranks them by profile match.
+
+---
+
+## What It Does
+
+1. **CV Parsing** — Upload a PDF resume. HrFlow.ai extracts skills, experience, and profile data.
+2. **Job Role Generation** — OpenClaw LLM analyses extracted skills and suggests 10 relevant job titles.
+3. **Job Search** — Brave Search API finds real job listings from LinkedIn, Indeed, Welcome to the Jungle, APEC, Glassdoor, and Talent.io.
+4. **AI Ranking** — OpenClaw ranks the listings by match quality and explains why each job fits the candidate.
+5. **Results Dashboard** — Candidates see ranked jobs with match scores, reasons, and direct apply links.
+
+---
+
+## Architecture
+```
+Streamlit UI (port 8501)
+    ↓ Upload CV
+FastAPI Skill (port 8001)
+    ↓ HrFlow Parsing API → extract skills
+    ↓ Brave Search API → find real job listings
+    ↓ OpenClaw LLM → rank jobs by relevance
+    ↓ return ranked results
+OpenClaw Gateway (port 18789)
+    ↓ qwen3:1.7b via Ollama (local LLM)
+```
+
+---
+
+## HrFlow.ai APIs Used
+
+| API | Purpose |
+|-----|---------|
+| `profile/parsing/add_file` | Parse uploaded CV PDF and extract skills, experience, profile data |
+| `job/searching` | Search indexed job listings |
+| `job/scoring` | Score jobs against candidate profile |
+
+---
+
+## Prerequisites
+
+- Python 3.12+
+- [Ollama](https://ollama.ai) with `qwen3:1.7b` model
+- [OpenClaw](https://openclaw.ai) gateway
+- Brave Search API key (free tier available at [brave.com/search/api](https://brave.com/search/api))
+- HrFlow.ai API credentials
+
+---
+
+## Installation
+
+### 1. Clone the repo
+```bash
+git clone https://github.com/YOUR_USERNAME/app-store-public.git
+cd app-store-public/clawedin
+```
+
+### 2. Install FastAPI dependencies
+```bash
+cd hrflow-skill
+pip install poetry
+poetry install
+```
+
+### 3. Install Streamlit dependencies
+```bash
+cd ../Streamlit
+pip install -r requirements.txt
+```
+
+### 4. Install Ollama and pull model
+```bash
+# Install Ollama from https://ollama.ai
+ollama pull qwen3:1.7b
+```
+
+### 5. Install and configure OpenClaw
+```bash
+npm install -g openclaw
+openclaw configure
+openclaw config set plugins.entries.brave.enabled true
+openclaw config set plugins.entries.brave.config.webSearch.apiKey "YOUR_BRAVE_KEY"
+openclaw config set tools.web.search.provider "brave"
+```
+
+---
+
+## Configuration
+
+Copy `.env.example` to `.env` in the `hrflow-skill` folder:
+```bash
+cp hrflow-skill/.env.example hrflow-skill/.env
+```
+
+Fill in your credentials:
+```env
+HRFLOW_API_KEY=your_hrflow_api_key
+HRFLOW_USER_EMAIL=your_hrflow_email
+HRFLOW_SOURCE_KEY=your_source_key
+HRFLOW_BOARD_KEY=your_board_key
+BRAVE_API_KEY=your_brave_api_key
+GATEWAY_TOKEN=your_openclaw_gateway_token
+```
+
+---
+
+## Running the App
+
+Open 3 terminals:
+
+**Terminal 1 — OpenClaw Gateway**
+```bash
+openclaw gateway --port 18789
+```
+
+**Terminal 2 — FastAPI Skill**
+```bash
+cd hrflow-skill
+poetry run uvicorn main:app --host 0.0.0.0 --port 8001 --reload
+```
+
+**Terminal 3 — Streamlit UI**
+```bash
+cd Streamlit
+streamlit run app.py --server.address 0.0.0.0 --server.port 8501
+```
+
+Open your browser at `http://localhost:8501`
+
+---
+
+## Stack
+
+| Layer | Technology |
+|-------|-----------|
+| Frontend | Streamlit |
+| Backend | FastAPI (Python) |
+| LLM | qwen3:1.7b via Ollama |
+| AI Agent | OpenClaw 2026.3.24 |
+| Job Search | Brave Search API |
+| CV Parsing | HrFlow.ai Parsing API |
+
+---
+
+## Team
+
+**Team 7 — ClawedIn**
+Built at the HrFlow.ai Hackathon 2026.

clawedin-openclawjobfindagent/Streamlit/app.py

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+import streamlit as st
+from core.styles import apply_design_system
+from core.session import init_session
+from modules import auth, upload, engine, dashboard
+from modules import keywords as keywords_module
+from datetime import datetime
+
+st.set_page_config(
+    page_title="ClawedIn",
+    page_icon="🦞",
+    layout="wide",
+    initial_sidebar_state="expanded"
+)
+apply_design_system()
+init_session()
+
+# Sidebar
+with st.sidebar:
+    st.markdown("""
+        <div style="text-align:center;padding:16px 0 8px">
+            <div style="font-size:40px">🤖</div>
+            <div style="font-size:20px;font-weight:700;color:#f1f5f9">ClawedIn</div>
+            <div style="font-size:12px;color:#64748b;margin-top:4px">Powered by OpenClaw + HrFlow</div>
+        </div>
+    """, unsafe_allow_html=True)
+
+    st.divider()
+
+    if st.session_state.logged_in:
+        name = st.session_state.user_data.get("email", "Candidate")
+        st.markdown(f"""
+            <div style="padding:8px 0">
+                <div style="color:#94a3b8;font-size:12px">Logged in as</div>
+                <div style="color:#e2e8f0;font-size:14px;font-weight:500">{name}</div>
+                <div style="color:#64748b;font-size:12px;margin-top:4px">{datetime.now().strftime('%d %b %Y')}</div>
+            </div>
+        """, unsafe_allow_html=True)
+
+        st.divider()
+
+        # Progress tracker
+        step = st.session_state.step
+        steps = ["upload", "keywords", "processing", "results"]
+        step_names = ["Upload CV", "Review Profile", "AI Search", "Results"]
+        current = steps.index(step) if step in steps else 0
+
+        st.markdown("<div style='color:#64748b;font-size:12px;margin-bottom:8px'>PROGRESS</div>", unsafe_allow_html=True)
+        for i, (s, n) in enumerate(zip(steps, step_names)):
+            if i < current:
+                icon = "✅"
+                color = "#16a34a"
+            elif i == current:
+                icon = "▶️"
+                color = "#2563eb"
+            else:
+                icon = "○"
+                color = "#475569"
+            st.markdown(f"<div style='color:{color};font-size:13px;padding:3px 0'>{icon} {n}</div>", unsafe_allow_html=True)
+
+        st.divider()
+
+        if st.button("🔄 New Search", use_container_width=True):
+            st.session_state.step          = "upload"
+            st.session_state.results       = []
+            st.session_state.parsed_cv     = None
+            st.session_state.uploaded_file = None
+            st.session_state.job_roles     = []
+            st.rerun()
+
+        if st.button("Logout", use_container_width=True):
+            st.session_state.logged_in = False
+            st.session_state.step      = "upload"
+            st.rerun()
+    else:
+        st.markdown("<div style='color:#64748b;font-size:13px'>Log in to activate your AI agent.</div>", unsafe_allow_html=True)
+
+# Router
+if not st.session_state.logged_in:
+    auth.render()
+else:
+    step = st.session_state.step
+    if step == "upload":
+        upload.render()
+    elif step == "keywords":
+        keywords_module.render()
+    elif step == "processing":
+        engine.render()
+    elif step == "results":
+        dashboard.render()

clawedin-openclawjobfindagent/Streamlit/core/api.py

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+import requests
+
+FASTAPI_URL   = "http://localhost:8001"
+GATEWAY_URL   = "http://localhost:18789"
+GATEWAY_TOKEN = "ea28e9b03545f00a79e3d3c857e18fb0df7e83dc8f211b75"
+
+
+def health_check():
+    status = {}
+    try:
+        requests.get(f"{FASTAPI_URL}/health", timeout=2)
+        status["fastapi"] = True
+    except:
+        status["fastapi"] = False
+    try:
+        requests.get(GATEWAY_URL, timeout=2)
+        status["openclaw"] = True
+    except:
+        status["openclaw"] = False
+    return status
+
+
+def parse_and_score(file_bytes, filename, location="Paris"):
+    try:
+        resp = requests.post(
+            f"{FASTAPI_URL}/full-pipeline",
+            files={"file": (filename, file_bytes, "application/pdf")},
+            params={"location": location},
+            timeout=180
+        )
+        return resp.json()
+    except Exception as e:
+        return {"error": str(e), "profile": {}, "results": []}