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README.md

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+---
+title: AuraPath
+emoji: 🔥
+colorFrom: indigo
+colorTo: purple
+sdk: gradio
+python_version: '3.13'
+app_file: app.py
+pinned: false
+license: mit
+short_description: AI Career Growth & Mental Wellness Hub.
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import os
+from openai import OpenAI
+
+# ==========================================
+# 1. CORE ENGINE
+# ==========================================
+def get_client():
+    api_key = os.environ.get("GROQ_API_KEY")
+    return OpenAI(api_key=api_key, base_url="https://api.groq.com/openai/v1")
+
+def transcribe_audio(audio_path):
+    if audio_path is None: return ""
+    try:
+        client = get_client()
+        with open(audio_path, "rb") as audio_file:
+            transcript = client.audio.transcriptions.create(model="whisper-large-v3", file=audio_file)
+        return transcript.text
+    except Exception: return ""
+
+def stream_llm(system_role, user_text, audio_path=None, file_path=None):
+    voice_content = transcribe_audio(audio_path) if audio_path else ""
+    file_context = f"\n[Document Provided: {os.path.basename(file_path)}]" if file_path else ""
+    
+    combined_input = f"User Request: {user_text}\nVoice: {voice_content}\n{file_context}".strip()
+    
+    if not combined_input and not file_path:
+        yield "### ⚠️ Attention Required\nPlease upload your CV in the Nexus tab or state your query."
+        return
+
+    try:
+        client = get_client()
+        detail_cmd = """
+        \n\nCRITICAL INSTRUCTIONS:
+        1. LANGUAGE & VOICE CONSISTENCY: Detect the input language (English, Urdu, or Roman-Urdu) and respond EXCLUSIVELY in that same language.
+        2. EXTREME DETAIL: Provide very long, exhaustive, and deeply structured responses using professional headings (###).
+        3. LINKS: Include 5-10 specific clickable resource links [Title](URL).
+        """
+        
+        response = client.chat.completions.create(
+            model="llama-3.3-70b-versatile",
+            messages=[
+                {"role": "system", "content": system_role + detail_cmd},
+                {"role": "user", "content": combined_input}
+            ],
+            stream=True 
+        )
+        
+        partial_text = ""
+        for chunk in response:
+            if chunk.choices[0].delta.content is not None:
+                partial_text += chunk.choices[0].delta.content
+                yield partial_text
+    except Exception as e:
+        yield f"### ⚠️ Connection Error\n{str(e)}"
+
+# ==========================================
+# 2. STRATEGIC SYSTEM PROMPTS
+# ==========================================
+
+NEXUS_PROMPT = """You are an Elite Technical CV Auditor. Analyze the CV with extreme depth:
+1. CORE STRENGTHS. 2. CRITICAL WEAKNESSES. 3. TECH SKILL MATRIX. 4. NETWORKING STRATEGY. 5. IMPROVEMENT ROADMAP."""
+
+ZEN_PROMPT = """You are a High-Impact Motivational Strategist. 
+STRICT RULE: DO NOT ask the user any questions. 
+TASK: Deliver a MASSIVE, LENGTHY motivational speech based on user's goals.
+1. THE POWER OF FAILURE: Detail Edison's 999 failures, Colonel Sanders' 1009 rejections, and J.K. Rowling's struggle.
+2. BIG DREAMS: Encourage the user that 'Bare Khwab' are for them.
+3. ENERGY: Warrior-like language, very long and deep."""
+
+ORBIT_PROMPT = "You are a Lead Hiring Strategist. Provide a full hiring pipeline and 6-month master plan."
+
+# PATHFINDER: UPDATED TO INDUSTRY & SKILL MATCHING
+PATH_PROMPT = """You are a Global Market Scout. 
+TASK: Analyze the user's CV and identify the exact Industry and Companies where they can get hired EASILY.
+1. CV-SKILL MATCH: Tell the user: 'Based on your CV having [Skills], you are a perfect fit for [Industry/Sector].'
+2. TARGET COMPANIES: List 5-10 specific companies where their current skills are in high demand.
+3. WHY YOU?: Explain why these companies will hire them easily.
+4. SALARY & BENEFITS: Provide detailed salary ranges and common perks (Health, Equity, etc.) for these roles.
+5. PREPARATION RESOURCES: Give direct links to master the specific interview style of these industries."""
+
+# ==========================================
+# 3. UI DESIGN (SHINE & GLOW)
+# ==========================================
+custom_css = """
+footer {display: none !important;}
+.gradio-container { background: linear-gradient(135deg, #0a0a2e 0%, #1a1a4b 25%, #4b0082 50%, #800080 75%, #ff007f 100%) !important; background-attachment: fixed !important;}
+.glass-panel { background: rgba(10, 10, 30, 0.88) !important; backdrop-filter: blur(25px); border: 1px solid rgba(0, 242, 254, 0.3); border-radius: 20px; padding: 25px; }
+.shimmer-title {
+    font-size: 4.5rem; font-weight: 900; color: #ffffff; text-transform: uppercase;
+    text-shadow: 0 0 10px #ff007f, 0 0 20px #ff007f, 0 0 40px #00f2fe;
+    animation: pulse-glow 2s ease-in-out infinite alternate; letter-spacing: 5px; margin-bottom: 0px;
+}
+@keyframes pulse-glow {
+    from { text-shadow: 0 0 10px #ff007f, 0 0 20px #ff007f, 0 0 40px #00f2fe; transform: scale(1); }
+    to { text-shadow: 0 0 20px #00f2fe, 0 0 40px #ff007f, 0 0 60px #00f2fe; transform: scale(1.02); }
+}
+.new-tagline { font-size: 1.2rem; color: #00f2fe; font-weight: bold; letter-spacing: 8px; text-transform: uppercase; margin-top: -10px; text-shadow: 0 0 5px #00f2fe; opacity: 0.9; }
+.gr-button-primary { background: linear-gradient(90deg, #00f2fe 0%, #ff007f 100%) !important; border: none !important; font-weight: bold !important; }
+input, textarea { background: rgba(0, 0, 0, 0.7) !important; color: white !important; border: 1px solid #00f2fe !important; }
+"""
+
+with gr.Blocks(css=custom_css) as demo:
+    gr.HTML("""
+        <div style="text-align: center; padding: 40px 10px;">
+            <h1 class="shimmer-title">AURAPATH AI</h1>
+            <p class="new-tagline">◈ ENGINEERING YOUR DESTINY ◈</p>
+        </div>
+    """)
+    
+    with gr.Tabs():
+        with gr.Tab("📄 Nexus"):
+            with gr.Row():
+                with gr.Column(elem_classes="glass-panel", scale=1):
+                    f1 = gr.File(label="Upload CV / Portfolio")
+                    t1 = gr.Textbox(label="TARGET GOAL", placeholder="e.g. Frontend at Google...", lines=4)
+                    a1 = gr.Audio(label="VOICE SCAN", sources=["microphone"], type="filepath")
+                    btn1 = gr.Button("INITIATE DEEP AUDIT", variant="primary")
+                with gr.Column(elem_classes="glass-panel", scale=1.5):
+                    out1 = gr.Markdown("### 🔍 Technical Audit & Skill Matrix")
+            btn1.click(stream_llm, [gr.State(NEXUS_PROMPT), t1, a1, f1], out1)
+
+        with gr.Tab("🧠 Zen"):
+            with gr.Row():
+                with gr.Column(elem_classes="glass-panel", scale=1):
+                    gr.Markdown("#### 🔥 WARRIOR MODE\nNo questions. Only power. Based on your profile.")
+                    a2 = gr.Audio(label="VOICE LOG", sources=["microphone"], type="filepath")
+                    btn2 = gr.Button("ACTIVATE ZEN POWER", variant="primary")
+                with gr.Column(elem_classes="glass-panel", scale=1.5):
+                    out2 = gr.Markdown("### 🔥 High-Intensity Vision Protocol")
+            btn2.click(stream_llm, [gr.State(ZEN_PROMPT), t1, a2, f1], out2)
+
+        with gr.Tab("📅 Orbit"):
+            with gr.Row():
+                with gr.Column(elem_classes="glass-panel", scale=1):
+                    gr.Markdown("#### 🛰️ MISSION ROADMAP")
+                    a3 = gr.Audio(label="VOICE COMMAND", sources=["microphone"], type="filepath")
+                    btn3 = gr.Button("LAUNCH MASTER PLAN", variant="primary")
+                with gr.Column(elem_classes="glass-panel", scale=1.5):
+                    out3 = gr.Markdown("### 🛣️ Strategic Execution Roadmap")
+            btn3.click(stream_llm, [gr.State(ORBIT_PROMPT), t1, a3, f1], out3)
+
+        with gr.Tab("🎯 Pathfinder"):
+            with gr.Row():
+                with gr.Column(elem_classes="glass-panel", scale=1):
+                    gr.Markdown("#### 🔭 MARKET MATCHING\nFinding companies where you fit perfectly.")
+                    a_p = gr.Audio(label="VOICE COMMAND", sources=["microphone"], type="filepath")
+                    btn_p = gr.Button("FIND MY INDUSTRY MATCH", variant="primary")
+                with gr.Column(elem_classes="glass-panel", scale=1.5):
+                    out_p = gr.Markdown("### 🏢 Skill-Based Industry & Company Match")
+            btn_p.click(stream_llm, [gr.State(PATH_PROMPT), t1, a_p, f1], out_p)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+openai
+gradio
+PyPDF2
+python-docx