Spaces:
Running
Running
| import gradio as gr | |
| import os | |
| from openai import OpenAI | |
| # ========================================== | |
| # 1. CORE ENGINE (WITH AUTO-FALLBACK & LANGUAGE LOCK) | |
| # ========================================== | |
| 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 | |
| # LIST OF MODELS TO PREVENT 429 ERRORS[cite: 1, 3] | |
| models_to_try = ["llama-3.3-70b-versatile", "llama-3.1-8b-instant"] | |
| # UNIVERSAL LANGUAGE MIRRORING GUARD[cite: 1] | |
| detail_cmd = """ | |
| \n\nCRITICAL SYSTEM RULES: | |
| 1. STRICT LANGUAGE MATCH: Identify the input language (English, Urdu, or Roman-Urdu) and respond ONLY in that exact language. NO SWITCHING. | |
| 2. HIGH-QUALITY VOICE: Professional, human, and empathetic tone. | |
| 3. EXTREME DETAIL: Structure with bold headings (###). | |
| 4. CLICKABLE RESOURCES: Include 5-10 specific clickable links. | |
| """ | |
| client = get_client() | |
| success = False | |
| for model_name in models_to_try: | |
| try: | |
| response = client.chat.completions.create( | |
| model=model_name, | |
| messages=[ | |
| {"role": "system", "content": system_role + detail_cmd}, | |
| {"role": "user", "content": combined_input} | |
| ], | |
| stream=True, | |
| temperature=0.75 | |
| ) | |
| 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 | |
| success = True | |
| break | |
| except Exception as e: | |
| if "429" in str(e): # Switch to next model if rate limit reached[cite: 3] | |
| continue | |
| else: | |
| yield f"### ⚠️ Connection Error\n{str(e)}" | |
| return | |
| if not success: | |
| yield "### ⚠️ Servers Overloaded\nPlease try again in a few minutes." | |
| # ========================================== | |
| # 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 Master Motivational Strategist. | |
| STRICT LIMITATION: Your ONLY role is to encourage and motivate. Do not perform any other task. | |
| CORE MESSAGE: Remind the user that failure is natural. | |
| MANDATORY EXAMPLES: Always include real-life examples of leaders like Steve Jobs, Elon Musk, and Jack Ma. Respond ONLY in user's input language.""" | |
| ORBIT_PROMPT = """You are a Lead Hiring Strategist. Create a 6-Month Roadmap (Month 1-2: Skill Gaps, Month 3-4: Projects, Month 5: Branding, Month 6: Applications). Respond ONLY in user's input language.""" | |
| # PATHFINDER: STRICT LANGUAGE REINFORCEMENT[cite: 1, 3] | |
| PATH_PROMPT = """You are a Global Market Scout. | |
| STRICT RULE: Detect the user's language and respond EXCLUSIVELY in that language. If the user asks in English, respond in English. If they use Roman-Urdu, respond in Roman-Urdu. | |
| TASK: Identify Industry and Companies where the user fits perfectly based on their skills.""" | |
| # ========================================== | |
| # 3. UI DESIGN (REMAINING STABLE) | |
| # ========================================== | |
| custom_css = """ | |
| footer {display: none !important;} | |
| body { margin: 0; padding: 0; } | |
| .gradio-container { | |
| background: linear-gradient(135deg, #0a0a2e 0%, #1a1a4b 25%, #4b0082 50%, #800080 75%, #ff007f 100%) !important; | |
| background-attachment: fixed !important; | |
| background-size: cover !important; | |
| min-height: 100vh !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; height: fit-content; } | |
| .shimmer-title { | |
| font-size: 4rem; 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: 1.1rem; color: #00f2fe; font-weight: bold; letter-spacing: 8px; text-transform: uppercase; margin-top: -10px; 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: 30px 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. AI Developer...", 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\nPure motivation in your own language.") | |
| 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\nRoadmap strictly matching your input language.") | |
| 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("### 🛣️ 6-Month 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\nIndustry match in your exact language.") | |
| 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() |