Delete app.py

app.py

@@ -1,127 +0,0 @@
-import gradio as gr
-import os
-from openai import OpenAI
-import PyPDF2
-from docx import Document
-
-# ==========================================
-# 1. CORE ENGINE (UPDATED)
-# ==========================================
-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 extract_text(file_path):
-    if not file_path: return ""
-    text = ""
-    try:
-        if file_path.endswith('.pdf'):
-            with open(file_path, 'rb') as f:
-                reader = PyPDF2.PdfReader(f)
-                for page in reader.pages:
-                    content = page.extract_text()
-                    if content: text += content + "\n"
-        elif file_path.endswith('.docx'):
-            doc = Document(file_path)
-            for para in doc.paragraphs: text += para.text + "\n"
-    except: return "Error reading file."
-    return text
-
-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: return ""
-
-def stream_llm(system_role, user_text, audio_path, file_path):
-    voice_content = transcribe_audio(audio_path)
-    file_content = extract_text(file_path)
-    
-    combined_input = f"User Request: {user_text}\nVoice Input: {voice_content}\nDocument Content: {file_content}"
-    
-    # SYSTEM RULES UPDATED FOR LANGUAGE AND LINKS
-    system_rules = f"""
-    {system_role}
-    CRITICAL RULES:
-    1. LANGUAGE: You MUST identify the language of the user input and respond EXCLUSIVELY in that same language.
-    2. LINKS: Provide 5-10 active, clickable links to relevant resources, companies, or guides.
-    3. STRUCTURE: Use bold headings (###) for clarity.
-    """
-
-    client = get_client()
-    models_to_try = ["llama-3.3-70b-versatile", "llama-3.1-8b-instant"]
-    
-    for model_name in models_to_try:
-        try:
-            response = client.chat.completions.create(
-                model=model_name,
-                messages=[{"role": "system", "content": system_rules}, {"role": "user", "content": combined_input}],
-                stream=True, temperature=0.7
-            )
-            for chunk in response:
-                if chunk.choices[0].delta.content:
-                    yield chunk.choices[0].delta.content
-            return
-        except: continue
-    yield "### ⚠️ Error\nService busy. Please try again."
-
-# ==========================================
-# 2. PROMPTS (UPDATED)
-# ==========================================
-NEXUS_PROMPT = "You are a Technical CV Auditor. Analyze the CV (up to 6 pages) thoroughly for strengths/weaknesses and provide a skill matrix with clickable learning links."
-ZEN_PROMPT = "You are a Motivational Strategist. Provide 7 distinct, detailed stories of famous leaders (e.g., Steve Jobs, Elon Musk, Jack Ma, Oprah, etc.) who failed significantly before finding massive success. Focus on the 'failure-to-success' journey. Use user's language."
-ORBIT_PROMPT = "You are a Career Strategist. Create a detailed 6-month step-by-step roadmap for the user's career goal. Include specific tasks, learning milestones, and provide 10 clickable links for resources per month."
-PATH_PROMPT = "You are a Hiring Expert. Analyze the user's CV, identify perfectly matching companies, and provide a step-by-step guide on how to apply (with career page links)."
-
-# ==========================================
-# 3. UI (PRESERVED AS PER YOUR ORIGINAL CODE)
-# ==========================================
-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; 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; }
-.shimmer-title { font-size: 4rem; font-weight: 900; color: #ffffff; text-shadow: 0 0 10px #ff007f, 0 0 40px #00f2fe; }
-.new-tagline { font-size: 1.1rem; color: #00f2fe; font-weight: bold; }
-.gr-button-primary { background: linear-gradient(90deg, #00f2fe 0%, #ff007f 100%) !important; }
-"""
-
-with gr.Blocks(css=custom_css) as demo:
-    gr.HTML("<div style='text-align: center;'><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.Column(elem_classes="glass-panel"):
-                f1 = gr.File(label="Upload CV (Accepts 5-6 pages)")
-                t1 = gr.Textbox(label="TARGET GOAL")
-                a1 = gr.Audio(label="VOICE SCAN", type="filepath")
-                btn1 = gr.Button("INITIATE DEEP AUDIT", variant="primary")
-                out1 = gr.Markdown()
-            btn1.click(stream_llm, [gr.State(NEXUS_PROMPT), t1, a1, f1], out1)
-
-        with gr.Tab("🧠 Zen"):
-            with gr.Column(elem_classes="glass-panel"):
-                a2 = gr.Audio(label="VOICE LOG", type="filepath")
-                btn2 = gr.Button("ACTIVATE ZEN POWER", variant="primary")
-                out2 = gr.Markdown()
-            btn2.click(stream_llm, [gr.State(ZEN_PROMPT), t1, a2, f1], out2)
-
-        with gr.Tab("📅 Orbit"):
-            with gr.Column(elem_classes="glass-panel"):
-                a3 = gr.Audio(label="VOICE COMMAND", type="filepath")
-                btn3 = gr.Button("LAUNCH MASTER PLAN", variant="primary")
-                out3 = gr.Markdown()
-            btn3.click(stream_llm, [gr.State(ORBIT_PROMPT), t1, a3, f1], out3)
-
-        with gr.Tab("🎯 Pathfinder"):
-            with gr.Column(elem_classes="glass-panel"):
-                a_p = gr.Audio(label="VOICE COMMAND", type="filepath")
-                btn_p = gr.Button("FIND MY INDUSTRY MATCH", variant="primary")
-                out_p = gr.Markdown()
-            btn_p.click(stream_llm, [gr.State(PATH_PROMPT), t1, a_p, f1], out_p)
-
-if __name__ == "__main__":
-    demo.launch()