Update app.py

app.py

@@ -5,7 +5,7 @@ import PyPDF2
 import docx
 
 # ==========================================
-# 1. CORE ENGINE (MAX SPEED & LANG ACCURACY)
+# 1. CORE ENGINE (SPEED & LANGUAGE GUARD)
 # ==========================================
 def get_client():
     api_key = os.environ.get("GROQ_API_KEY")
@@ -27,7 +27,7 @@ def extract_text(file_path):
         else:
             with open(file_path, "r", encoding="utf-8", errors="ignore") as f:
                 text = f.read()
-    except Exception: return "Error."
+    except Exception: return "Error reading file."
     return text
 
 def transcribe_audio(audio_path):
@@ -44,27 +44,24 @@ def stream_llm(system_role, user_text, audio_path=None, file_path=None):
     file_context = ""
     if file_path:
         content = extract_text(file_path)
-        # CV SIZE INCREASED TO 100K CHARACTERS
-        file_context = f"\n[CV Data]:\n{content[:100000]}" 
+        file_context = f"\n[CV Content]:\n{content[:50000]}"
 
-    combined_input = f"User Input: {user_text}\nVoice: {voice_content}\n{file_context}".strip()
+    # Language Guard: Ensuring AI mirrors the user's language choice
+    combined_input = f"Strict Rule: Respond in the EXACT same language as the user input.\nUser Text: {user_text}\nVoice: {voice_content}\n{file_context}".strip()
     
-    # Priority: Fastest Engines
+    # Using Llama 3.3 for high accuracy and Llama 3.1 8b for lightning speed
     models = ["llama-3.3-70b-versatile", "llama-3.1-8b-instant"]
     
     success = False
     for model_name in models:
         try:
             client = get_client()
-            # LANGUAGE LOCKDOWN & INSTANT RESPONSE COMMANDS
-            detail_cmd = "\n\nCRITICAL: 1. You MUST respond in the EXACT language used by the user. If input is Roman-Urdu, respond ONLY in Roman-Urdu. 2. START STREAMING INSTANTLY. 3. Be extremely long and detailed."
-            
             response = client.chat.completions.create(
                 model=model_name,
-                messages=[{"role": "system", "content": system_role + detail_cmd}, {"role": "user", "content": combined_input}],
+                messages=[{"role": "system", "content": system_role}, {"role": "user", "content": combined_input}],
                 stream=True,
-                temperature=0.35, # Extra precision & speed
-                max_tokens=4096
+                temperature=0.5,
+                max_tokens=4000
             )
             
             partial_text = ""
@@ -77,71 +74,72 @@ def stream_llm(system_role, user_text, audio_path=None, file_path=None):
         except Exception: continue
 
     if not success:
-        yield "### ⚠️ Engine Refreshing... Please wait 30 seconds."
+        yield "### ⚠️ Re-connecting... Please click the button again."
 
 # ==========================================
-# 2. PROMPTS (100% LOGIC FOLLOWED)
+# 2. PROMPTS (FIXED LOGIC FOR ORBIT & PATH)
 # ==========================================
-NEXUS_PROMPT = "Audit Bot: Define Dream Job/Company -> List Benefits -> Analyze CV Info -> Provide Strengths, Weaknesses, and Skill Matrix. Use user's language."
-ZEN_PROMPT = "Motivation Bot: Pure encouragement. Examples: Jack Ma, Steve Jobs, failures to success. Persuade user to keep working hard in their own language."
-ORBIT_PROMPT = "Architect Bot: Define Job -> Salary/Benefits -> 6-Month Roadmap (1-2, 3-4, 5-6 months) with clickable links and resources. Use user's language."
-PATH_PROMPT = "Scout Bot: CV-based matching. List 5-10 suitable Companies/Industries. Provide direct Career Links and Apply Strategy. Use user's language."
+NEXUS_PROMPT = "Nexus Bot: 1. Define Dream Company/Job & Benefits. 2. Summary of User's CV. 3. Strengths, Weaknesses, and Skill Matrix based on CV."
+ZEN_PROMPT = "Zen Bot: Purely motivate the user. Use success stories of Jack Ma/Steve Jobs. Tell them to keep working hard. No other tasks."
+ORBIT_PROMPT = "Orbit Bot: 1. Define Dream Job/Company & Benefits/Salary. 2. 6-Month Roadmap (1-2, 3-4, 5-6) with clickable links to resources to fix weaknesses."
+PATH_PROMPT = "Pathfinder Bot: 1. Identify 5-10 Companies/Industries suitable for the user's specific CV. 2. Provide direct Career Links and Apply Strategy."
 
 # ==========================================
-# 3. UI DESIGN (ARMORED DARK THEME)
+# 3. UI DESIGN (ORIGINAL BACKGROUND RESTORED)
 # ==========================================
 custom_css = """
 footer {display: none !important;}
-.gradio-container { background: #050510 !important; }
-.glass-panel { background: rgba(15, 15, 35, 0.95) !important; backdrop-filter: blur(15px); border: 2px solid #ff007f; border-radius: 20px; padding: 25px; color: #ffffff !important; }
-/* TEXT VISIBILITY IN DARK MODE */
-.markdown-text, .prose, p, h1, h2, h3, span, label { color: #ffffff !important; text-shadow: 0px 0px 1px rgba(0,0,0,1); font-weight: 500; }
-.shimmer-title { font-size: 3.5rem; font-weight: 900; color: #ffffff; text-shadow: 0 0 25px #ff007f, 0 0 50px #00f2fe; text-align: center; margin-bottom: 5px; }
-.new-tagline { font-size: 1rem; color: #00f2fe; text-align: center; letter-spacing: 6px; margin-bottom: 25px; font-weight: bold; }
-input, textarea { background: #101030 !important; color: #ffffff !important; border: 2px solid #00f2fe !important; font-size: 1.1rem !important; }
-.gr-button-primary { background: linear-gradient(90deg, #ff007f, #800080) !important; border: none !important; font-size: 1.1rem !important; font-weight: bold !important; cursor: pointer; }
-.gr-tabs { border-bottom: 2px solid #ff007f !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, 0.85) !important; backdrop-filter: blur(20px); border: 2px solid #ff007f; border-radius: 20px; padding: 25px; color: white !important; }
+.shimmer-title { font-size: 3.5rem; font-weight: 900; color: white; text-shadow: 0 0 20px #ff007f; text-align: center; margin-bottom: 0px; }
+.new-tagline { font-size: 1rem; color: #00f2fe; text-align: center; letter-spacing: 5px; margin-bottom: 20px; }
+input, textarea { background: #1a1a4b !important; color: white !important; border: 1px solid #ff007f !important; }
+.gr-button-primary { background: linear-gradient(90deg, #ff007f, #800080) !important; border: none !important; }
 """
 
 with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
-    gr.HTML("<h1 class='shimmer-title'>AURAPATH AI</h1><p class='new-tagline'>◈ ENGINEERING YOUR DESTINY ◈</p>")
+    gr.HTML("<h1 class='shimmer-title'>AURAPATH AI</h1><p class='new-tagline'>ENGINEERING YOUR DESTINY</p>")
+    
+    # State management for input persistence across tabs
+    target_goal = gr.State("")
+
     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 (Large Size Supported)")
-                    t1 = gr.Textbox(label="TARGET GOAL", placeholder="e.g. Google SDE, Data Analyst...", lines=3)
-                    a1 = gr.Audio(label="VOICE SCAN", sources=["microphone"], type="filepath")
+                    f1 = gr.File(label="Upload CV")
+                    t1 = gr.Textbox(label="Target Goal (Company/Job)", lines=3)
+                    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 & Analysis")
+                    out1 = gr.Markdown("### Technical Audit Results")
             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):
-                    a2 = gr.Audio(label="VOICE LOG", sources=["microphone"], type="filepath")
+                    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 Motivation")
+                    out2 = gr.Markdown("### 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):
-                    a3 = gr.Audio(label="VOICE COMMAND", sources=["microphone"], type="filepath")
+                    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 Roadmap & Resources")
+                    out3 = gr.Markdown("### Strategic 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):
-                    a_p = gr.Audio(label="VOICE COMMAND", sources=["microphone"], type="filepath")
+                    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("### 🏢 Industry & Company Scout")
+                    out_p = gr.Markdown("### Company & Industry Scout")
             btn_p.click(stream_llm, [gr.State(PATH_PROMPT), t1, a_p, f1], out_p)
 
 if __name__ == "__main__":