Update app.py

app.py

@@ -11,7 +11,6 @@ from sentinelhub import SHConfig
 from groq import Groq
 import google.generativeai as genai
 import tempfile
-from elevenlabs.client import ElevenLabs
 
 # -------------------- ENVIRONMENT VARIABLES --------------------
 HF_API_KEY = os.getenv("HF_API_KEY")
@@ -19,22 +18,14 @@ GROQ_API_KEY = os.getenv("GROQ_API_KEY")
 GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
 SENTINEL_CLIENT_ID = os.getenv("SENTINEL_CLIENT_ID")
 SENTINEL_CLIENT_SECRET = os.getenv("SENTINEL_CLIENT_SECRET")
-ELEVENLABS_API_KEY = os.getenv("ELEVENLABS_API_KEY")
+# We fetch ELEVENLABS_KEY inside the function now to ensure it loads
 
-# -------------------- SENTINEL CONFIG --------------------
+# -------------------- CLIENT SETUP --------------------
 config = SHConfig()
 if SENTINEL_CLIENT_ID and SENTINEL_CLIENT_SECRET:
     config.client_id = SENTINEL_CLIENT_ID
     config.client_secret = SENTINEL_CLIENT_SECRET
 
-# -------------------- ELEVENLABS SETUP --------------------
-el_client = None
-if ELEVENLABS_API_KEY:
-    try:
-        el_client = ElevenLabs(api_key=ELEVENLABS_API_KEY)
-    except:
-        pass
-
 # -------------------- AI FUNCTIONS --------------------
 def gemini_summary(text):
     try:
@@ -88,31 +79,50 @@ def smart_summary(text):
         errors.append(f"HF: {err}")
     return "⚠ SYSTEM FAILURE. DEBUG LOG:\n" + "\n".join(errors)
 
-# -------------------- AUDIO FUNCTION --------------------
+# -------------------- AUDIO FUNCTION (ROBUST VERSION) --------------------
 def generate_audio_report(text):
-    """Safely generates audio. Returns None on failure instead of crashing."""
+    """
+    Connects to ElevenLabs *inside* the function to avoid startup errors.
+    Shows a RED ERROR popup if something fails.
+    """
+    # 1. Check for Library
+    try:
+        from elevenlabs.client import ElevenLabs
+    except ImportError:
+        raise gr.Error("❌ Library Missing! Add 'elevenlabs' to requirements.txt")
+
+    # 2. Check for Text
     if not text:
-        return None
-    
-    # If client isn't ready (missing key), exit safely
-    if not el_client:
-        return None
+        raise gr.Error("❌ No text! Generate the report first.")
 
+    # 3. Check for Key
+    api_key = os.getenv("ELEVENLABS_API_KEY")
+    if not api_key:
+        raise gr.Error("❌ API Key Missing! Check Settings > Secrets.")
+
+    # 4. Try to Generate
     try:
-        # Generate audio (limit length to save credits/speed up)
-        audio_stream = el_client.generate(
-            text=text[:500], 
+        client = ElevenLabs(api_key=api_key)
+        
+        audio_stream = client.generate(
+            text=text[:400], # Limit to 400 chars to be safe/fast
             voice="Brian",
             model="eleven_multilingual_v2"
         )
         
-        # Save to a temporary file
         with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as f:
             for chunk in audio_stream:
                 f.write(chunk)
             return f.name
-    except:
-        return None
+
+    except Exception as e:
+        error_msg = str(e)
+        if "401" in error_msg:
+            raise gr.Error("❌ 401 Unauthorized: The API Key is wrong. Check for spaces!")
+        elif "quota" in error_msg.lower():
+            raise gr.Error("❌ Quota Exceeded: You ran out of free credits.")
+        else:
+            raise gr.Error(f"❌ ElevenLabs Error: {error_msg}")
 
 # -------------------- MATH & LOGIC --------------------
 def calculate_wqi(pH, do, nutrients):
@@ -152,28 +162,19 @@ def create_plots(wqi, hsi, erosion, turbidity):
     return fig
 
 def generate_graph_insights(wqi, hsi, erosion, turbidity):
-    """Generates a text explanation for the graph"""
     text = "### 📉 Graph Analysis\n\n"
-    # WQI (Blue)
-    if wqi > 70: text += f"🔵 **Water Quality (Blue):** {wqi}/100. Excellent condition, safe for ecosystem.\n\n"
-    elif wqi > 40: text += f"🔵 **Water Quality (Blue):** {wqi}/100. Moderate pollution detected.\n\n"
-    else: text += f"🔵 **Water Quality (Blue):** {wqi}/100. **CRITICAL**. High pollution levels.\n\n"
-    # HSI (Cyan)
-    if hsi > 70: text += f"🟢 **Habitat (Cyan):** {hsi}/100. Great environment for fish and plants.\n\n"
-    else: text += f"🟢 **Habitat (Cyan):** {hsi}/100. Poor conditions for biodiversity.\n\n"
-    # Erosion (Red)
-    if erosion > 50: text += f"🔴 **Erosion Risk (Red):** {erosion}/100. **HIGH RISK**. Banks are unstable.\n\n"
-    else: text += f"🔴 **Erosion Risk (Red):** {erosion}/100. Stable river banks.\n\n"
-    # Turbidity (Orange)
-    if turbidity > 50: text += f"🟠 **Turbidity (Orange):** {turbidity}/100. Water is very cloudy/muddy.\n"
-    else: text += f"🟠 **Turbidity (Orange):** {turbidity}/100. Water is clear.\n"
+    if wqi > 70: text += f"🔵 **Water Quality:** {wqi}/100. Excellent condition.\n\n"
+    elif wqi > 40: text += f"🔵 **Water Quality:** {wqi}/100. Moderate pollution.\n\n"
+    else: text += f"🔵 **Water Quality:** {wqi}/100. **CRITICAL**.\n\n"
+    
+    if hsi > 70: text += f"🟢 **Habitat:** {hsi}/100. Good biodiversity.\n\n"
+    else: text += f"🟢 **Habitat:** {hsi}/100. Poor conditions.\n\n"
     return text
 
 # -------------------- PDF ENGINE --------------------
 def generate_pdf(wqi, hsi, erosion, turbidity, summary_text):
     pdf = FPDF()
     pdf.add_page()
-    # QR CODE
     qr = qrcode.QRCode(box_size=3)
     qr.add_data("FlumenIntel Report Verified")
     qr.make(fit=True)
@@ -181,35 +182,14 @@ def generate_pdf(wqi, hsi, erosion, turbidity, summary_text):
     with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as tmp:
         img.save(tmp.name)
         pdf.image(tmp.name, x=165, y=10, w=30)
-    # HEADER
     pdf.set_y(15)
     pdf.set_font("Arial", "B", 24)
     pdf.set_text_color(0, 97, 255)
     pdf.cell(0, 10, "FlumenIntel", ln=True, align='L')
-    pdf.set_font("Arial", "I", 12)
-    pdf.set_text_color(100, 100, 100)
-    pdf.cell(0, 10, "River Health Assessment", ln=True, align='L')
     pdf.ln(10)
-    # METRICS TABLE
-    pdf.set_font("Arial", "B", 14)
-    pdf.set_text_color(0, 0, 0)
-    pdf.cell(0, 10, "1. Key Environmental Metrics", ln=True)
     pdf.set_font("Arial", "", 12)
-    pdf.cell(50, 10, f"Water Quality (WQI):", border=1)
-    pdf.cell(50, 10, f"{wqi}/100", border=1, ln=1)
-    pdf.cell(50, 10, f"Habitat Score (HSI):", border=1)
-    pdf.cell(50, 10, f"{hsi}/100", border=1, ln=1)
-    pdf.cell(50, 10, f"Erosion Risk:", border=1)
-    pdf.cell(50, 10, f"{erosion}/100", border=1, ln=1)
-    pdf.cell(50, 10, f"Turbidity:", border=1)
-    pdf.cell(50, 10, f"{turbidity}/100", border=1, ln=1)
-    pdf.ln(10)
-    # SUMMARY
-    pdf.set_font("Arial", "B", 14)
-    pdf.cell(0, 10, "2. Scientist's Analysis", ln=True)
-    pdf.set_font("Arial", "", 11)
-    clean_summary = summary_text.encode('latin-1', 'replace').decode('latin-1')
-    pdf.multi_cell(0, 6, clean_summary)
+    pdf.set_text_color(0, 0, 0)
+    pdf.multi_cell(0, 6, summary_text.encode('latin-1', 'replace').decode('latin-1'))
     try:
         return pdf.output(dest='S').encode('latin-1')
     except:
@@ -227,25 +207,12 @@ def process_data(flow_rate, water_temp, sediment, construction, pH, do, nutrient
         
         prompt = f"""
         ROLE: Senior Environmental Scientist.
-        TASK: Write a formal "River Health Assessment Report".
-        DATA:
-        - WQI: {wqi} (Potability: {potability})
-        - HSI: {hsi}
-        - Erosion: {erosion}
-        - Turbidity: {turbidity}
-        
-        REQUIREMENTS:
-        - Tone: Professional, Objective, Scientific.
-        - No Markdown symbols (like ** or ##). Use plain text formatting.
-        - Structure:
-          1. EXECUTIVE SUMMARY: High-level status.
-          2. BIOLOGICAL IMPACT: Effect on local aquatic life.
-          3. MITIGATION PLAN: 3 specific, actionable steps.
-          4. FORECAST: Predicted outcome if untreated.
+        TASK: Write a formal River Health Report.
+        DATA: WQI: {wqi}, HSI: {hsi}, Erosion: {erosion}, Turbidity: {turbidity}.
+        REQUIREMENTS: Professional tone. 3 paragraphs max.
         """
         
         summary = smart_summary(prompt)
-        
         fig = create_plots(wqi, hsi, erosion, turbidity)
         graph_text = generate_graph_insights(wqi, hsi, erosion, turbidity)
         pdf_bytes = generate_pdf(wqi, hsi, erosion, turbidity, summary)
@@ -259,110 +226,43 @@ def process_data(flow_rate, water_temp, sediment, construction, pH, do, nutrient
         return status_text, fig, graph_text, summary, pdf_path
 
     except Exception as e:
-        import traceback
-        return str(e), None, "", "", None, ""
+        return str(e), None, "", "", None
 
-# Wrapper to handle outputs mapping correctly
+# Wrapper
 def run_app(flow, temp, sediment, construction, ph, do, nutrients, sat_img):
-    status, fig, graph_txt, summary, pdf = process_data(flow, temp, sediment, construction, ph, do, nutrients, sat_img)
-    return status, fig, graph_txt, summary, pdf
+    return process_data(flow, temp, sediment, construction, ph, do, nutrients, sat_img)
 
-# -------------------- UI DESIGN & CSS --------------------
+# -------------------- UI DESIGN --------------------
 custom_css = """
 @import url('https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;600&display=swap');
-/* Global Font */
 * { font-family: 'Poppins', sans-serif !important; }
-/* Title Box */
-#title-box {
-    text-align: center;
-    background: linear-gradient(135deg, #0061ff 0%, #60efff 100%);
-    padding: 25px;
-    border-radius: 12px;
-    box-shadow: 0 4px 20px rgba(0, 97, 255, 0.3);
-    color: white;
-    margin-bottom: 25px;
-}
-/* Input Cards */
-.group-container {
-    background-color: #1f2937;
-    border: 1px solid #374151;
-    border-radius: 10px;
-    padding: 15px;
-    margin-bottom: 15px;
-    box-shadow: 0 2px 5px rgba(0,0,0,0.2);
-}
-.group-container h3 {
-    color: #60efff !important;
-    font-weight: 600;
-}
-/* Analyze Button */
-#analyze-btn {
-    background: linear-gradient(90deg, #0061ff 0%, #60efff 100%);
-    border: none;
-    color: white;
-    font-weight: 600;
-    font-size: 1.1rem;
-    border-radius: 8px;
-    transition: transform 0.2s;
-}
-#analyze-btn:hover {
-    transform: scale(1.02);
-    box-shadow: 0 0 15px rgba(96, 239, 255, 0.5);
-}
-/* About Me Profile Styling */
-.about-container {
-    background: #111827;
-    border: 1px solid #374151;
-    border-radius: 15px;
-    padding: 30px;
-    margin-top: 10px;
-    color: #e5e7eb;
-}
-.about-header {
-    font-size: 1.8rem;
-    font-weight: 600;
-    color: #60efff;
-    margin-bottom: 10px;
-    border-bottom: 2px solid #0061ff;
-    padding-bottom: 5px;
-    display: inline-block;
-}
-.about-text {
-    font-size: 1.1rem;
-    line-height: 1.8;
-    margin-top: 15px;
-}
+#title-box { background: linear-gradient(135deg, #0061ff 0%, #60efff 100%); color: white; padding: 20px; border-radius: 12px; text-align: center;}
+#analyze-btn { background: linear-gradient(90deg, #0061ff 0%, #60efff 100%); color: white; border: none; }
 """
 
-with gr.Blocks(title="FlumenIntel") as demo:
-    gr.HTML(f"<style>{custom_css}</style>")
+with gr.Blocks(title="FlumenIntel", css=custom_css) as demo:
     with gr.Column(elem_id="title-box"):
-        gr.Markdown("<h1>FlumenIntel 🌊</h1><h3>Advanced River Health Analytics</h3>")
+        gr.Markdown("# FlumenIntel 🌊\n### Advanced River Health Analytics")
 
-    # -------------------- TABS SYSTEM --------------------
     with gr.Tabs():
-        
-        # --- TAB 1: THE APP ---
+        # --- TAB 1: DASHBOARD ---
         with gr.TabItem("🚀 Dashboard"):
             with gr.Row():
                 # LEFT INPUTS
                 with gr.Column(scale=1):
-                    with gr.Group(elem_classes="group-container"):
-                        gr.Markdown("### 1. Hydrological Data")
-                        flow = gr.Number(label="Flow Rate (m³/s)", value=45)
-                        temp = gr.Number(label="Temperature (°C)", value=18)
-                        sediment = gr.Slider(0, 10, label="Sediment Level", value=2)
-                        construction = gr.Slider(0, 10, label="Construction Activity", value=0)
+                    gr.Markdown("### 1. Hydrological Data")
+                    flow = gr.Number(label="Flow Rate", value=45)
+                    temp = gr.Number(label="Temperature", value=18)
+                    sediment = gr.Slider(0, 10, label="Sediment", value=2)
+                    construction = gr.Slider(0, 10, label="Construction", value=0)
                     
-                    with gr.Group(elem_classes="group-container"):
-                        gr.Markdown("### 2. Chemical Data")
-                        ph = gr.Number(label="pH Level", value=7.2)
-                        do = gr.Number(label="Dissolved Oxygen (mg/L)", value=9.5)
-                        nutrients = gr.Slider(0, 10, label="Nutrient Load", value=1)
+                    gr.Markdown("### 2. Chemical Data")
+                    ph = gr.Number(label="pH Level", value=7.2)
+                    do = gr.Number(label="Dissolved Oxygen", value=9.5)
+                    nutrients = gr.Slider(0, 10, label="Nutrient Load", value=1)
                     
-                    with gr.Group(elem_classes="group-container"):
-                        gr.Markdown("### 3. Visual Analysis")
-                        sat_img = gr.Image(label="Satellite Image", type="pil")
+                    gr.Markdown("### 3. Visual Analysis")
+                    sat_img = gr.Image(label="Satellite Image", type="pil")
                     
                     analyze_btn = gr.Button("GENERATE REPORT", elem_id="analyze-btn")
 
@@ -373,16 +273,12 @@ with gr.Blocks(title="FlumenIntel") as demo:
                     with gr.Tabs():
                         with gr.TabItem("📊 Visual Analytics"):
                             plot_output = gr.Plot(label="Metric Visualization")
-                            # NEW: Graph Explanation Text
-                            graph_summary_box = gr.Markdown("### Graph Insights will appear here...")
+                            graph_summary_box = gr.Markdown("### Insights...")
                         
                         with gr.TabItem("📄 Official Report"):
-                            ai_summary = gr.Textbox(
-                                label="Scientist's Assessment", 
-                                lines=20, 
-                                interactive=False
-                            )
-                            # --- AUDIO BUTTON ADDED HERE ---
+                            ai_summary = gr.Textbox(label="Scientist's Assessment", lines=15, interactive=False)
+                            
+                            # --- AUDIO BUTTON ---
                             with gr.Row():
                                 audio_btn = gr.Button("🔊 Listen to Report (ElevenLabs)")
                                 audio_out = gr.Audio(label="Player", type="filepath")
@@ -392,28 +288,13 @@ with gr.Blocks(title="FlumenIntel") as demo:
                                 inputs=ai_summary, 
                                 outputs=audio_out
                             )
-                            # -------------------------------
-                        
+
                         with gr.TabItem("📥 Export"):
-                            gr.Markdown("### Download Verified PDF")
                             pdf_output = gr.File(label="FlumenIntel Report.pdf")
 
         # --- TAB 2: ABOUT ME ---
         with gr.TabItem("👤 About Me"):
-            with gr.Column(elem_classes="about-container"):
-                gr.HTML("""
-                <div class="about-header">Abdullah</div>
-                <div style="color: #9ca3af; font-size: 1rem; margin-bottom: 20px;">Computer Engineering Undergraduate | AI & Hardware Enthusiast</div>
-                
-                <div class="about-text">
-                I am a computer engineering undergraduate with a strong foundation in software development, AI, and hardware systems. 
-                I have hands-on experience building practical projects, ranging from applications that enhance user experiences to embedded systems and circuit design. 
-                My work reflects a commitment to innovation, problem-solving, and applying technology to real-world challenges.
-                <br><br>
-                I am actively developing expertise in AI, web development, and software engineering, with a focus on creating scalable and impactful solutions. 
-                I thrive in dynamic environments, value continuous learning, and aim to combine technical proficiency with strategic thinking to contribute to cutting-edge projects and technology-driven initiatives.
-                </div>
-                """)
+             gr.Markdown("## Abdullah\nComputer Engineering Undergraduate | AI & Hardware Enthusiast")
 
     # Events
     analyze_btn.click(