Update app.py

app.py

@@ -4,57 +4,86 @@ import pandas as pd
 import plotly.express as px
 
 # ================================================================
-# Core Logic
+# 1. Core Logic (Robust Data Fetching)
 # ================================================================
 
 def process_species_data(species_name, habitat, water_disturbance, land_disturbance, noise_level):
     if not species_name:
         return "Please enter a species name.", None, None
 
-    # 1. Fetch Wikipedia
+    # --- A. Fetch Wikipedia Data (FIXED) ---
+    # We must use a User-Agent header, otherwise Wikipedia blocks the request.
     wiki_url = "https://en.wikipedia.org/w/api.php"
+    headers = {
+        'User-Agent': 'BioVigilusApp/1.0 (educational-research-project)'
+    }
     params = {
-        "action": "query", "format": "json", "prop": "extracts",
-        "titles": species_name.replace(" ", "_"), "explaintext": True
+        "action": "query",
+        "format": "json",
+        "prop": "extracts",
+        "titles": species_name.replace(" ", "_"),
+        "explaintext": True,
+        "exintro": False,  # We want the full article, not just the intro
     }
 
     try:
-        response = requests.get(wiki_url, params=params).json()
+        response = requests.get(wiki_url, params=params, headers=headers).json()
         pages = response.get("query", {}).get("pages", {})
+        
         if "-1" in pages:
-            extract = "Species not found in Wikipedia."
+            extract = f"Species '{species_name}' not found. Please check spelling (e.g., use 'Panthera tigris' instead of 'Tiger')."
         else:
             page = next(iter(pages.values()))
             extract = page.get("extract", "No summary available.")
-    except:
-        extract = "Error fetching data."
+            
+    except Exception as e:
+        extract = f"Connection Error: {str(e)}"
 
-    # Pad text
+    # --- B. Length Enforcement (150-250 words) ---
     words = extract.split()
-    if len(words) < 200:
-        extract += "\n\n" + ("Conservation of this species is critical for biodiversity. " * 5)
     
-    summary = " ".join(words[:300]) + "..."
+    # If text is too short (less than 150 words), we append general educational info to make it robust
+    if len(words) < 150:
+        educational_filler = (
+            "\n\n[Additional Ecological Context]\n"
+            f"The species {species_name} is an integral part of its local food web. "
+            "Biodiversity loss regarding this species could trigger a trophic cascade, affecting both prey and predator populations. "
+            "Conservationists monitor such species as bio-indicators of environmental health. "
+            "Preserving their natural habitat is essential not just for their survival, but for the stability of the entire ecosystem. "
+            "Effective conservation strategies include habitat restoration, anti-poaching laws, and community awareness programs."
+        )
+        extract += educational_filler
+        words = extract.split() # Update word count
+
+    # Cap at ~250 words for the UI summary to keep it concise but detailed
+    summary_text = " ".join(words[:250]) + "..."
     
-    # Analysis text
-    analysis = f"""
+    # --- C. Impact Analysis (Appended to Summary) ---
+    analysis_section = f"""
+
+    ------------------------------------------------
+    📊 ENVIRONMENTAL IMPACT ANALYSIS
+    ------------------------------------------------
+    • Target Habitat: {habitat}
     
-    ENVIRONMENTAL IMPACT REPORT
-    ---------------------------
-    Habitat: {habitat}
-    Water Stress: {water_disturbance}/100
-    Land Stress: {land_disturbance}/100
-    Noise Level: {noise_level}/100
+    ⚠️ STRESS INDICATORS:
+    • Water Stress: {water_disturbance}/100 
+      (High levels indicate pollution or drought risk)
+    • Land Disturbance: {land_disturbance}/100 
+      (Reflects habitat fragmentation or loss)
+    • Noise Pollution: {noise_level}/100 
+      (Impacts communication and breeding patterns)
     """
     
-    full_text = summary + analysis
+    final_output = summary_text + analysis_section
 
-    # 2. Fetch GBIF Map
+    # --- D. Fetch GBIF Map Data ---
     gbif_url = f"https://api.gbif.org/v1/occurrence/search?scientificName={species_name}&limit=300"
     coords = []
     try:
         gbif_res = requests.get(gbif_url).json()
-        for r in gbif_res.get("results", []):
+        results = gbif_res.get("results", [])
+        for r in results:
             if r.get("decimalLatitude") and r.get("decimalLongitude"):
                 coords.append({"lat": r.get("decimalLatitude"), "lon": r.get("decimalLongitude")})
     except:
@@ -68,83 +97,140 @@ def process_species_data(species_name, habitat, water_disturbance, land_disturba
         fig = px.scatter_mapbox(pd.DataFrame({"lat":[], "lon":[]}), lat="lat", lon="lon", zoom=0)
         fig.update_layout(mapbox_style="open-street-map", margin={"r":0,"t":0,"l":0,"b":0})
 
-    # 3. Create File
+    # --- E. Create Download File ---
     filename = "BioVigilus_Report.txt"
     with open(filename, "w", encoding="utf-8") as f:
-        f.write(f"=== BioVigilus Biodiversity Report ===\n{full_text}")
+        f.write(f"=== BioVigilus Project Report ===\n{final_output}")
     
-    return full_text, fig, filename
+    return final_output, fig, filename
 
 # ================================================================
-# MANUAL BEAUTIFICATION (CSS Injection)
+# 2. VIBRANT CSS (High Contrast & Professional)
 # ================================================================
-# This CSS runs inside the browser, so Python won't crash.
 
-beauty_css = """
+vibrant_css = """
 <style>
-    body, .gradio-container {
-        background: linear-gradient(135deg, #e8f5e9 0%, #c8e6c9 100%) !important;
-        font-family: sans-serif;
+    /* Main Background - Stronger Gradient */
+    .gradio-container {
+        background: linear-gradient(135deg, #004d40 0%, #2e7d32 100%) !important;
     }
-    h1 {
-        color: #1b5e20;
-        text-align: center;
+    
+    /* Main Title - White and Bold */
+    #main-title {
+        color: #ffffff !important;
+        font-family: 'Poppins', sans-serif;
         font-weight: 800;
-        margin-bottom: 10px;
+        font-size: 2.5rem;
+        text-shadow: 2px 2px 4px rgba(0,0,0,0.3);
+        text-align: center;
+        margin-bottom: 5px;
     }
-    .custom-box {
-        background: white;
-        padding: 20px;
-        border-radius: 12px;
-        border: 1px solid #a5d6a7;
-        box-shadow: 0 4px 15px rgba(0,0,0,0.1);
+    
+    /* Subtitle */
+    #sub-title {
+        color: #a5d6a7 !important; 
+        font-size: 1.2rem; 
+        text-align: center; 
+        margin-bottom: 25px;
     }
-    /* Make the button green */
-    button.primary {
-        background: #2e7d32 !important;
+
+    /* Cards - Pure White with Strong Shadow */
+    .custom-card {
+        background: #ffffff !important;
+        padding: 25px !important;
+        border-radius: 12px !important;
+        box-shadow: 0 10px 30px rgba(0,0,0,0.2) !important;
+        border: none !important;
+    }
+
+    /* Input Labels */
+    label span {
+        color: #1b5e20 !important;
+        font-weight: bold !important;
+        font-size: 1rem !important;
+    }
+
+    /* Button - Gradient Green */
+    #analyze-btn {
+        background: linear-gradient(90deg, #1b5e20 0%, #2e7d32 100%) !important;
         color: white !important;
+        font-size: 1.1rem !important;
+        border-radius: 8px !important;
+        border: none !important;
+        box-shadow: 0 4px 15px rgba(0,0,0,0.2) !important;
+    }
+    #analyze-btn:hover {
+        transform: translateY(-2px);
+        box-shadow: 0 6px 20px rgba(0,0,0,0.3) !important;
+    }
+    
+    /* Summary Text Box */
+    textarea {
+        font-size: 1rem !important;
+        line-height: 1.6 !important;
+        color: #333 !important;
+        background-color: #f9f9f9 !important;
+        border: 1px solid #ddd !important;
     }
 </style>
 """
 
 # ================================================================
-# UI Layout (Strict Safe Mode)
+# 3. UI Layout
 # ================================================================
 
-# CRITICAL: Do NOT put theme= or css= inside gr.Blocks(...)
 with gr.Blocks() as demo:
     
-    # We inject the style here instead
-    gr.HTML(beauty_css)
+    # Inject CSS
+    gr.HTML(vibrant_css)
     
-    gr.Markdown("# 🌿 BioVigilus")
-    gr.Markdown("<p style='text-align:center; color:#2e7d32'><b>Biodiversity Impact & Species Distribution Analyzer</b></p>")
+    # Header Section
+    gr.HTML("""
+        <div id="main-title">🌿 BioVigilus</div>
+        <div id="sub-title">Advanced Biodiversity & Environmental Stress Analyzer</div>
+    """)
 
     with gr.Row():
-        # Left Column
-        with gr.Column(elem_classes="custom-box"): 
-            # Note: if 'elem_classes' fails in super old versions, the app will still run, just without white box bg
-            gr.Markdown("### 🔍 Configuration")
-            species_name = gr.Textbox(label="Scientific Name", placeholder="e.g. Panthera tigris")
+        # --- LEFT: INPUTS ---
+        with gr.Column(elem_classes="custom-card"): 
+            gr.Markdown("### 🔍 Species Configuration")
+            species_name = gr.Textbox(
+                label="Scientific Name", 
+                placeholder="e.g. Panthera tigris", 
+                value="Panthera tigris"
+            )
+            
             habitat = gr.Dropdown(
-                ["Tropical Rainforest", "Savanna", "Desert", "Wetlands", "Urban"], 
-                label="Habitat", value="Tropical Rainforest"
+                ["Tropical Rainforest", "Savanna", "Desert", "Wetlands", "Urban", "Marine"], 
+                label="Habitat Environment", 
+                value="Tropical Rainforest"
             )
 
-            gr.Markdown("### ⚠️ Stress Factors")
-            water = gr.Slider(0, 100, label="Water Disturbance")
-            land = gr.Slider(0, 100, label="Land Disturbance")
-            noise = gr.Slider(0, 100, label="Noise Level")
-
-            analyze_btn = gr.Button("Analyze Impact", variant="primary")
-
-        # Right Column
-        with gr.Column(elem_classes="custom-box"):
-            gr.Markdown("### 🌍 Results")
-            out_summary = gr.Textbox(label="Summary", lines=8)
-            out_map = gr.Plot(label="Map")
-            out_file = gr.File(label="Download Report")
+            gr.Markdown("---")
+            gr.Markdown("### ⚠️ Environmental Stressors")
+            
+            water = gr.Slider(0, 100, value=25, label="Water Pollution Level")
+            land = gr.Slider(0, 100, value=65, label="Land Degradation")
+            noise = gr.Slider(0, 100, value=30, label="Noise Pollution (dB impact)")
+
+            analyze_btn = gr.Button("🚀 Run Analysis", elem_id="analyze-btn")
+
+        # --- RIGHT: OUTPUTS ---
+        with gr.Column(elem_classes="custom-card"):
+            gr.Markdown("### 📊 Analysis Results")
+            
+            # Summary Box with Scrollbar logic (lines=12 creates a tall box, overflow handles scrolling)
+            out_summary = gr.Textbox(
+                label="Ecological Summary & Impact Report", 
+                lines=12,  # Ensures it's tall enough to require scrolling for long text
+                interactive=False,
+                show_copy_button=True
+            )
+            
+            out_map = gr.Plot(label="Global Occurrence Map")
+            out_file = gr.File(label="📥 Download Full Report")
 
+    # Click Event
     analyze_btn.click(
         process_species_data, 
         inputs=[species_name, habitat, water, land, noise],