Update app.py

app.py

@@ -5,55 +5,53 @@ import plotly.express as px
 import os
 
 # ================================================================
-# Helper Function
+# Core Logic
 # ================================================================
 
 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
+    # 1. Fetch Wikipedia Data
     wiki_url = "https://en.wikipedia.org/w/api.php"
     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
     }
 
     try:
         response = requests.get(wiki_url, params=params).json()
         pages = response.get("query", {}).get("pages", {})
         if "-1" in pages:
-            extract = "Species not found."
+            extract = "Species not found in Wikipedia database."
         else:
             page = next(iter(pages.values()))
             extract = page.get("extract", "No summary available.")
     except:
         extract = "Error fetching data."
 
-    # Pad text if too short
+    # Pad text if short to maintain UI balance
     words = extract.split()
     if len(words) < 200:
-        extract += "\n\n" + ("Conservation of this species is critical for biodiversity. " * 5)
+        extract += "\n\n" + ("This species is vital for the local ecosystem balance. " * 5)
     
-    summary = " ".join(words[:350])
+    summary = " ".join(words[:300]) + "..."
     
-    # Add Analysis
-    analysis_text = f"""
-Environmental Impact Assessment:
-- Water Disturbance: {water_disturbance}/100
-- Land Disturbance: {land_disturbance}/100
-- Noise Level: {noise_level}/100
-- Habitat: {habitat}
-
-Higher disturbance values indicate increased pressure on this species' survival and reproduction.
-"""
-    summary += analysis_text
+    # Add Analysis Section
+    analysis = f"""
+    
+    ---
+    ### 📊 Environmental Impact Report
+    * **Habitat:** {habitat}
+    * **Water Stress:** {water_disturbance}/100
+    * **Land Stress:** {land_disturbance}/100
+    * **Noise Pollution:** {noise_level}/100
+    """
+    
+    full_text = summary + analysis
 
-    # 2. Fetch GBIF Map
-    gbif_url = f"https://api.gbif.org/v1/occurrence/search?scientificName={species_name}&limit=200"
+    # 2. 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()
@@ -65,62 +63,112 @@ Higher disturbance values indicate increased pressure on this species' survival
 
     if coords:
         df = pd.DataFrame(coords)
-        fig = px.scatter_mapbox(df, lat="lat", lon="lon", zoom=1, height=400)
-        fig.update_layout(mapbox_style="open-street-map", margin={"r":0,"t":0,"l":0,"b":0})
+        fig = px.scatter_mapbox(df, lat="lat", lon="lon", zoom=1, height=350)
+        # Beautiful Map Styling
+        fig.update_layout(
+            mapbox_style="open-street-map", 
+            margin={"r":0,"t":0,"l":0,"b":0},
+            paper_bgcolor="rgba(0,0,0,0)"
+        )
     else:
-        fig = px.scatter_mapbox(pd.DataFrame({"lat":[], "lon":[]}), lat="lat", lon="lon", zoom=1)
-        fig.update_layout(mapbox_style="open-street-map")
+        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 Downloadable Report File
+    # 3. Create Download File
     filename = "BioVigilus_Report.txt"
     with open(filename, "w", encoding="utf-8") as f:
-        f.write(f"=== BioVigilus Biodiversity Report ===\n\n")
-        f.write(f"Species: {species_name}\n")
-        f.write(f"Source: Wikipedia & GBIF Data\n")
-        f.write(f"--------------------------------------\n")
-        f.write(summary)
+        f.write(f"=== BioVigilus Biodiversity Report ===\n{full_text}")
     
-    # Return path to the file for download
-    return summary, fig, filename
+    return full_text, fig, filename
 
 # ================================================================
-# CSS Styling (HTML Injection)
+# Custom CSS for "Beautiful" Look
 # ================================================================
-css_code = """
-<style>
-body { background-color: #f2f7f4; }
-.gradio-container { font-family: 'Poppins', sans-serif; }
-h1 { color: #2e7d32; text-align: center; }
-.custom-box { border: 1px solid #ddd; padding: 20px; border-radius: 10px; background: white; }
-</style>
+
+custom_css = """
+/* Gradient Background */
+body, .gradio-container {
+    background: linear-gradient(135deg, #e0f2f1 0%, #a5d6a7 100%) !important;
+}
+
+/* Card Styling (Glass effect) */
+.group-box {
+    background: rgba(255, 255, 255, 0.9) !important;
+    border-radius: 15px !important;
+    border: 1px solid #c8e6c9 !important;
+    box-shadow: 0 8px 32px 0 rgba(31, 38, 135, 0.07) !important;
+    padding: 20px !important;
+}
+
+/* Headings */
+h1 {
+    color: #1b5e20 !important;
+    font-family: 'Helvetica Neue', sans-serif;
+    text-shadow: 1px 1px 2px rgba(0,0,0,0.1);
+}
+
+/* Button Styling */
+button.primary-btn {
+    background: linear-gradient(90deg, #2e7d32 0%, #43a047 100%) !important;
+    border: none !important;
+    box-shadow: 0 4px 15px rgba(46, 125, 50, 0.3) !important;
+}
 """
 
 # ================================================================
-# UI Layout
+# Modern UI Layout
 # ================================================================
 
-with gr.Blocks() as demo:
-    gr.HTML(css_code) 
+# We use the Soft theme for a clean, professional look
+with gr.Blocks(theme=gr.themes.Soft(primary_hue="green"), css=custom_css) as demo:
     
-    gr.Markdown("# 🌿 BioVigilus — Biodiversity Impact Analyzer")
-    gr.Markdown("Analyze species, habitats, and environmental stress factors.")
+    gr.Markdown(
+        """
+        # 🌿 BioVigilus
+        ### Biodiversity Impact & Distribution Analyzer
+        """
+    )
 
     with gr.Row():
-        with gr.Column(elem_classes="custom-box"):
-            species_name = gr.Textbox(label="Species Name", placeholder="e.g. Panthera tigris")
-            habitat = gr.Textbox(label="Habitat Type", placeholder="Forest")
-            water = gr.Slider(0, 100, label="Water Disturbance")
-            land = gr.Slider(0, 100, label="Land Disturbance")
-            noise = gr.Slider(0, 100, label="Noise Level")
-            btn = gr.Button("Analyze", variant="primary")
-
-        with gr.Column(elem_classes="custom-box"):
-            out_summary = gr.Textbox(label="Summary", lines=10)
-            out_map = gr.Plot(label="Map")
-            # Changed from Image (QR) to File (Download)
-            out_file = gr.File(label="Download Report")
-
-    btn.click(process_species_data, [species_name, habitat, water, land, noise], [out_summary, out_map, out_file])
+        # LEFT COLUMN: INPUTS
+        with gr.Column(elem_classes="group-box"):
+            gr.Markdown("### 🔍 Input Parameters")
+            species_name = gr.Textbox(label="Scientific Name", placeholder="e.g., Panthera tigris", show_label=False)
+            
+            # Interactive Dropdown instead of Textbox
+            habitat = gr.Dropdown(
+                ["Tropical Rainforest", "Savanna", "Desert", "Wetlands", "Tundra", "Urban Area"], 
+                label="Habitat Type", value="Tropical Rainforest"
+            )
+
+            gr.Markdown("### ⚠️ Environmental Stressors")
+            water = gr.Slider(0, 100, label="Water Disturbance", value=30, info="Pollution/Drought level")
+            land = gr.Slider(0, 100, label="Land Disturbance", value=40, info="Deforestation/Construction")
+            noise = gr.Slider(0, 100, label="Noise Level", value=20, info="Decibels/Traffic")
+
+            analyze_btn = gr.Button("🚀 Analyze Impact", variant="primary", elem_classes="primary-btn")
+
+        # RIGHT COLUMN: OUTPUTS
+        with gr.Column(elem_classes="group-box"):
+            gr.Markdown("### 🌍 Analysis Results")
+            
+            # Tabbed interface for cleaner look
+            with gr.Tabs():
+                with gr.TabItem("📄 Summary"):
+                    out_summary = gr.Textbox(label="AI Report", lines=10, interactive=False)
+                
+                with gr.TabItem("🗺️ Distribution Map"):
+                    out_map = gr.Plot(label="Global Occurrences")
+            
+            # Download Button
+            out_file = gr.File(label="📥 Download Full Report", file_count="single")
+
+    # Connect logic
+    analyze_btn.click(
+        process_species_data, 
+        inputs=[species_name, habitat, water, land, noise], 
+        outputs=[out_summary, out_map, out_file]
+    )
 
 if __name__ == "__main__":
     demo.launch()