Create app.py

app.py

@@ -0,0 +1,54 @@
+import gradio as gr
+import requests
+import os
+
+# Groq API Setup (Replace with your API Key)
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")  # Hugging Face Secrets se set karo
+GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
+
+# Flood Prediction via Groq AI
+def predict_flood_risk(location, water_level, rainfall):
+    prompt = f"""
+    Flood Risk Assessment:
+    - Location: {location}
+    - Current Water Level: {water_level} meters
+    - Last 24h Rainfall: {rainfall} mm
+    - Historical Data: Moderate flood risk zone
+
+    Question: Should we issue a flood warning? 
+    Reply format: "VERDICT: [HIGH/MEDIUM/LOW] | REASON: [1-line explanation]"
+    """
+
+    headers = {
+        "Authorization": f"Bearer {GROQ_API_KEY}",
+        "Content-Type": "application/json"
+    }
+    payload = {
+        "messages": [{"role": "user", "content": prompt}],
+        "model": "mixtral-8x7b-32768"  # Groq's fast model
+    }
+
+    response = requests.post(GROQ_API_URL, headers=headers, json=payload)
+    if response.status_code == 200:
+        return response.json()["choices"][0]["message"]["content"]
+    else:
+        return f"Error: {response.text}"
+
+# Gradio UI
+with gr.Blocks(title="Flood Alert AI") as app:
+    gr.Markdown("## 🌊 Flood Warning System (Powered by Groq AI)")
+    with gr.Row():
+        location = gr.Textbox(label="📍 Location (e.g., Delhi, India)")
+        water_level = gr.Slider(label="💧 Water Level (meters)", minimum=0, maximum=10)
+        rainfall = gr.Slider(label="🌧️ 24h Rainfall (mm)", minimum=0, maximum=500)
+    submit_btn = gr.Button("🚨 Check Flood Risk")
+    
+    output = gr.Textbox(label="⚠️ AI Alert", interactive=False)
+    
+    submit_btn.click(
+        fn=predict_flood_risk,
+        inputs=[location, water_level, rainfall],
+        outputs=output
+    )
+
+app.launch()