Create app.py

app.py

@@ -0,0 +1,59 @@
+# app.py — Civil Damage Analyzer (Gradio + Groq)
+
+import gradio as gr
+import base64, requests, os
+from PIL import Image
+from io import BytesIO
+
+# Get Groq API key from Hugging Face Secret
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
+MODEL_NAME   = "llama3-70b-8192"
+
+def call_groq(prompt: str) -> str:
+    headers = {
+        "Authorization": f"Bearer {GROQ_API_KEY}",
+        "Content-Type": "application/json"
+    }
+    data = {
+        "model": MODEL_NAME,
+        "messages": [
+            {"role": "system", "content": "You are a helpful civil engineering assistant."},
+            {"role": "user", "content": prompt}
+        ],
+        "temperature": 0.5
+    }
+    response = requests.post(GROQ_API_URL, headers=headers, json=data, timeout=60)
+    if response.status_code == 200:
+        return response.json()["choices"][0]["message"]["content"]
+    else:
+        return f"❌ Groq API error {response.status_code}\n{response.text}"
+
+def analyze_damage(image: Image.Image) -> str:
+    buf = BytesIO()
+    image.save(buf, format="JPEG")
+    img_b64 = base64.b64encode(buf.getvalue()).decode()
+
+    prompt = f"""
+You are a professional civil engineer. Given a base64‑encoded photo of construction damage,
+provide a structured report with:
+1. Damage Type
+2. Estimated Repair Time
+3. Estimated Cost Range
+4. Required Materials
+5. Safety Precautions
+6. Prevention Tips
+
+Base64 (truncated): {img_b64[:500]}...
+"""
+    return call_groq(prompt)
+
+demo = gr.Interface(
+    fn=analyze_damage,
+    inputs=gr.Image(type="pil", label="📷 Upload Damage Image"),
+    outputs=gr.Textbox(label="📄 Damage Assessment", lines=15),
+    title="🏗️ Civil Damage Analyzer",
+    description="Upload a photo of damage (e.g., cracked wall, broken pipe) and get expert repair guidance.",
+)
+
+demo.launch()