Create app.py

app.py

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+import gradio as gr
+import requests
+
+# Replace with your actual Groq API Key
+GROQ_API_KEY = "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"
+
+# Groq's LLaMA2 endpoint
+GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
+
+# System prompt to define bot behavior
+system_prompt = (
+    "You are a Construction Material Advisor Bot. Your job is to recommend the best construction materials "
+    "for civil engineering projects based on environmental conditions, budget, load requirements, and durability. "
+    "Be concise, informative, and explain pros and cons of materials."
+)
+
+# Function to get response from Groq API
+def get_material_advice(user_query):
+    headers = {
+        "Authorization": f"Bearer {GROQ_API_KEY}",
+        "Content-Type": "application/json"
+    }
+
+    payload = {
+        "model": "llama2-70b-4096",  # You can use llama2-7b if available
+        "messages": [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": user_query}
+        ],
+        "temperature": 0.7,
+        "max_tokens": 500
+    }
+
+    try:
+        response = requests.post(GROQ_API_URL, headers=headers, json=payload)
+        response.raise_for_status()
+        data = response.json()
+        return data["choices"][0]["message"]["content"].strip()
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Gradio interface
+demo = gr.Interface(
+    fn=get_material_advice,
+    inputs=gr.Textbox(lines=3, placeholder="Ask about construction materials..."),
+    outputs="text",
+    title="🧱 Construction Material Advisor Bot",
+    description="Ask questions like 'What is the best material for a coastal bridge?' or 'Suggest budget-friendly wall material for cold regions.'"
+)
+
+# Launch app
+demo.launch()