Update app.py

app.py

@@ -1,22 +1,91 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import psycopg2
+import os
+import re
 
-# Load the Zephyr model from Hugging Face
+# Hugging Face Zephyr model
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
-# Define how the chatbot responds
+# TimescaleDB config (via Hugging Face Space secrets)
+DB_CONFIG = {
+    "host": os.getenv("DB_HOST"),
+    "port": os.getenv("DB_PORT", 5432),
+    "database": os.getenv("DB_NAME"),
+    "user": os.getenv("DB_USER"),
+    "password": os.getenv("DB_PASSWORD"),
+}
+
+# Query TimescaleDB
+def query_timescaledb(sql_query):
+    try:
+        with psycopg2.connect(**DB_CONFIG) as conn:
+            with conn.cursor() as cur:
+                cur.execute(sql_query)
+                return cur.fetchall()
+    except Exception as e:
+        return f"DB Error: {e}"
+
+# Basic pattern matching to route question types
+def get_sql_for_question(message):
+    message = message.lower()
+    
+    if "average current" in message:
+        return """
+            SELECT AVG(CT_Avg) as avg_current FROM machine_current_log
+            WHERE created_at >= NOW() - INTERVAL '1 day';
+        """, "Here's the average current over the past 24 hours:"
+    
+    elif "total current" in message:
+        return """
+            SELECT created_at, total_current FROM machine_current_log
+            WHERE created_at >= NOW() - INTERVAL '1 day'
+            ORDER BY created_at DESC LIMIT 10;
+        """, "Here are the latest 10 total current readings:"
+    
+    elif "state duration" in message or "longest running state" in message:
+        return """
+            SELECT state, MAX(state_duration) FROM machine_current_log
+            WHERE created_at >= NOW() - INTERVAL '1 week'
+            GROUP BY state
+            ORDER BY MAX(state_duration) DESC LIMIT 1;
+        """, "Here's the longest running machine state this week:"
+    
+    elif "fault" in message:
+        return """
+            SELECT fault_status, COUNT(*) FROM machine_current_log
+            WHERE fault_status IS NOT NULL
+            GROUP BY fault_status
+            ORDER BY COUNT(*) DESC;
+        """, "Here is the frequency of different fault statuses:"
+    
+    return None, None
+
+# Respond using LLM + data if relevant
 def respond(message, history: list[tuple[str, str]], system_message, max_tokens, temperature, top_p):
+    sql_query, context_prefix = get_sql_for_question(message)
+
+    if sql_query:
+        result = query_timescaledb(sql_query)
+        if isinstance(result, str):  # error case
+            db_info = result
+        elif not result:
+            db_info = "No data found."
+        else:
+            # Clean and format result
+            db_info = "\n".join(str(row) for row in result)
+
+        message = f"{context_prefix}\n{db_info}\n\nAnswer the user's query based on this information."
+
     messages = [{"role": "system", "content": system_message}]
-    
     for val in history:
         if val[0]:
             messages.append({"role": "user", "content": val[0]})
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
-
     messages.append({"role": "user", "content": message})
-    response = ""
 
+    response = ""
     for message in client.chat_completion(
         messages,
         max_tokens=max_tokens,
@@ -28,21 +97,20 @@ def respond(message, history: list[tuple[str, str]], system_message, max_tokens,
         response += token
         yield response
 
-
-
-# Build the UI using Gradio Blocks
+# Gradio UI
 with gr.Blocks() as demo:
     gr.Markdown("## 🤖 Wiser AI Assistant")
     gr.Markdown(
         """
         Welcome to **Wiser's AI Assistant**, your smart companion for all things manufacturing.
-        Ask questions about:
-        - Smart factory operations 🏭
-        - Workflow automation ⚙️
-        - Efficiency tips 📈
-        - Wiser’s AI-powered solutions 🧠
 
-        Learn how Wiser Machines can help transform your production floor!
+        Ask anything like:
+        - "What's the average current today?"
+        - "What faults happened this week?"
+        - "Tell me the latest machine states"
+        - "Any machines running too long?"
+
+        I'm connected to live TimescaleDB data 👨‍🏭📊
         """
     )
     
@@ -50,7 +118,7 @@ with gr.Blocks() as demo:
         respond,
         additional_inputs=[
             gr.Textbox(
-                value="You are Wiser, an expert AI assistant in smart manufacturing. Help users improve factory productivity and explain Wiser’s solutions with confidence.",
+                value="You are Wiser, an expert AI assistant in smart manufacturing. Help users understand machine metrics using the latest database values.",
                 label="System message"
             ),
             gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
@@ -59,7 +127,6 @@ with gr.Blocks() as demo:
         ],
     )
 
-# Run the app
+# Run
 if __name__ == "__main__":
     demo.launch()
-