Update app.py

app.py

@@ -51,7 +51,6 @@ def execute_ai_query(provider, api_key, user_question):
     if not user_question.strip():
         return None, "⚠️ Please type a question or scenario."
 
-    # FIXED: Replaced raw triple backticks with clean textual descriptions to prevent Hugging Face parsing errors
     system_prompt = (
         "You are an expert SQL assistant. The database table is called 'project_tasks' with columns: "
         "[id, timestamp, phase, task_name, owner, timeline, priority]. "
@@ -82,19 +81,19 @@ def execute_ai_query(provider, api_key, user_question):
             }
             payload = {
                 "model": "meta-llama/llama-3-8b-instruct:free",
-                "messages=[
+                "messages": [
                     {"role": "system", "content": system_prompt},
                     {"role": "user", "content": user_question}
                 ],
                 "temperature": 0.0
             }
-            response = requests.post("[https://openrouter.ai/api/v1/chat/completions](https://openrouter.ai/api/v1/chat/completions)", headers=headers, json=payload)
+            response = requests.post("https://openrouter.ai/api/v1/chat/completions", headers=headers, json=payload)
             if response.status_code == 200:
                 sql_query = response.json()['choices'][0]['message']['content'].strip()
             else:
                 return None, f"❌ OpenRouter Error: {response.text}"
 
-        # Defensive stripping of markdown in case the model returns code blocks anyway
+        # Clean any potential accidental formatting artifacts from LLM outputs
         sql_query = sql_query.replace("```sql", "").replace("```", "").replace("`", "").strip()
 
         conn = sqlite3.connect(DB_NAME)