Upload app.py

app.py

@@ -0,0 +1,46 @@
+import gradio as gr
+import os
+import openai
+
+client = openai.OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
+
+BASE_SYSTEM_PROMPT = "You are an SQL expert. Based on the selected dialect, return a correct SQL query for the user's request."
+
+def query_openai(message, chat_history, dialect):
+    system_prompt = f"{BASE_SYSTEM_PROMPT} Use the {dialect} dialect."
+
+    messages = [{"role": "system", "content": system_prompt}]
+    for user, bot in chat_history:
+        messages.append({"role": "user", "content": user})
+        messages.append({"role": "assistant", "content": bot})
+    messages.append({"role": "user", "content": message})
+
+    response = client.chat.completions.create(
+        model="gpt-3.5-turbo",
+        messages=messages,
+        temperature=0.5
+    )
+
+    return response.choices[0].message.content
+
+def respond(message, chat_history, dialect):
+    try:
+        bot_reply = query_openai(message, chat_history, dialect)
+    except Exception as e:
+        bot_reply = f"❌ Error: {str(e)}"
+    chat_history.append((message, bot_reply))
+    return "", chat_history
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 🧠 SQL Query Generator Bot (OpenAI GPT-Powered)")
+
+    dialect = gr.Dropdown(["MySQL", "PostgreSQL", "SQLite"], value="MySQL", label="Select SQL Dialect")
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox(label="Describe your SQL query in plain English")
+    clear = gr.Button("Clear Chat")
+    state = gr.State([])
+
+    msg.submit(respond, [msg, state, dialect], [msg, chatbot])
+    clear.click(lambda: ([], []), None, [chatbot, state])
+
+demo.launch()