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