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Update app.py
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app.py
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@@ -6,7 +6,7 @@ import google.generativeai as genai
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import time
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# Initialize Gemini
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genai.configure(api_key="
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genai_model = genai.GenerativeModel('gemini-pro')
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class SQLPromptModel:
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@@ -89,14 +89,27 @@ with gr.Blocks(title="House Database Query") as demo:
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gr.Markdown("""### The database contains information about different properties including their fundamental details.
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You can query this database using natural language.""")
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# Example queries
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gr.Examples(
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@@ -109,9 +122,6 @@ with gr.Blocks(title="House Database Query") as demo:
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outputs=query_output,
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fn=execute_sql_query
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)
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# Submit button
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query_input.submit(fn=execute_sql_query, inputs=query_input, outputs=query_output)
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if __name__ == "__main__":
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demo.launch(share=True)
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import time
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# Initialize Gemini
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genai.configure(api_key="YOUR_GEMINI_API_KEY")
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genai_model = genai.GenerativeModel('gemini-pro')
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class SQLPromptModel:
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gr.Markdown("""### The database contains information about different properties including their fundamental details.
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You can query this database using natural language.""")
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with gr.Row():
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# Query input and output
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query_input = gr.Textbox(
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lines=2,
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label="Database Query",
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placeholder="Enter your query or choose from examples below. Default: 'Properties in India'"
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)
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with gr.Row():
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# Add submit button
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submit_btn = gr.Button("Submit Query", variant="primary")
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with gr.Row():
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query_output = gr.JSON(label="Query Results")
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# Connect submit button to the query function
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submit_btn.click(
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fn=execute_sql_query,
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inputs=query_input,
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outputs=query_output
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)
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# Example queries
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gr.Examples(
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outputs=query_output,
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fn=execute_sql_query
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)
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if __name__ == "__main__":
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demo.launch(share=True)
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