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Create app.py
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app.py
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import gradio as gr
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import google.generativeai as genai
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import os
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from dotenv import load_dotenv
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# Authentication
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load_dotenv()
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GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY')
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genai.configure(api_key=GOOGLE_API_KEY)
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model = genai.GenerativeModel('gemini-1.5-flash')
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def generate_code(logic, time_complexity, space_complexity, language, others):
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prompt = f"""
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Generate Code by considering the following parameter and conditions. The code should not have any comments.
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The code should look like Human typed code. The naming of the variables and other functions should be small and looks like human created code.
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Logic: {logic}
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Time Complexity: {time_complexity}
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Space Complexity: {space_complexity}
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Language: {language}
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or{others}
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"""
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response = model.generate_content(prompt)
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return response.text
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complexity_options = ["O(1)", "O(log N)", "O(N)", "O(N log N)", "O(N²)", "O(N³)", "O(2^N)", "O(N!)"]
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language_options = ["Python", "Java", "JavaScript", "C", "C++", "Others"]
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# Humanly Code Generator")
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gr.Markdown("## \n\n<style>h1, h2, h3, h4, h5, h6 { font-size: 40px !important; text-align:center !important; display: block !important;}</style>",label="")
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gr.Image("CodeBanner.gif",label="☀︎")
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with gr.Row():
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logic = gr.Textbox(label="Provide the logic for the code.")
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with gr.Row():
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time_complexity = gr.Radio(complexity_options, label="Time Complexity",
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info="Choose the Time Complexity for your code.")
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space_complexity = gr.Radio(complexity_options, label="Space Complexity",
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info="Choose the Space Complexity for your code.")
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with gr.Row():
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language = gr.Radio(language_options, label="Programming Language",
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info="Choose the programming language. If some other language then type in the next textbox.")
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others = gr.Textbox(label="Specify Language")
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output = gr.Markdown(label="Generated Code", )
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generate_button = gr.Button("Generate Code")
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generate_button.click(fn=generate_code,
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inputs=[logic, time_complexity, space_complexity, language, others],
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outputs=output)
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demo.launch()
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