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| import streamlit as st | |
| import google.generativeai as genai | |
| import os | |
| # Retrieve the API key from environment variables | |
| api_key = os.getenv("google_api_key") | |
| # Check if API key is provided | |
| if not api_key: | |
| st.error("API key is not set. Please set the GOOGLE_API_KEY environment variable.") | |
| else: | |
| # Configure Google Gemini API | |
| genai.configure(api_key=api_key) | |
| # Sidebar for input questions | |
| st.sidebar.title("Prompt Engineering for AI Application") | |
| # 1. Functionality of the AI application | |
| functionality = st.sidebar.text_input( | |
| "What specific functionality do you want the AI application to have?", | |
| placeholder="e.g., image classification, text generation" | |
| ) | |
| # 2. Preferred programming language or framework | |
| language = st.sidebar.text_input( | |
| "What programming language or framework do you prefer to use?", | |
| placeholder="e.g., Python, TensorFlow" | |
| ) | |
| # 3. Specific libraries, tools, or models | |
| libraries = st.sidebar.text_input( | |
| "Are there any specific libraries, tools, or models you want to integrate?", | |
| placeholder="e.g., OpenAI's GPT, Whisper" | |
| ) | |
| # 4. Input data or format | |
| input_data = st.sidebar.text_input( | |
| "What input data or format will the application work with?", | |
| placeholder="e.g., text, images" | |
| ) | |
| # 5. Specific requirements or constraints | |
| requirements = st.sidebar.text_input( | |
| "Do you have any specific requirements or constraints for the output?", | |
| placeholder="e.g., performance, accuracy" | |
| ) | |
| # Combine the user inputs into a prompt | |
| prompt = f""" | |
| Write a code to develop an AI application with the following details: | |
| - Functionality: {functionality} | |
| - Programming language or framework: {language} | |
| - Specific libraries, tools, or models: {libraries} | |
| - Input data or format: {input_data} | |
| - Specific requirements or constraints: {requirements} | |
| """ | |
| # Main content | |
| st.title("AI Code Generator using Google's Gemini Model") | |
| st.write("Fill out the details in the sidebar to generate a proper prompt.") | |
| if st.sidebar.button("Generate Code"): | |
| model = genai.GenerativeModel('gemini-1.5-flash') | |
| response = model.generate_content(prompt) | |
| st.subheader("Generated Code:") | |
| st.code(response.text, language='python') | |
| # Footer | |
| st.sidebar.write("---") | |
| st.sidebar.write("This application helps you generate a prompt to write code for an AI application.") | |