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Update app.py
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app.py
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@@ -2,65 +2,69 @@ import streamlit as st
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import google.generativeai as genai
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import os
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#
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os.
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#
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# Sidebar for input questions
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st.sidebar.title("Prompt Engineering for AI Application")
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# 1. Functionality of the AI application
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functionality = st.sidebar.text_input(
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)
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# 2. Preferred programming language or framework
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language = st.sidebar.text_input(
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)
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# 3. Specific libraries, tools, or models
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libraries = st.sidebar.text_input(
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)
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# 4. Input data or format
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input_data = st.sidebar.text_input(
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)
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# 5. Specific requirements or constraints
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requirements = st.sidebar.text_input(
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)
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# Combine the user inputs into a prompt
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prompt = f"""
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Write a code to develop an AI application with the following details:
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- Functionality: {functionality}
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- Programming language or framework: {language}
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- Specific libraries, tools, or models: {libraries}
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- Input data or format: {input_data}
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- Specific requirements or constraints: {requirements}
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"""
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# Main content
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st.title("AI Code Generator using Google's Gemini Model")
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st.write("Fill out the details in the sidebar to generate a proper prompt.")
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if st.sidebar.button("Generate Code"):
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# Footer
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st.sidebar.write("---")
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st.sidebar.write("This application helps you generate a prompt to write code for an AI application.")
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import google.generativeai as genai
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import os
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# Retrieve the API key from environment variables
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api_key = os.getenv("GOOGLE_API_KEY")
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# Check if API key is provided
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if not api_key:
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st.error("API key is not set. Please set the GOOGLE_API_KEY environment variable.")
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else:
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# Configure Google Gemini API
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genai.configure(api_key=api_key)
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# Sidebar for input questions
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st.sidebar.title("Prompt Engineering for AI Application")
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# 1. Functionality of the AI application
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functionality = st.sidebar.text_input(
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"What specific functionality do you want the AI application to have?",
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placeholder="e.g., image classification, text generation"
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)
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# 2. Preferred programming language or framework
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language = st.sidebar.text_input(
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"What programming language or framework do you prefer to use?",
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placeholder="e.g., Python, TensorFlow"
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)
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# 3. Specific libraries, tools, or models
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libraries = st.sidebar.text_input(
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"Are there any specific libraries, tools, or models you want to integrate?",
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placeholder="e.g., OpenAI's GPT, Whisper"
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)
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# 4. Input data or format
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input_data = st.sidebar.text_input(
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"What input data or format will the application work with?",
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placeholder="e.g., text, images"
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)
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# 5. Specific requirements or constraints
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requirements = st.sidebar.text_input(
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"Do you have any specific requirements or constraints for the output?",
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placeholder="e.g., performance, accuracy"
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)
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# Combine the user inputs into a prompt
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prompt = f"""
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Write a code to develop an AI application with the following details:
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- Functionality: {functionality}
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- Programming language or framework: {language}
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- Specific libraries, tools, or models: {libraries}
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- Input data or format: {input_data}
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- Specific requirements or constraints: {requirements}
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"""
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# Main content
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st.title("AI Code Generator using Google's Gemini Model")
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st.write("Fill out the details in the sidebar to generate a proper prompt.")
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if st.sidebar.button("Generate Code"):
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model = genai.GenerativeModel('gemini-1.5-flash')
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response = model.generate_content(prompt)
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st.subheader("Generated Code:")
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st.code(response.text, language='python')
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# Footer
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st.sidebar.write("---")
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st.sidebar.write("This application helps you generate a prompt to write code for an AI application.")
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