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| import streamlit as st | |
| import google.generativeai as genai | |
| # Streamlit app layout | |
| st.title('Personal Blog Writer') | |
| # Retrieve the API key from Streamlit secrets | |
| GOOGLE_API_KEY = st.secrets["GEMINI_API_KEY"] | |
| # Configure the Google Generative AI API with your API key | |
| genai.configure(api_key=GOOGLE_API_KEY) | |
| # Input field for the blog topic | |
| topic = st.text_area('Enter the Blog Topic:', placeholder='E.g., The Future of Artificial Intelligence') | |
| # Define a prompt template | |
| prompt_template = ( | |
| "Write a detailed blog about the topic: '{topic}'. " | |
| "Include an engaging introduction, key points with examples, and a thoughtful conclusion." | |
| ) | |
| # Button to generate blog content | |
| if st.button("Generate Blog"): | |
| if topic.strip(): # Ensure the topic is not empty | |
| try: | |
| # Generate the full prompt using the template | |
| full_prompt = prompt_template.format(topic=topic.strip()) | |
| # Initialize the generative model | |
| model = genai.GenerativeModel("gemini-1.5-flash") # Adjust the model as needed | |
| # Generate content based on the structured prompt | |
| response = model.generate_content(full_prompt) # Pass the prompt | |
| # Check if a valid response is received | |
| if response and hasattr(response, 'text'): | |
| st.subheader("Generated Blog Content:") | |
| st.write(response.text) # Display the generated text | |
| else: | |
| st.error("Error: Unable to generate blog content. Please try again.") | |
| except Exception as e: | |
| st.error(f"An error occurred: {e}") | |
| else: | |
| st.warning("Please enter a valid blog topic.") | |