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import streamlit as st |
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from src.components.process import all_crew |
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from dotenv import load_dotenv |
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load_dotenv() |
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class ContentGenerationUI: |
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def generate_content(self, topic): |
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inputs = { |
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"topic": topic |
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} |
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result = all_crew.kickoff(inputs=inputs) |
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return result |
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def content_generation(self): |
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if st.session_state.generating: |
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st.session_state.content_generator = self.generate_content( |
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st.session_state.topic) |
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if st.session_state.content_generator and st.session_state.content_generator != "": |
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with st.container(): |
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st.write("Content generated successfully!") |
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st.download_button( |
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label="Download Markdown file", |
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data=st.session_state.content_generator, |
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file_name="content_generate.md", |
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mime="text/markdown" |
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) |
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st.session_state.generating = False |
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def sidebar(self): |
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with st.sidebar: |
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st.title("Content Generator Tool") |
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st.write("This workflow should autonomously process input topics, conduct research, plan content, generate images, optimize for SEO, and perform final editorial checks.") |
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topic = st.text_area( |
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label="Enter the topic: ", |
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placeholder="Enter the name of the topic to generate the article", |
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key="topic", |
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height=175 |
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) |
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st.write(f'You wrote {len(topic.split())} words.') |
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if st.button("Generate Content"): |
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st.session_state.generating = True |
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def render(self): |
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st.set_page_config(page_title="Content Generation", page_icon="📃") |
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tab1, tab2 = st.tabs(["Output", "About Project"]) |
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self.sidebar() |
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with tab2: |
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st.markdown("# About project") |
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st.write( |
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""" |
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### Project Description |
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Implementing a scalable content team using AI involves creating a framework that blends the strengths of AI technologies with the creative and supervisory capabilities of human team members. This strategy aims to enhance efficiency, creativity, and content output quality. |
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This code is a high-level conceptualization and would require adaptation to fit the actual CrewAI framework and toolset specifics. It illustrates how different AI agents, equipped with specialized roles and tools, can collaborate within a content creation process. Each agent focuses on a key area—research, writing, and SEO—streamlining the content development workflow and enhancing output quality through specialized AI-driven tasks. |
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### Objective |
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Implement a content generation workflow using the Crew AI framework. This workflow should autonomously process input topics, conduct research, plan content, generate images, optimize for SEO, and perform final editorial checks. |
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### Tools and Frameworks: |
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* Crew AI framework |
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* Streamlit - User Interface(UI) |
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* Python for scripting |
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* AI models or APIs (e.g., `gemini-pro` for content, `stable-diffusion-xl-base` for images) |
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### Prerequisites |
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To complete this project, you should understand Python programming, data manipulation, visualization libraries such as Pandas and Matplotlib, and machine learning libraries such as Scikit-Learn. Additionally, some background knowledge of natural language processing (NLP) techniques and generate text to image and image to text methods would be helpful. |
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### Resources |
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- Live demo link: [Content Generate - WebApp]() |
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- Check out [CrewAI](https://docs.crewai.com/) |
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- Project code [GitHub](https://github.com/Bhavik-Jikadara/Content-Generation-Workflow) |
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""" |
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) |
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with tab1: |
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if "topic" not in st.session_state: |
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st.session_state.topic = "" |
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if "content_generator" not in st.session_state: |
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st.session_state.content_generator = "" |
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if "generating" not in st.session_state: |
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st.session_state.generating = False |
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self.content_generation() |
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if __name__ == "__main__": |
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ContentGenerationUI().render() |
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