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Update app.py
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app.py
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import streamlit as st
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from crewai import Agent, Task, Crew, Process
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from crewai_tools import WebsiteSearchTool
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from dotenv import load_dotenv
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import os
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# Load environment variables
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load_dotenv()
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# Streamlit App
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st.title("Blog Generator with AI")
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st.sidebar.header("Input")
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# OpenAI API key input
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user_api_key = st.sidebar.text_input("Enter your OpenAI API Key", type="password")
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news_link = st.sidebar.text_input("Enter News Link", "")
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generate_blog = st.sidebar.button("Generate Blog")
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if generate_blog:
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if user_api_key:
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# Set the OpenAI API key dynamically
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os.environ["OPENAI_API_KEY"] = user_api_key
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if news_link:
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st.info("Fetching and processing the news...")
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# Define tools
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web_tool = WebsiteSearchTool()
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# Create agents
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blog_researcher = Agent(
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role='AI Blog Researcher from News Website',
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goal='Get the relevant latest AI related news from News Website',
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verbose=True,
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memory=True,
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backstory=("Expert in understanding videos in AI, Data Science, Machine Learning, and GEN AI."),
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tools=[web_tool],
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allow_delegation=True
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)
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blog_writer = Agent(
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role='Blog Writer',
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goal='Narrate compelling tech stories about the News Article and add the reference links at the end of the blog.',
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verbose=True,
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memory=True,
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backstory=(
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"With a flair for simplifying complex topics, you craft engaging narratives that captivate and educate,"
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"bringing new discoveries to light in an accessible manner."
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),
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tools=[web_tool],
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allow_delegation=False
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)
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# Define tasks
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research_task = Task(
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description=(
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"Identify the News Article and get detailed information about the News from the website."
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),
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expected_output='A comprehensive 3-paragraph-long report based on the {topic} of News.',
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tools=[web_tool],
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agent=blog_researcher,
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)
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write_task = Task(
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description=(
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"Get the info from the News Website on the topic {topic}."
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),
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expected_output='Summarize the info from the News website on the topic {topic} and create the content for the blog.',
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tools=[web_tool],
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agent=blog_writer,
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async_execution=False,
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output_file="" # Provide an empty string or valid file path
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)
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# Create crew
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crew = Crew(
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agents=[blog_researcher, blog_writer],
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tasks=[research_task, write_task],
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process=Process.sequential,
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memory=True,
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cache=True,
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max_rpm=100,
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share_crew=True
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)
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# Kickoff the process and fetch the result
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try:
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result = crew.kickoff(inputs={'topic': news_link})
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# Inspect result attributes for debugging
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st.subheader("Result Attributes")
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st.write(dir(result))
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# Access task outputs
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try:
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task_outputs = result.tasks_output
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except AttributeError:
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st.error("The result object does not have 'tasks_output'.")
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task_outputs = []
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# Display task outputs
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st.subheader("Task Outputs")
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for idx, task_output in enumerate(task_outputs):
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st.write(f"Task {idx + 1}:")
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st.json(task_output)
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# Extract blog content
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try:
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blog_content = task_outputs[1].raw
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except (IndexError, AttributeError):
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blog_content = "Unable to fetch blog content from the task outputs."
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# Display the blog content
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st.subheader("Generated Blog")
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st.text_area("Blog Content", value=blog_content, height=400)
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# Actions to save or reject the blog
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st.subheader("Actions")
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save_blog = st.button("Save Blog")
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reject_blog = st.button("Reject Blog")
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if save_blog:
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with open("saved_blog.txt", "w") as f:
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f.write(blog_content)
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st.success("Blog file saved successfully!")
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if reject_blog:
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st.warning("Blog rejected. No file was saved.")
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except Exception as e:
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st.error(f"An error occurred during the process: {e}")
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else:
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st.error("Please enter a valid news link.")
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else:
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st.error("Please provide your OpenAI API Key.")
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