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Create interm.py
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interm.py
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import streamlit as st
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
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from io import BytesIO
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# Initialize the content generation agent with DuckDuckGo tool
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content_agent = CodeAgent(
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tools=[DuckDuckGoSearchTool()],
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model=HfApiModel()
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)
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# Function to display agent activity
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def display_agent_activity(prompt, result):
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st.write("### Agent Activity:")
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st.write("**Prompt Sent to Agent:**")
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st.code(prompt, language="text")
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st.write("**Agent Output:**")
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st.code(result, language="text")
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# Function to enhance generated content
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def enhance_content(content):
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return f"{content}\n\n---\nGenerated with insights and enhanced formatting."
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# Function to save content as a downloadable text file
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def generate_text_download(content, filename="generated_blog.txt"):
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b = BytesIO()
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b.write(content.encode())
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b.seek(0)
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return b, filename
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# Function to save content as a downloadable PDF
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def generate_pdf_download(content, filename="generated_blog.pdf"):
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from fpdf import FPDF
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pdf = FPDF()
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pdf.add_page()
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pdf.set_font("Arial", size=12)
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pdf.multi_cell(0, 10, content)
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b = BytesIO()
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pdf.output(b)
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b.seek(0)
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return b, filename
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# Streamlit app title
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st.title("SmolAgent Content Writer")
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# Tabs for the interface
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tabs = st.tabs(["Generate Content", "Agent Activity", "Download Options"])
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# Tab 1: Generate Content
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with tabs[0]:
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st.header("Generate Content")
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st.write("Generate high-quality blog content enriched with real-time insights using SmolAgent.")
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# Input field for blog topic or prompt
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blog_prompt = st.text_area("Enter your blog topic or prompt:", placeholder="E.g., The Future of Technology in Healthcare")
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# Input field for choosing content tone
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tone = st.selectbox("Choose the tone of the content:", ["Professional", "Casual", "Persuasive", "Informative"])
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# Option to include a summary
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include_summary = st.checkbox("Include a summary of the generated content")
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# Button to trigger blog content generation
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if st.button("Generate Blog Content"):
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if blog_prompt:
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with st.spinner("Generating blog content, please wait..."):
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try:
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# Generate blog content using the agent
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blog_result = content_agent.run(f"{blog_prompt}\nTone: {tone}")
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# Optionally enhance the content
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blog_result = enhance_content(blog_result)
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# Display the generated blog content
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st.subheader("Generated Blog Content")
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st.write(blog_result)
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# Display a summary if requested
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if include_summary:
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summary_prompt = f"Summarize this content:\n{blog_result}"
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summary_result = content_agent.run(summary_prompt)
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st.subheader("Content Summary")
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st.write(summary_result)
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# Store result for download
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st.session_state["last_content"] = blog_result
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except Exception as e:
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st.error("An error occurred while generating content. Please try again.")
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else:
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st.warning("Please enter a valid blog topic or prompt.")
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# Tab 2: Agent Activity
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with tabs[1]:
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st.header("Agent Activity")
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if "last_content" in st.session_state:
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display_agent_activity(blog_prompt, st.session_state["last_content"])
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else:
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st.write("No recent activity to display.")
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# Tab 3: Download Options
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with tabs[2]:
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st.header("Download Options")
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if "last_content" in st.session_state:
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content = st.session_state["last_content"]
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# Text file download
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text_file, text_filename = generate_text_download(content)
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st.download_button(label="Download as Text File", data=text_file, file_name=text_filename, mime="text/plain")
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# PDF file download
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pdf_file, pdf_filename = generate_pdf_download(content)
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st.download_button(label="Download as PDF", data=pdf_file, file_name=pdf_filename, mime="application/pdf")
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else:
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st.write("No content available for download. Generate content first.")
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