working agent for blog writting
Browse files- .gradio/certificate.pem +31 -0
- __pycache__/Gradio_UI.cpython-312.pyc +0 -0
- __pycache__/app.cpython-312.pyc +0 -0
- app.py +6 -1
- requirements.txt +4 -0
- run_blog_agent.py +11 -0
- tools/__pycache__/blog_tools.cpython-312.pyc +0 -0
- tools/__pycache__/final_answer.cpython-312.pyc +0 -0
- tools/blog_tools.py +52 -0
- tools/final_answer.py +1 -1
.gradio/certificate.pem
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-----BEGIN CERTIFICATE-----
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MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
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-----END CERTIFICATE-----
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__pycache__/Gradio_UI.cpython-312.pyc
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Binary file (12 kB). View file
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__pycache__/app.cpython-312.pyc
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Binary file (2.93 kB). View file
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app.py
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@@ -4,6 +4,7 @@ import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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@tool
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final_answer,
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generate_blog_outline,
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suggest_blog_topics,
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get_current_time_in_timezone
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],
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max_steps=6,
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verbosity_level=1,
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from tools.blog_tools import generate_blog_section, improve_writing_style, check_readability, generate_seo_metadata
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from Gradio_UI import GradioUI
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@tool
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final_answer,
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generate_blog_outline,
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suggest_blog_topics,
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get_current_time_in_timezone,
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generate_blog_section,
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improve_writing_style,
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check_readability,
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generate_seo_metadata
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],
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max_steps=6,
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verbosity_level=1,
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requirements.txt
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@@ -3,3 +3,7 @@ smolagents
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requests
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duckduckgo_search
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pandas
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requests
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duckduckgo_search
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pandas
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gradio
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pytz
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pyyaml
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transformers
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run_blog_agent.py
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from app import agent
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from Gradio_UI import GradioUI
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# Create the Gradio interface
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ui = GradioUI(agent)
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# Launch the interface
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if __name__ == "__main__":
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print("Starting Blog Writing Assistant...")
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print("Access the interface in your web browser...")
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ui.launch(share=True)
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tools/__pycache__/blog_tools.cpython-312.pyc
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Binary file (2.52 kB). View file
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tools/__pycache__/final_answer.cpython-312.pyc
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tools/blog_tools.py
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from smolagents import tool
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from typing import List, Dict
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import re
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@tool
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def generate_blog_section(topic: str, section_title: str) -> str:
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"""Generates content for a specific section of the blog post
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Args:
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topic: The main topic of the blog post
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section_title: The title of the section to generate
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"""
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return f"Generated content for section '{section_title}' about {topic}"
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@tool
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def improve_writing_style(text: str, style: str = "professional") -> str:
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"""Improves the writing style of the given text
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Args:
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text: The text to improve
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style: The desired writing style (e.g., professional, casual, academic)
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"""
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return f"Improved version of the text in {style} style"
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@tool
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def check_readability(text: str) -> Dict:
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"""Analyzes the readability of the text
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Args:
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text: The text to analyze
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"""
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# Simple implementation - you can make this more sophisticated
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words = len(text.split())
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sentences = len(re.split(r'[.!?]+', text))
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avg_words_per_sentence = words / max(sentences, 1)
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return {
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"word_count": words,
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"sentence_count": sentences,
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"avg_words_per_sentence": avg_words_per_sentence,
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"readability_score": "Good" if avg_words_per_sentence < 20 else "Complex"
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}
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@tool
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def generate_seo_metadata(title: str, content: str) -> Dict:
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"""Generates SEO metadata for the blog post
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Args:
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title: The blog post title
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content: The blog post content
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"""
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return {
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"meta_description": f"An informative article about {title}",
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"keywords": [word.lower() for word in title.split()],
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"suggested_title_tags": [f"<h1>{title}</h1>"]
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}
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tools/final_answer.py
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from smolagents.tools import Tool
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class FinalAnswerTool(Tool):
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name = "final_answer
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description = "Provides a final answer to the given problem."
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inputs = {'answer': {'type': 'any', 'description': 'The final answer to the problem'}}
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output_type = "any"
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from smolagents.tools import Tool
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class FinalAnswerTool(Tool):
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name = "final_answer"
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description = "Provides a final answer to the given problem."
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inputs = {'answer': {'type': 'any', 'description': 'The final answer to the problem'}}
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output_type = "any"
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