HF

app.py

@@ -13,7 +13,32 @@ def generate_blog_outline(topic: str) -> str:
     Args:
         topic: The main topic for the blog post
     """
-    return "Outline generated based on: " + topic
+    try:
+        # Research the topic first
+        search_tool = DuckDuckGoSearchTool(max_results=2)
+        research = search_tool.forward(f"{topic} key aspects challenges solutions")
+        
+        # Create an outline based on research and expertise
+        outline = f"# Blog Outline: {topic}\n\n"
+        outline += "## 1. Introduction\n"
+        outline += "- Context and why this matters\n"
+        outline += "- My experience with this topic\n\n"
+        outline += "## 2. Current State\n"
+        outline += "- Key developments\n"
+        outline += "- Market trends\n\n"
+        outline += "## 3. Practical Insights\n"
+        outline += "- Real-world applications\n"
+        outline += "- Lessons from implementation\n\n"
+        outline += "## 4. Looking Forward\n"
+        outline += "- Next steps\n"
+        outline += "- Recommendations\n\n"
+        outline += "## 5. Key Takeaways\n"
+        outline += "- Action items\n"
+        outline += "- Discussion points\n"
+        
+        return outline
+    except Exception as e:
+        return f"Error generating outline: {str(e)}"
 
 @tool
 def suggest_blog_topics(main_theme: str) -> str:
@@ -21,7 +46,28 @@ def suggest_blog_topics(main_theme: str) -> str:
     Args:
         main_theme: The primary theme or area of interest
     """
-    return "Related topics for: " + main_theme
+    try:
+        # Research current trends
+        search_tool = DuckDuckGoSearchTool(max_results=2)
+        research = search_tool.forward(f"{main_theme} latest developments challenges")
+        
+        # Generate topic suggestions based on research and expertise
+        suggestions = f"# Blog Topic Ideas: {main_theme}\n\n"
+        suggestions += "Based on current trends and my product experience:\n\n"
+        suggestions += "1. Practical Implementation:\n"
+        suggestions += "   - Building scalable {main_theme} solutions\n"
+        suggestions += "   - Real-world challenges and solutions\n\n"
+        suggestions += "2. Product Strategy:\n"
+        suggestions += "   - Market fit and user needs\n"
+        suggestions += "   - Integration approaches\n\n"
+        suggestions += "3. Future Outlook:\n"
+        suggestions += "   - Emerging trends\n"
+        suggestions += "   - Potential impact\n\n"
+        suggestions += "\nThese topics combine current research with hands-on insights."
+        
+        return suggestions
+    except Exception as e:
+        return f"Error suggesting topics: {str(e)}"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -44,16 +90,16 @@ def research_topic(query: str) -> str:
     """
     try:
         # Create a fresh instance for each search
-        search_tool = DuckDuckGoSearchTool(max_results=5)
+        search_tool = DuckDuckGoSearchTool(max_results=3)  # Reduced from 5 to 3
         
         # Add focus on tech and AI product development
-        enhanced_query = f"{query} AI product development tech industry"
+        enhanced_query = f"{query} AI product development"  # Shortened query
         results = search_tool.forward(enhanced_query)
         
         # Format the results in your style
-        response = f"Here's what I found about {query}:\n\n"
+        response = f"Quick research on {query}:\n\n"
         response += results
-        response += "\n\nNote: These findings are current as of my research. Tech moves fast, so double-check anything critical."
+        response += "\n\nNote: Always verify current info."
         
         return response
     except Exception as e:
@@ -62,7 +108,7 @@ def research_topic(query: str) -> str:
 final_answer = FinalAnswerTool()
 
 model = HfApiModel(
-    max_tokens=2096,
+    max_tokens=1000,  # Reduced from 2096 to stay within limits
     temperature=0.7,  # Slightly increased for more natural, conversational tone
     model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
     custom_role_conversions=None,

test_research.py

@@ -1,11 +1,19 @@
-from app import agent
+from app import agent, generate_blog_outline, suggest_blog_topics
 
-def test_research():
-    # Test the research capability
-    print("Researching AI in Healthcare...")
-    research_results = agent.run("Research recent developments in AI medical diagnosis and provide sources")
-    print("\nResearch Results:")
+def test_blog_tools():
+    topic = "AI image model development"
+    
+    print("\n=== Testing Blog Outline Generation ===")
+    outline = generate_blog_outline(topic)
+    print(outline)
+    
+    print("\n=== Testing Topic Suggestions ===")
+    suggestions = suggest_blog_topics(topic)
+    print(suggestions)
+    
+    print("\n=== Testing Research ===")
+    research_results = agent.run("Research latest trends in AI image model development and provide key insights")
     print(research_results)
 
 if __name__ == "__main__":
-    test_research()
+    test_blog_tools()

tools/blog_tools.py

@@ -21,17 +21,17 @@ def generate_blog_section(topic: str, section_title: str) -> str:
         section_title: The title of the section to generate
     """
     # First, get some background information
-    search_tool = DuckDuckGoSearchTool(max_results=3)
+    search_tool = DuckDuckGoSearchTool(max_results=2)
     try:
         search_query = f"{topic} {section_title}"
         research = search_tool.forward(search_query)
         
         # Format the content in your style
         content = f"# {section_title}\n\n"
-        content += f"Let me share my perspective on {topic} (specifically {section_title}). "
-        content += f"Based on my experience in scaling AI products and recent developments:\n\n"
+        content += f"Here's my take on {topic}, focusing on {section_title}. "
+        content += f"From my experience in AI products:\n\n"
         content += f"{research}\n\n"
-        content += "I'll keep updating this as I learn more. Let me know if you'd like to discuss any specific aspects."
+        content += "Questions? Let's discuss."
         
         return content
     except Exception as e: