fix : files cleaned

ai_agent_tutorials/ai_breakup_recovery_agent/agents.py

@@ -2,8 +2,6 @@ from agno.agent import Agent
 from agno.team.team import Team
 from agno.models.google import Gemini
 from agno.tools.duckduckgo import DuckDuckGoTools
-from PIL import Image
-import easyocr
 import os
 
 # --- Therapist Agent ---
@@ -22,7 +20,7 @@ def create_therapist_agent():
             api_key=os.environ.get("GEMINI_API_KEY")
         ),
         tools=[DuckDuckGoTools()],
-        add_datetime_to_instructions=True,     # Add timestamp context
+        add_datetime_to_instructions=True,   
         show_tool_calls=True,
         markdown=True
     )
@@ -43,7 +41,7 @@ def create_closure_agent():
             api_key=os.environ.get("GEMINI_API_KEY")
         ),
         tools=[DuckDuckGoTools()],
-        add_datetime_to_instructions=True,    # Add timestamp context
+        add_datetime_to_instructions=True,    
         show_tool_calls=True,
         markdown=True
     )
@@ -85,7 +83,6 @@ def create_honesty_agent():
             "Include reasons why the user should move on, based on the situation.",
             "Format the output clearly with a header: **Brutal Honesty**",
         ],
-        # model=Gemini(id="gemini-2.0-flash"),
         model=Gemini(
             id="gemini-2.0-flash",
             api_key=os.environ.get("GEMINI_API_KEY")
@@ -96,23 +93,11 @@ def create_honesty_agent():
         markdown=True
     )
 
-
-# # --- Texts Analyzer Agent (Updated with easyocr) ---
-# def extract_text_with_easyocr(image):
-#     """Extract text from image using EasyOCR."""
-#     reader = easyocr.Reader(['en'])  # Specify language
-#     results = reader.readtext(image)
-
-#     # Extract and combine text
-#     extracted_text = " ".join([result[1] for result in results])
-#     return extracted_text
-
 # --- Team Leader (Breakup Recovery Team) ---
 def create_breakup_team():
     return Team(
         name="Breakup Recovery Team",
         mode="coordinate",  # Team execution mode: coordinate or parallel
-        # model=Gemini(id="gemini-2.0-flash"),
         model=Gemini(
             id="gemini-2.0-flash",
             api_key=os.environ.get("GEMINI_API_KEY")
@@ -120,9 +105,8 @@ def create_breakup_team():
         members=[
             create_therapist_agent(),
             create_closure_agent(),
-            create_routine_agent(),   # Added Routine Planner Agent
+            create_routine_agent(),   
-            create_honesty_agent(),   # Added Brutal Honesty Agent
+            create_honesty_agent(),  
-            # extract_text_with_easyocr()
         ],
         description="You are a team helping someone recover from a breakup.",
         instructions=[

ai_agent_tutorials/ai_breakup_recovery_agent/image_input.py

@@ -3,7 +3,6 @@ from agno.media import Image
 from agno.models.google import Gemini
 from agno.tools.duckduckgo import DuckDuckGoTools
 from PIL import Image as PILImage
-import base64
 from io import BytesIO
 import os
 
@@ -19,13 +18,6 @@ def load_image(image_data):
     
     return img_bytes
 
-# # Check for Google API key
-# if "GOOGLE_API_KEY" not in os.environ:
-#     raise EnvironmentError(
-#         "Please set your GOOGLE_API_KEY environment variable. "
-#         "You can get one from https://makersuite.google.com/app/apikey"
-#     )
-
 def create_chat_analysis_agent():
     """Creates a specialized agent for analyzing chat patterns"""
     return Agent(
@@ -68,19 +60,3 @@ def analyze_chat_screenshot(image_data):
         
     except Exception as e:
         return f"Error analyzing chat screenshot: {str(e)}"
-
-# Example local image path - replace with your image path
-image_path = "breakup.jpg"
-
-try:
-    # Load and process the image
-    image_data = load_image(image_path)
-    
-    # Create the response using the agent
-    agent.print_response(
-        "Tell me about this image and give me the latest news about it.",
-        images=[Image(content=image_data)],
-        stream=True,
-    )
-except Exception as e:
-    print(f"Error processing image: {e}")