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Update app.py
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app.py
CHANGED
@@ -3,11 +3,17 @@ import datetime
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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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# 1 - Timezone tool
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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@@ -28,7 +34,7 @@ def get_current_time_in_timezone(timezone: str) -> str:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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# 2
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@tool
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def generate_image_from_text(prompt: str) -> str:
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"""A tool that generates an image based on a text description.
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@@ -46,9 +52,10 @@ def generate_image_from_text(prompt: str) -> str:
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# Handle any errors that occur during image generation
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return f"Error generating image: {str(e)}"
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#
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@tool
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def search_web(query: str) -> str:
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@@ -58,7 +65,7 @@ def search_web(query: str) -> str:
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"""
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try:
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# Execute the search query using DuckDuckGo
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search_results =
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# Format and return the search results
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return f"Search results for '{query}':\n\n{search_results}"
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@@ -66,12 +73,38 @@ def search_web(query: str) -> str:
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# Handle any errors that occur during the search
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return f"Error searching the web: {str(e)}"
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#
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final_answer = FinalAnswerTool()
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#
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# If the agent does not answer, the model is overloaded
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# Alternative endpoint: 'https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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model = HfApiModel(
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@@ -80,26 +113,34 @@ model = HfApiModel(
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct', # Using Qwen 2.5 Coder model
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custom_role_conversions=None,
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)
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# Load External Tools
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# Import the image generation tool from Hugging Face Hub
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# This tool will be used by the generate_image_from_text function
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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# Load Prompt Templates
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# Load prompt templates from YAML file for consistent agent responses
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#
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agent = CodeAgent(
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model=model,
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tools=[
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get_current_time_in_timezone, # Tool 1: Time zone tool
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generate_image_from_text, # Tool 2: Image generation tool
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search_web, # Tool 3: Web search tool
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final_answer # Required final answer tool
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],
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max_steps=6, # Maximum number of reasoning steps
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description=None, # No custom agent description
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prompt_templates=prompt_templates # Using loaded prompt templates
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)
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#
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import requests
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import pytz
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import yaml
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import os
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import sys
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from tools.final_answer import FinalAnswerTool
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from tools.web_search import DuckDuckGoSearchTool
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from tools.visit_webpage import VisitWebpageTool
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from Gradio_UI import GradioUI
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# 1 - Timezone tool
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""A tool that fetches the current local time in a specified timezone.
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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# 2- Image generation
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@tool
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def generate_image_from_text(prompt: str) -> str:
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"""A tool that generates an image based on a text description.
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# Handle any errors that occur during image generation
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return f"Error generating image: {str(e)}"
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# 3 - WEB SEARCH TOOL - Using the existing DuckDuckGoSearchTool class
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# Initialize the DuckDuckGo search tool from the tools directory
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web_search_tool = DuckDuckGoSearchTool()
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@tool
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def search_web(query: str) -> str:
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"""
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try:
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# Execute the search query using DuckDuckGo
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search_results = web_search_tool(query)
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# Format and return the search results
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return f"Search results for '{query}':\n\n{search_results}"
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# Handle any errors that occur during the search
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return f"Error searching the web: {str(e)}"
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# FINAL ANSWER TOOL (REQUIRED)
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# Initialize the final answer tool - required for the agent to provide final answers
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final_answer = FinalAnswerTool()
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# VISIT WEBPAGE TOOL - From tools directory
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# Initialize the visit webpage tool
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visit_webpage = VisitWebpageTool()
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# TOOL INITIALIZATION AND VERIFICATION
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# Ensure all tools are properly loaded and print status
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print("Initializing tools...")
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try:
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# Import the image generation tool from Hugging Face Hub
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# This tool will be used by the generate_image_from_text function
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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print("✓ Image generation tool loaded successfully")
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except Exception as e:
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print(f"✗ Failed to load image generation tool: {str(e)}")
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# Provide a fallback if the image generation tool fails to load
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def image_generation_tool(prompt):
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return f"[MOCK IMAGE] Generated from prompt: {prompt}"
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print("✓ Time zone tool initialized")
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print("✓ Web search tool initialized")
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print("✓ Visit webpage tool initialized")
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print("✓ Final answer tool initialized")
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# MODEL CONFIGURATION
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print("Configuring model...")
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# If the agent does not answer, the model is overloaded
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# Alternative endpoint: 'https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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model = HfApiModel(
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model_id='Qwen/Qwen2.5-Coder-32B-Instruct', # Using Qwen 2.5 Coder model
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custom_role_conversions=None,
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)
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print("✓ Model configured successfully")
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# LOAD PROMPT TEMPLATES
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print("Loading prompt templates...")
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# Create an upload directory if it doesn't exist
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os.makedirs("uploads", exist_ok=True)
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# Load prompt templates from YAML file for consistent agent responses
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try:
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with open("prompts.yaml", 'r') as stream:
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prompt_templates = yaml.safe_load(stream)
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print("✓ Prompt templates loaded successfully")
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except Exception as e:
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print(f"✗ Failed to load prompt templates: {str(e)}")
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# Provide default empty templates if loading fails
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prompt_templates = {}
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# AGENT CONFIGURATION
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print("Configuring agent...")
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agent = CodeAgent(
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model=model,
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tools=[
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get_current_time_in_timezone, # Tool 1: Time zone tool
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generate_image_from_text, # Tool 2: Image generation tool
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search_web, # Tool 3: Web search tool
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visit_webpage, # Tool 4: Visit webpage tool (added from tools directory)
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final_answer # Required final answer tool
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],
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max_steps=6, # Maximum number of reasoning steps
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description=None, # No custom agent description
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prompt_templates=prompt_templates # Using loaded prompt templates
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)
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print("✓ Agent configured successfully")
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# LAUNCH THE GRADIO UI
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print("Launching Gradio UI...")
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# Start the Gradio interface with our configured agent and file upload directory
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GradioUI(agent, file_upload_folder="uploads").launch(debug=True)
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