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Update app.py
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app.py
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@@ -7,7 +7,7 @@ from typing import List
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from langchain.text_splitter import CharacterTextSplitter
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from tools.final_answer import FinalAnswerTool
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from smolagents import CodeAgent, DuckDuckGoSearchTool, load_tool, tool
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from Gradio_UI import GradioUI
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# === TOOLS ===
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@@ -22,7 +22,6 @@ def web_search(query: str) -> str:
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results = search_tool(query)
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return "\n".join(results)
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""Fetches the current local time in a specified timezone.
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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@tool
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def visit_webpage(url: str) -> str:
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"""Fetches raw HTML content of a web page.
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Args:
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url: The url of the webpage
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"""
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try:
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response = requests.get(url, timeout=5)
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return response.text[:5000]
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except Exception as e:
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return f"[ERROR fetching {url}]: {str(e)}"
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@tool
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def text_splitter(text: str) -> List[str]:
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"""Splits text into chunks using LangChain's CharacterTextSplitter.
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Args:
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text: A string of text to split.
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"""
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return
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# === FINAL ANSWER TOOL ===
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final_answer = FinalAnswerTool()
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# === LOAD
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with open("agent.json", "r") as f:
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agent_config = yaml.safe_load(f)
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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# === AGENT ===
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agent = CodeAgent(
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model=model,
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tools=[
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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@@ -98,5 +104,4 @@ agent = CodeAgent(
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)
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# === LAUNCH UI ===
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GradioUI(agent).launch()
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from langchain.text_splitter import CharacterTextSplitter
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from tools.final_answer import FinalAnswerTool
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
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from Gradio_UI import GradioUI
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# === TOOLS ===
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results = search_tool(query)
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return "\n".join(results)
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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"""Fetches the current local time in a specified timezone.
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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@tool
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def visit_webpage(url: str) -> str:
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"""Fetches raw HTML content of a web page.
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Args:
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url: The url of the webpage.
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"""
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try:
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response = requests.get(url, timeout=5)
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return response.text[:5000] # Limit length
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except Exception as e:
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return f"[ERROR fetching {url}]: {str(e)}"
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@tool
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def text_splitter(text: str) -> List[str]:
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"""Splits text into chunks using LangChain's CharacterTextSplitter.
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Args:
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text: A string of text to split.
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"""
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splitter = CharacterTextSplitter(chunk_size=450, chunk_overlap=10)
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return splitter.split_text(text)
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# === FINAL ANSWER TOOL ===
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final_answer = FinalAnswerTool()
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# === LOAD PROMPT TEMPLATES ===
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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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# === LOAD agent.json CONFIG ===
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with open("agent.json", "r") as f:
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agent_config = yaml.safe_load(f)
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model_config = agent_config["model"]["data"]
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# === BUILD MODEL MANUALLY (SAFE FALLBACK) ===
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model = HfApiModel(
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model_id=model_config["model_id"],
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token=os.getenv("HF_TOKEN"), # Injected securely from Space secret
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temperature=model_config.get("temperature", 0.5),
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max_tokens=model_config.get("max_tokens", 2048),
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last_input_token_count=model_config.get("last_input_token_count", 0),
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last_output_token_count=model_config.get("last_output_token_count", 0),
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custom_role_conversions=model_config.get("custom_role_conversions", None),
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)
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# === IMPORT TOOL FROM HUB ===
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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# === BUILD AGENT ===
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agent = CodeAgent(
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model=model,
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tools=[
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final_answer,
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web_search,
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get_current_time_in_timezone,
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visit_webpage,
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text_splitter,
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image_generation_tool
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],
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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)
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# === LAUNCH UI ===
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GradioUI(agent).launch()
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