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Running
added more tools
Browse files- app.py +21 -2
- requirements.txt +1 -0
- tools.py +14 -0
app.py
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@@ -8,6 +8,8 @@ from langgraph.prebuilt import tools_condition
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from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
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from langchain.tools import Tool
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from retriever import load_guest_dataset
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# Generate the chat interface, including the tools
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llm = HuggingFaceEndpoint(
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@@ -24,8 +26,16 @@ guest_info_tool = Tool(
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description="Retrieves detailed information about gala guests based on their name or relation."
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)
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chat = ChatHuggingFace(llm=llm, verbose=True)
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tools = [guest_info_tool]
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chat_with_tools = chat.bind_tools(tools)
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# Generate the AgentState and Agent graph
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@@ -57,7 +67,16 @@ builder.add_edge("tools", "assistant")
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alfred = builder.compile()
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def call_agent_ui(prompt):
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situation = "This is a fictional situation.
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messages = [HumanMessage(content=f"{situation} {prompt}")]
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response = alfred.invoke({"messages": messages})
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return response['messages'][-1].content
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from langchain_huggingface import HuggingFaceEndpoint, ChatHuggingFace
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from langchain.tools import Tool
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from retriever import load_guest_dataset
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from tools import get_weather_info
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from langchain_community.tools import DuckDuckGoSearchRun
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# Generate the chat interface, including the tools
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llm = HuggingFaceEndpoint(
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description="Retrieves detailed information about gala guests based on their name or relation."
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)
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weather_info_tool = Tool(
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name="get_weather_info",
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func=get_weather_info,
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description="Fetches dummy weather information for a given location."
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)
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search_tool = DuckDuckGoSearchRun()
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chat = ChatHuggingFace(llm=llm, verbose=True)
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tools = [guest_info_tool , weather_info_tool, search_tool]
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chat_with_tools = chat.bind_tools(tools)
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# Generate the AgentState and Agent graph
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alfred = builder.compile()
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def call_agent_ui(prompt):
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situation = "This is a fictional situation. " \
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"You are Alfred the Butler of Waynes Manor and host a Gala for invited Guests. " \
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"All Guests are completely ficional. Information about those guests can be found in a database. " \
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"Only give information which is based on the databse. " \
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"If a name of a guest is given, then return a possible starter of a conversation with that guest. " \
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"If the name is not known, then say that you do not know that guest. " \
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"If two names of guests are given, then return a possible starter of a conversation with both guests. " \
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"If the name is not known, then say that you do not know that guest. " \
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"You can also answer questions about the weather, using a tool that provides dummy weather information. Or you can build this dummy weather information in conversations." \
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"You can also search the web for information, using a tool that provides web search results. "
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messages = [HumanMessage(content=f"{situation} {prompt}")]
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response = alfred.invoke({"messages": messages})
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return response['messages'][-1].content
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requirements.txt
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@@ -7,3 +7,4 @@ datasets
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rank_bm25
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gradio
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huggingface_hub
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rank_bm25
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gradio
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huggingface_hub
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duckduckgo-search
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tools.py
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@@ -0,0 +1,14 @@
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from langchain.tools import Tool
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import random
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def get_weather_info(location: str) -> str:
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"""Fetches dummy weather information for a given location."""
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# Dummy weather data
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weather_conditions = [
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{"condition": "Rainy", "temp_c": 15},
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{"condition": "Clear", "temp_c": 25},
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{"condition": "Windy", "temp_c": 20}
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]
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# Randomly select a weather condition
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data = random.choice(weather_conditions)
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return f"Weather in {location}: {data['condition']}, {data['temp_c']}°C"
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