Update app.py

app.py

@@ -94,11 +94,19 @@ Substract(a: int|float, b: int|float) -> float:
         
 """
     previous_message = state["messages"]
-    sys_msg = SystemMessage(content=f"You are an helpful agent that can analyse some images and run some computatio without provided tools :\n{textual_description_of_tool} \n You have access to some otpional images. Currently the loaded images is : {image}")
+    sys_msg = SystemMessage(content=f"""You are an helpful agent, that can analyse the given quetion and run some computation with provided tools 
+    :\n{textual_description_of_tool} \n I will ask you a question. Report your thoughts, and finish your answer with the following template: [YOUR FINAL ANSWER].
+    YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings.
+    If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. 
+    If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. 
+    If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.""")
 
     return {"messages": [llm_with_tools.invoke([sys_msg] + state["messages"])], "input_file": state["input_file"]}
 
 ################ state
+from langgraph.graph import START, StateGraph
+from langgraph.prebulit import ToolNode, tools_conditions
+
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
@@ -108,12 +116,29 @@ class BasicAgent:
         # self.visionLLM = ChatOpenAI(model="gpt-4o",api_key=api_key) # multi-modal LLM
         self.LLM = ChatOpenAI(model="gpt-4o",api_key=api_key) # manager LLM
         self.LLM_with_tools = self.LLM.bind_tools(tools, parallel_tool_calls=False)
-)
+        # Graph
+        self.Builder = StateGraph(AgentState)
+        # Define nodes: these do the work
+        self.Builder.add_node("assistant", assistant)
+        self.Builder.add_node("tools",ToolNode(tools))
+        # Define edges: these determine how the control flow moves
+        self.Builder.add_edge(START,"assistant")
+        # if state says "tools":
+        #     go to tools node
+        # else:
+        #     go to END node
+        self.Builder.add_conditional_edges("assistant",tools_conditions)
+        self.Builder.add_edge("tools", "assistant")
+
+        self.agent = self.Builder.compile()
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        messages = [HumanMessage(content=f"{question}")]
+
+        messages = react_graph.invoke({"messages": messages})
+        answer = f"{messages[-1].content}"
+        print(f"Agent returning answer: {answer}")
+        return answer
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """