Spaces:
Sleeping
Sleeping
graph test
Browse files
app.py
CHANGED
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@@ -74,15 +74,17 @@ class BasicAgent:
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self.model = ChatOpenAI(model="gpt-4o", temperature=0)
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self.graph = StateGraph(AnswerState)
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self.graph.add_node("log_question", self.log_question)
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self.graph.add_node("
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self.graph.add_node("final_answer", self.final_answer)
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self.graph.add_edge(START, "log_question")
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# Add conditional edges
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self.graph.add_conditional_edges(
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"
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self.
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{
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"FINAL_ANSWER": "final_answer",
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"GOOGLE_SEARCH": "final_answer",
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@@ -124,36 +126,24 @@ class BasicAgent:
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"is_final_answer": True,
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}
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def
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state["answer"] = "Exceeded max number of attempts."
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return "FINAL_ANSWER"
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else:
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state["attempt"] += 1
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print("[try_answer] Agent trying to answer")
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response = self.model.invoke(state["messages"])
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print(f"Agent response: {response.content}")
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state["messages"].append(
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ChatMessage(
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role="assistant",
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content=response.content,
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)
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)
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print(f"Agent final answer: {answer}")
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print(f"Agent returning answer: {state['answer']}")
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state["answer"] = answer
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return "FINAL_ANSWER"
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if "TOOL: GoogleSearchAgent" in
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request_full = (
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response.text().split("TOOL: GoogleSearchAgent(")[-1].strip(")")
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)
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print(f"Tool invocation request: {request_full}")
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request = request_full.split("request=")[-1].strip("'")
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print(f"Search request: {request}")
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@@ -163,6 +153,52 @@ class BasicAgent:
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return "FINAL_ANSWER"
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def run_and_submit_all(profile: gr.OAuthProfile | None):
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"""
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self.model = ChatOpenAI(model="gpt-4o", temperature=0)
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self.graph = StateGraph(AnswerState)
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self.graph.add_node("log_question", self.log_question)
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self.graph.add_node("invoke_model", self.invoke_model)
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self.graph.add_node("parse_response", self.parse_response)
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self.graph.add_node("final_answer", self.final_answer)
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self.graph.add_edge(START, "log_question")
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self.graph.add_edge("log_question", "invoke_model")
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# Add conditional edges
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self.graph.add_conditional_edges(
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"invoke_model",
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self.parse_response,
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{
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"FINAL_ANSWER": "final_answer",
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"GOOGLE_SEARCH": "final_answer",
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"is_final_answer": True,
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}
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def parse_response(self, state: AnswerState) -> str:
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print("[parse_response] parsing last chat response")
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if state["attempt"] > 0:
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state["answer"] = "Exceeded max number of attempts."
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return "FINAL_ANSWER"
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content = self.content2text(state["messages"][-1].content)
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if "FINAL ANSWER:" in content:
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answer = content.split("FINAL ANSWER:")[-1].strip()
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print(f"Agent final answer: {answer}")
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print(f"Agent returning answer: {state['answer']}")
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state["answer"] = answer
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return "FINAL_ANSWER"
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if "TOOL: GoogleSearchAgent" in content:
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request_full = content.split("TOOL: GoogleSearchAgent(")[-1].strip(")")
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print(f"Tool invocation request: {request_full}")
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request = request_full.split("request=")[-1].strip("'")
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print(f"Search request: {request}")
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return "FINAL_ANSWER"
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print("[parse_response] Agent parsing response")
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if state["is_final_answer"]:
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return "FINAL_ANSWER"
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if state["search_request"]:
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return "GOOGLE_SEARCH"
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return "FINAL_ANSWER"
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def content2text(self, content) -> str:
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"""Get the text content of the message.
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Returns:
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The text content of the message.
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"""
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if isinstance(content, str):
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return content
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# must be a list
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blocks = [
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block
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for block in content
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if isinstance(block, str)
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or (block.get("type") == "text" and isinstance(block.get("text"), str))
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]
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return "".join(
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block if isinstance(block, str) else block["text"] for block in blocks
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)
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def invoke_model(self, state: AnswerState) -> Dict[str, Any]:
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print("[invoke_model] Agent trying to answer")
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response = self.model.invoke(state["messages"])
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print(f"Agent response: {response.content}")
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state["messages"].append(
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ChatMessage(
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role="assistant",
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content=response.content,
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)
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)
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return {
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"messages": state["messages"],
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"attempt": state.get("attempt", 0) + 1,
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}
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def run_and_submit_all(profile: gr.OAuthProfile | None):
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"""
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