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Update app.py
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app.py
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@@ -33,23 +33,32 @@ class BasicAgent:
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print(f"Agent returning fixed answer: {fixed_answer}")
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return fixed_answer
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class LangGraphAgent:
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def __init__(self):
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# Load Zephyr with correct config
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self.model =
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model_id="HuggingFaceH4/zephyr-7b-beta",
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task="text-generation",
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model_kwargs={"temperature": 0.7, "max_new_tokens": 512},
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huggingfacehub_api_token=hf_token
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)
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# Define a simple graph with just one node
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builder = StateGraph()
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def call_model(state):
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messages = state.get("messages", [])
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builder.add_node("chat", call_model)
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builder.set_entry_point("chat")
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print(f"Agent returning fixed answer: {fixed_answer}")
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return fixed_answer
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class ZephyrPipelineModel:
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def __init__(self):
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self.pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta")
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def __call__(self, prompt: str) -> str:
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# Zephyr wants a list of messages
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messages = [{"role": "user", "content": prompt}]
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result = self.pipe(messages, max_new_tokens=512)
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return result[0]["generated_text"]
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class LangGraphAgent:
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def __init__(self):
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# Load Zephyr with correct config
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self.model = ZephyrPipelineModel()
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# Define a simple graph with just one node
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builder = StateGraph()
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def call_model(state):
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messages = state.get("messages", [])
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user_msg = next((m for m in messages if isinstance(m, HumanMessage)), None)
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if not user_msg:
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return {"messages": messages + [AIMessage(content="❌ No user input found.")]}
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response = self.model(user_msg.content)
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return {"messages": messages + [AIMessage(content=response)]}
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builder.add_node("chat", call_model)
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builder.set_entry_point("chat")
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