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Update app.py
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app.py
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@@ -53,17 +53,27 @@ def generate_prompts_for_object(object_name):
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# === Agent Setup ===
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text_to_image_client = InferenceClient("m-ric/text-to-image")
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text_to_image_tool = TextToImageTool(client=text_to_image_client)
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search_tool = DuckDuckGoSearchResults()
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agent = create_react_agent(llm=llm, tools=[text_to_image_tool, search_tool])
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agent_executor = AgentExecutor(agent=agent, tools=[text_to_image_tool, search_tool], verbose=True)
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# === Agent Setup ===
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# Set up the tools
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text_to_image_client = InferenceClient("m-ric/text-to-image")
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text_to_image_tool = TextToImageTool(client=text_to_image_client)
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search_tool = DuckDuckGoSearchResults()
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# Load a public, token-free model locally via transformers pipeline
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text_gen_pipeline = pipeline("text-generation", model="tiiuae/falcon-7b-instruct", max_new_tokens=512)
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# Wrap pipeline into a LangChain LLM
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class PipelineLLM(LLM):
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def _call(self, prompt, stop=None):
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output = text_gen_pipeline(prompt)[0]["generated_text"]
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return output
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@property
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def _llm_type(self):
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return "pipeline_llm"
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llm = PipelineLLM()
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# Create agent and executor
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agent = create_react_agent(llm=llm, tools=[text_to_image_tool, search_tool])
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agent_executor = AgentExecutor(agent=agent, tools=[text_to_image_tool, search_tool], verbose=True)
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