Update app.py
Browse files
app.py
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@@ -30,11 +30,11 @@ from transformers import AutoModelForCausalLM, AutoTokenizer, Agent, LocalAgent
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# print(agent.run("Is the following `text` (in Spanish) positive or negative?", text="¡Este es un API muy agradable!"))
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# Load tools
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tools = [
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# Define the custom HfAgent class
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class CustomHfAgent(Agent):
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@@ -87,6 +87,15 @@ tool_checkboxes = [st.checkbox(f"Use {tool.name} --- {tool.description} ") for t
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# Submit button
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#submit_button = st.button("Submit")
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# Define the callback function to handle the form submission
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def handle_submission():
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# Get the user's message and the selected tools
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@@ -94,19 +103,15 @@ def handle_submission():
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#selected_tools = []
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selected_tools = [tool for idx, tool in enumerate(tools) if tool_checkboxes[idx]]
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print(selected_tools)
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agent = CustomHfAgent(
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url_endpoint="https://api-inference.huggingface.co/models/bigcode/starcoder",
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token=os.environ['HF_token'],
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additional_tools=selected_tools,
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input_params={"max_new_tokens": 192}, # Set the desired value
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)
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# Run the agent with the user's message and selected tools
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response = agent.run(message)
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print("Response " + response)
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# print(agent.run("Is the following `text` (in Spanish) positive or negative?", text="¡Este es un API muy agradable!"))
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# Load tools
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random_character_tool = load_tool("Chris4K/random-character-tool")
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text_generation_tool = load_tool("Chris4K/text-generation-tool")
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tools = [random_character_tool, text_generation_tool]
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# Define the custom HfAgent class
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class CustomHfAgent(Agent):
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# Submit button
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#submit_button = st.button("Submit")
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# Initialize the agent
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agent = CustomHfAgent(
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url_endpoint="https://api-inference.huggingface.co/models/bigcode/starcoder",
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token=os.environ['HF_token'],
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additional_tools=selected_tools,
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input_params={"max_new_tokens": 192}, # Set the desired value
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)
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# Define the callback function to handle the form submission
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def handle_submission():
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# Get the user's message and the selected tools
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#selected_tools = []
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selected_tools = [tool for idx, tool in enumerate(tools) if tool_checkboxes[idx]]
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print(selected_tools)
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agent.tools = selected_tools
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# Run the agent with the user's message and selected tools
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#response = agent.run(message)
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response = agent.chat(message)
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print("Response " + response)
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