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acecalisto3
commited on
Update app.py
Browse files
app.py
CHANGED
@@ -5,6 +5,7 @@ from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
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import black
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from pylint import lint
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from io import StringIO
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HUGGING_FACE_REPO_URL = "https://huggingface.co/spaces/acecalisto3/DevToolKit"
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PROJECT_ROOT = "projects"
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@@ -36,7 +37,6 @@ class AIAgent:
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agent_prompt = f"""
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As an elite expert developer, my name is {self.name}. I possess a comprehensive understanding of the following areas:
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{skills_str}
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-
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I am confident that I can leverage my expertise to assist you in developing and deploying cutting-edge web applications. Please feel free to ask any questions or present any challenges you may encounter.
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"""
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return agent_prompt
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@@ -48,6 +48,12 @@ I am confident that I can leverage my expertise to assist you in developing and
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summary = "Chat History:\n" + "\n".join([f"User: {u}\nAgent: {a}" for u, a in chat_history])
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summary += "\n\nWorkspace Projects:\n" + "\n".join([f"{p}: {details}" for p, details in workspace_projects.items()])
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next_step = "Based on the current state, the next logical step is to implement the main application logic."
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return summary, next_step
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import black
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from pylint import lint
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from io import StringIO
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import openai
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HUGGING_FACE_REPO_URL = "https://huggingface.co/spaces/acecalisto3/DevToolKit"
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PROJECT_ROOT = "projects"
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agent_prompt = f"""
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As an elite expert developer, my name is {self.name}. I possess a comprehensive understanding of the following areas:
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{skills_str}
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I am confident that I can leverage my expertise to assist you in developing and deploying cutting-edge web applications. Please feel free to ask any questions or present any challenges you may encounter.
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"""
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return agent_prompt
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summary = "Chat History:\n" + "\n".join([f"User: {u}\nAgent: {a}" for u, a in chat_history])
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summary += "\n\nWorkspace Projects:\n" + "\n".join([f"{p}: {details}" for p, details in workspace_projects.items()])
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# Implement more sophisticated logic here based on chat history and workspace projects
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# For example, you could:
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# - Analyze the chat history to identify the user's goals and suggest relevant actions.
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# - Check the workspace projects for missing files or dependencies and suggest adding them.
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# - Use a language model to generate code based on the user's requests.
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next_step = "Based on the current state, the next logical step is to implement the main application logic."
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return summary, next_step
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