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Update app.py
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app.py
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@@ -29,6 +29,7 @@ class AIAgent:
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self.name = name
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self.description = description
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self.skills = skills
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def create_agent_prompt(self):
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skills_str = '\n'.join([f"* {skill}" for skill in self.skills])
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@@ -47,8 +48,19 @@ I am confident that I can leverage my expertise to assist you in developing and
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return summary, next_step
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def deploy_built_space_to_hf(self):
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pass
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def process_input(input_text):
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chatbot = pipeline("text-generation", model="microsoft/DialoGPT-medium", tokenizer="microsoft/DialoGPT-medium")
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response = chatbot(input_text, max_length=50, num_return_sequences=1)[0]['generated_text']
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@@ -88,74 +100,86 @@ def display_workspace_projects(workspace_projects):
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return "\n".join([f"{p}: {details}" for p, details in workspace_projects.items()])
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if __name__ == "__main__":
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# CSS for styling
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st.markdown("""
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self.name = name
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self.description = description
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self.skills = skills
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self._hf_api = HfApi(token=huggingface_token)
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def create_agent_prompt(self):
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skills_str = '\n'.join([f"* {skill}" for skill in self.skills])
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return summary, next_step
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def deploy_built_space_to_hf(self):
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# Implement logic to deploy the built space to Hugging Face Spaces
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# This could involve creating a new Space, uploading files, and configuring the Space
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# Use the HfApi to interact with the Hugging Face API
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# Example:
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# repository = self._hf_api.create_repo(repo_id="my-new-space", private=False)
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# ... upload files to the repository
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# ... configure the Space
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# return repository
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pass
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def has_valid_hf_token(self):
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return self._hf_api.whoami() is not None
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def process_input(input_text):
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chatbot = pipeline("text-generation", model="microsoft/DialoGPT-medium", tokenizer="microsoft/DialoGPT-medium")
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response = chatbot(input_text, max_length=50, num_return_sequences=1)[0]['generated_text']
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return "\n".join([f"{p}: {details}" for p, details in workspace_projects.items()])
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if __name__ == "__main__":
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st.set_page_config(layout="wide", page_title="AI-Powered Development Platform")
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# Sidebar
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st.sidebar.title("AI Development Platform")
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st.sidebar.header("Tool Box")
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st.sidebar.subheader("Workspace Management")
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project_name_input = st.sidebar.text_input("Project Name:")
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create_project_button = st.sidebar.button("Create Project")
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if create_project_button:
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st.sidebar.write(workspace_interface(project_name_input))
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st.sidebar.subheader("Code Generation")
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selected_model = st.sidebar.selectbox("Select Code Model", AVAILABLE_CODE_GENERATIVE_MODELS)
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code_input = st.sidebar.text_area("Enter Code Prompt:")
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generate_code_button = st.sidebar.button("Generate Code")
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if generate_code_button:
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if selected_model:
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tokenizer = AutoTokenizer.from_pretrained(selected_model)
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model = AutoModelForCausalLM.from_pretrained(selected_model)
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code_generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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generated_code = code_generator(code_input, max_length=500, num_return_sequences=1)[0]['generated_text']
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st.sidebar.code(generated_code)
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else:
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st.sidebar.error("Please select a code model.")
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st.sidebar.subheader("Terminal")
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command = st.sidebar.text_input("Enter a command:")
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if command:
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output, error = run_command(command)
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if error:
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st.sidebar.error(f"Error executing command: {error}")
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else:
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st.sidebar.code(output)
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# Main Content
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st.title("AI-Powered Development Platform")
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st.header("Workspace")
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st.subheader("Chat with an AI Agent")
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chat_input = st.text_input("Enter your message:")
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if chat_input:
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st.session_state.chat_history.append((chat_input, process_input(chat_input)))
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st.markdown("## Chat History ##")
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st.markdown(display_chat_history(st.session_state.chat_history))
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st.subheader("Available Agents")
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for agent_name in st.session_state.available_agents:
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st.write(f"**{agent_name}**")
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st.subheader("Project Management")
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st.markdown(display_workspace_projects(st.session_state.workspace_projects))
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# AI Guide
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if ai_guide_level == "Full Assistance":
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st.markdown("## AI Guide: Full Assistance ##")
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st.write("**Recommended Action:**")
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st.write("Create a new project and then generate some code.")
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elif ai_guide_level == "Partial Assistance":
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st.markdown("## AI Guide: Partial Assistance ##")
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st.write("**Tips:**")
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st.write("Use the chat interface to ask questions about your project.")
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st.write("Use the code generation tool to generate code snippets.")
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else:
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st.markdown("## AI Guide: No Assistance ##")
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st.write("You are on your own!")
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# Autonomous Build
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if st.button("Autonomous Build"):
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project_name = project_name_input
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selected_model = selected_model
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agent = AIAgent("Code Architect", "I am an expert in code generation and deployment.", ["Code Generation", "Deployment"])
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summary, next_step = agent.autonomous_build(st.session_state.chat_history, st.session_state.workspace_projects, project_name, selected_model, huggingface_token)
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st.write("Autonomous Build Summary:")
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st.write(summary)
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st.write("Next Step:")
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st.write(next_step)
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if agent._hf_api and agent.has_valid_hf_token():
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repository = agent.deploy_built_space_to_hf()
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st.markdown("## Congratulations! Successfully deployed Space 🚀 ##")
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st.markdown("[Check out your new Space here](hf.co/" + repository.name + ")")
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# CSS for styling
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st.markdown("""
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