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Update app.py
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app.py
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@@ -99,7 +99,7 @@ def chat_interface_with_agent(input_text, agent_name):
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# Combine the agent prompt with user input
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combined_input = f"{agent_prompt}\n\nUser: {input_text}\nAgent:"
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# Truncate input text to avoid exceeding the model's maximum length
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max_input_length = 900
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input_ids = tokenizer.encode(combined_input, return_tensors="pt")
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@@ -178,13 +178,22 @@ def generate_code(code_idea):
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{"role": "user", "content": f"Generate a Python code snippet for the following idea:\n\n{code_idea}"}
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]
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st.session_state.current_state['toolbox']['generated_code'] = generated_code
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return generated_code
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def translate_code(code, input_language, output_language):
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# Define a dictionary to map programming languages to their corresponding file extensions
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language_extensions = {
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}
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# Add code to handle edge cases such as invalid input and unsupported programming languages
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@@ -307,11 +316,11 @@ elif app_mode == "Tool Box":
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# Text Translation Tool (Code Translation)
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st.subheader("Translate Code")
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code_to_translate = st.text_area("Enter code to translate:")
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if st.button("Translate Code"):
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translated_code = translate_code(code_to_translate,
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st.code(translated_code, language=
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# Code Generation
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st.subheader("Code Generation")
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@@ -384,28 +393,6 @@ elif app_mode == "Workspace Chat App":
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st.subheader("Workspace Projects")
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for project, details in st.session_state.workspace_projects.items():
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st.write(f"Project: {project}")
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# Chat with AI Agents
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st.subheader("Chat with AI Agents")
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selected_agent = st.selectbox("Select an AI agent", st.session_state.available_agents)
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agent_chat_input = st.text_area("Enter your message for the agent:")
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if st.button("Send to Agent"):
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agent_chat_response = chat_interface_with_agent(agent_chat_input, selected_agent)
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st.session_state.chat_history.append((agent_chat_input, agent_chat_response))
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st.write(f"{selected_agent}: {agent_chat_response}")
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# Automate Build Process
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st.subheader("Automate Build Process")
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if st.button("Automate"):
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agent = AIAgent(selected_agent, "", []) # Load the agent without skills for now
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summary, next_step = agent.autonomous_build(st.session_state.chat_history, st.session_state.workspace_projects)
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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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# Display current state for debugging
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st.sidebar.subheader("Current State")
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st.sidebar.json(st.session_state.current_state)
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# Combine the agent prompt with user input
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combined_input = f"{agent_prompt}\n\nUser: {input_text}\nAgent:"
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# Truncate input text to avoid exceeding the model's maximum length
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max_input_length = 900
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input_ids = tokenizer.encode(combined_input, return_tensors="pt")
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{"role": "user", "content": f"Generate a Python code snippet for the following idea:\n\n{code_idea}"}
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]
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st.session_state.current_state['toolbox']['generated_code'] = generated_code
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return generated_code
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def translate_code(code, input_language, output_language):
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# Define a dictionary to map programming languages to their corresponding file extensions
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language_extensions = {
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"Python": "py",
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"JavaScript": "js",
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"Java": "java",
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"C++": "cpp",
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"C#": "cs",
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"Ruby": "rb",
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"Go": "go",
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"PHP": "php",
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"Swift": "swift",
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"TypeScript": "ts",
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}
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# Add code to handle edge cases such as invalid input and unsupported programming languages
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# Text Translation Tool (Code Translation)
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st.subheader("Translate Code")
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code_to_translate = st.text_area("Enter code to translate:")
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input_language = st.text_input("Enter input language (e.g. 'Python'):")
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output_language = st.text_input("Enter output language (e.g. 'JavaScript'):")
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if st.button("Translate Code"):
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translated_code = translate_code(code_to_translate, input_language, output_language)
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st.code(translated_code, language=output_language.lower())
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# Code Generation
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st.subheader("Code Generation")
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st.subheader("Workspace Projects")
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for project, details in st.session_state.workspace_projects.items():
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st.write(f"Project: {project}")
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st.write("Files:")
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for file in details["files"]:
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st.write(f"- {file}")
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