Update app.py

app.py

@@ -76,13 +76,11 @@ def create_agent_from_text(name, text):
     save_agent_to_file(agent)
     return agent.create_agent_prompt()
 
-# Chat interface using a selected agent
 def chat_interface_with_agent(input_text, agent_name):
     agent_prompt = load_agent_prompt(agent_name)
     if agent_prompt is None:
         return f"Agent {agent_name} not found."
 
-    # Load the GPT-2 model which is compatible with AutoModelForCausalLM
     model_name = "gpt2"
     try:
         model = AutoModelForCausalLM.from_pretrained(model_name)
@@ -91,42 +89,107 @@ def chat_interface_with_agent(input_text, agent_name):
     except EnvironmentError as e:
         return f"Error loading model: {e}"
 
-    # Combine the agent prompt with user input
     combined_input = f"{agent_prompt}\n\nUser: {input_text}\nAgent:"
     
-    # Truncate input text to avoid exceeding the model's maximum length
-    max_input_length = 900
     input_ids = tokenizer.encode(combined_input, return_tensors="pt")
+    max_input_length = 900
     if input_ids.shape[1] > max_input_length:
         input_ids = input_ids[:, :max_input_length]
 
-    # Generate chatbot response
     outputs = model.generate(
         input_ids, max_new_tokens=50, num_return_sequences=1, do_sample=True
     )
     response = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return response
 
-# Preset commands for no-code-knowledge developers
-preset_commands = {
-    "Create a new project": "create_project('project_name')",
-    "Add code to workspace": "add_code_to_workspace('project_name', 'code', 'file_name')",
-    "Run terminal command": "terminal_interface('command', 'project_name')",
-    "Generate code": "generate_code('code_idea')",
-    "Summarize text": "summarize_text('text')",
-    "Analyze sentiment": "sentiment_analysis('text')",
-    "Translate code": "translate_code('code', 'source_language', 'target_language')",
-}
-
-# Streamlit App
+def workspace_interface(project_name):
+    if not os.path.exists(PROJECT_ROOT):
+        os.makedirs(PROJECT_ROOT)
+    project_path = os.path.join(PROJECT_ROOT, project_name)
+    if not os.path.exists(project_path):
+        os.makedirs(project_path)
+        st.session_state.workspace_projects[project_name] = {"files": []}
+        return f"Project {project_name} created successfully."
+    else:
+        return f"Project {project_name} already exists."
+
+def add_code_to_workspace(project_name, code, file_name):
+    project_path = os.path.join(PROJECT_ROOT, project_name)
+    if os.path.exists(project_path):
+        file_path = os.path.join(project_path, file_name)
+        with open(file_path, "w") as file:
+            file.write(code)
+        st.session_state.workspace_projects[project_name]["files"].append(file_name)
+        return f"Code added to {file_name} in project {project_name} successfully."
+    else:
+        return f"Project {project_name} does not exist."
+
+def terminal_interface(command, project_name=None):
+    if project_name:
+        project_path = os.path.join(PROJECT_ROOT, project_name)
+        if not os.path.exists(project_path):
+            return f"Project {project_name} does not exist."
+        result = subprocess.run(command, cwd=project_path, shell=True, capture_output=True, text=True)
+    else:
+        result = subprocess.run(command, shell=True, capture_output=True, text=True)
+    
+    if result.returncode == 0:
+        return result.stdout
+    else:
+        return result.stderr
+
+def code_editor_interface(code):
+    try:
+        formatted_code = black.format_str(code, mode=black.FileMode())
+    except black.NothingChanged:
+        formatted_code = code
+
+    result = StringIO()
+    sys.stdout = result
+    sys.stderr = result
+
+    (pylint_stdout, pylint_stderr) = lint.py_run(code, return_std=True)
+    sys.stdout = sys.__stdout__
+    sys.stderr = sys.__stderr__
+
+    lint_message = pylint_stdout.getvalue() + pylint_stderr.getvalue()
+
+    return formatted_code, lint_message
+
+def summarize_text(text):
+    summarizer = pipeline("summarization")
+    summary = summarizer(text, max_length=50, min_length=25, do_sample=False)
+    return summary[0]['summary_text']
+
+def sentiment_analysis(text):
+    analyzer = pipeline("sentiment-analysis")
+    sentiment = analyzer(text)
+    return sentiment[0]
+
+def translate_code(code, source_language, target_language):
+    prompt = f"Translate this code from {source_language} to {target_language}:\n\n{code}"
+    response = openai.Completion.create(
+        engine="davinci-codex",
+        prompt=prompt,
+        max_tokens=150
+    )
+    return response.choices[0].text.strip()
+
+def generate_code(code_idea):
+    prompt = f"Generate a Python code snippet for the following idea:\n\n{code_idea}"
+    response = openai.Completion.create(
+        engine="davinci-codex",
+        prompt=prompt,
+        max_tokens=150
+    )
+    return response.choices[0].text.strip()
+
 st.title("AI Agent Creator")
 
-# Sidebar navigation
 st.sidebar.title("Navigation")
 app_mode = st.sidebar.selectbox("Choose the app mode", ["AI Agent Creator", "Tool Box", "Workspace Chat App"])
 
 if app_mode == "AI Agent Creator":
-    # AI Agent Creator
     st.header("Create an AI Agent from Text")
 
     st.subheader("From Text")
@@ -138,23 +201,20 @@ if app_mode == "AI Agent Creator":
         st.session_state.available_agents.append(agent_name)
 
 elif app_mode == "Tool Box":
-    # Tool Box
     st.header("AI-Powered Tools")
 
-    # Chat Interface
     st.subheader("Chat with CodeCraft")
     chat_input = st.text_area("Enter your message:")
     if st.button("Send"):
         if chat_input.startswith("@"):
-            agent_name = chat_input.split(" ")[0][1:]  # Extract agent_name from @agent_name
-            chat_input = " ".join(chat_input.split(" ")[1:])  # Remove agent_name from input
+            agent_name = chat_input.split(" ")[0][1:]
+            chat_input = " ".join(chat_input.split(" ")[1:])
             chat_response = chat_interface_with_agent(chat_input, agent_name)
         else:
-            chat_response = chat_interface(chat_input)
+            chat_response = "Chat interface function not provided."
         st.session_state.chat_history.append((chat_input, chat_response))
         st.write(f"CodeCraft: {chat_response}")
 
-    # Terminal Interface
     st.subheader("Terminal")
     terminal_input = st.text_input("Enter a command:")
     if st.button("Run"):
@@ -162,7 +222,6 @@ elif app_mode == "Tool Box":
         st.session_state.terminal_history.append((terminal_input, terminal_output))
         st.code(terminal_output, language="bash")
 
-    # Code Editor Interface
     st.subheader("Code Editor")
     code_editor = st.text_area("Write your code:", height=300)
     if st.button("Format & Lint"):
@@ -170,21 +229,18 @@ elif app_mode == "Tool Box":
         st.code(formatted_code, language="python")
         st.info(lint_message)
 
-    # Text Summarization Tool
     st.subheader("Summarize Text")
     text_to_summarize = st.text_area("Enter text to summarize:")
     if st.button("Summarize"):
         summary = summarize_text(text_to_summarize)
         st.write(f"Summary: {summary}")
 
-    # Sentiment Analysis Tool
     st.subheader("Sentiment Analysis")
     sentiment_text = st.text_area("Enter text for sentiment analysis:")
     if st.button("Analyze Sentiment"):
         sentiment = sentiment_analysis(sentiment_text)
         st.write(f"Sentiment: {sentiment}")
 
-    # Text Translation Tool (Code Translation)
     st.subheader("Translate Code")
     code_to_translate = st.text_area("Enter code to translate:")
     source_language = st.text_input("Enter source language (e.g. 'Python'):")
@@ -193,30 +249,34 @@ elif app_mode == "Tool Box":
         translated_code = translate_code(code_to_translate, source_language, target_language)
         st.code(translated_code, language=target_language.lower())
 
-    # Code Generation
     st.subheader("Code Generation")
     code_idea = st.text_input("Enter your code idea:")
     if st.button("Generate Code"):
         generated_code = generate_code(code_idea)
         st.code(generated_code, language="python")
 
-    # Display Preset Commands
     st.subheader("Preset Commands")
+    preset_commands = {
+        "Create a new project": "create_project('project_name')",
+        "Add code to workspace": "add_code_to_workspace('project_name', 'code', 'file_name')",
+        "Run terminal command": "terminal_interface('command', 'project_name')",
+        "Generate code": "generate_code('code_idea')",
+        "Summarize text": "summarize_text('text')",
+        "Analyze sentiment": "sentiment_analysis('text')",
+        "Translate code": "translate_code('code', 'source_language', 'target_language')",
+    }
     for command_name, command in preset_commands.items():
         st.write(f"{command_name}: `{command}`")
 
 elif app_mode == "Workspace Chat App":
-    # Workspace Chat App
     st.header("Workspace Chat App")
 
-    # Project Workspace Creation
     st.subheader("Create a New Project")
     project_name = st.text_input("Enter project name:")
     if st.button("Create Project"):
         workspace_status = workspace_interface(project_name)
         st.success(workspace_status)
 
-    # Add Code to Workspace
     st.subheader("Add Code to Workspace")
     code_to_add = st.text_area("Enter code to add to workspace:")
     file_name = st.text_input("Enter file name (e.g. 'app.py'):")
@@ -224,55 +284,55 @@ elif app_mode == "Workspace Chat App":
         add_code_status = add_code_to_workspace(project_name, code_to_add, file_name)
         st.success(add_code_status)
 
-    # Terminal Interface with Project Context
     st.subheader("Terminal (Workspace Context)")
     terminal_input = st.text_input("Enter a command within the workspace:")
     if st.button("Run Command"):
         terminal_output = terminal_interface(terminal_input, project_name)
         st.code(terminal_output, language="bash")
 
-    # Chat Interface for Guidance
     st.subheader("Chat with CodeCraft for Guidance")
     chat_input = st.text_area("Enter your message for guidance:")
     if st.button("Get Guidance"):
-        chat_response = chat_interface(chat_input)
+        chat_response = "Chat interface function not provided."
         st.session_state.chat_history.append((chat_input, chat_response))
         st.write(f"CodeCraft: {chat_response}")
 
-    # Display Chat History
     st.subheader("Chat History")
     for user_input, response in st.session_state.chat_history:
         st.write(f"User: {user_input}")
         st.write(f"CodeCraft: {response}")
 
-    # Display Terminal History
     st.subheader("Terminal History")
     for command, output in st.session_state.terminal_history:
         st.write(f"Command: {command}")
         st.code(output, language="bash")
 
-    # Display Projects and Files
     st.subheader("Workspace Projects")
     for project, details in st.session_state.workspace_projects.items():
         st.write(f"Project: {project}")
         for file in details['files']:
             st.write(f"  - {file}")
 
-    # Chat with AI Agents
     st.subheader("Chat with AI Agents")
-    selected_agent = st.selectbox("Select an AI agent", st.session_state.available_agents)
-    agent_chat_input = st.text_area("Enter your message for the agent:")
-    if st.button("Send to Agent"):
-        agent_chat_response = chat_interface_with_agent(agent_chat_input, selected_agent)
-        st.session_state.chat_history.append((agent_chat_input, agent_chat_response))
-        st.write(f"{selected_agent}: {agent_chat_response}")
-
-    # Automate Build Process
+    if st.session_state.available_agents:
+        selected_agent = st.selectbox("Select an AI agent", st.session_state.available_agents)
+        agent_chat_input = st.text_area("Enter your message for the agent:")
+        if st.button("Send to Agent"):
+            agent_chat_response = chat_interface_with_agent(agent_chat_input, selected_agent)
+            st.session_state.chat_history.append((agent_chat_input, agent_chat_response))
+            st.write(f"{selected_agent}: {agent_chat_response}")
+    else:
+        st.write("No agents available. Please create an agent first.")
+
     st.subheader("Automate Build Process")
     if st.button("Automate"):
-        agent = AIAgent(selected_agent, "", [])  # Load the agent without skills for now
-        summary, next_step = agent.autonomous_build(st.session_state.chat_history, st.session_state.workspace_projects)
-        st.write("Autonomous Build Summary:")
-        st.write(summary)
-        st.write("Next Step:")
-        st.write(next_step)
+        if st.session_state.available_agents:
+            selected_agent = st.session_state.available_agents[0]
+            agent = AIAgent(selected_agent, "", []) 
+            summary, next_step = agent.autonomous_build(st.session_state.chat_history, st.session_state.workspace_projects)
+            st.write("Autonomous Build Summary:")
+            st.write(summary)
+            st.write("Next Step:")
+            st.write(next_step)
+        else:
+            st.write("No agents available. Please create an agent first.")