Update app.py

app.py

@@ -1,15 +1,10 @@
 import os
-import sys
 import subprocess
 import streamlit as st
 from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
 import black
 from pylint import lint
 from io import StringIO
-import openai
-
-# Set your OpenAI API key here
-openai.api_key = "YOUR_OPENAI_API_KEY"
 
 HUGGING_FACE_REPO_URL = "https://huggingface.co/spaces/acecalisto3/DevToolKit"
 PROJECT_ROOT = "projects"
@@ -41,6 +36,7 @@ class AIAgent:
         agent_prompt = f"""
 As an elite expert developer, my name is {self.name}. I possess a comprehensive understanding of the following areas:
 {skills_str}
+
 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.
 """
         return agent_prompt
@@ -158,22 +154,6 @@ def terminal_interface(command, project_name=None):
         st.session_state.current_state['toolbox']['terminal_output'] = result.stderr
         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()
-    st.session_state.current_state['toolbox']['formatted_code'] = formatted_code
-    st.session_state.current_state['toolbox']['lint_message'] = lint_message
-    return formatted_code, lint_message
-
 def summarize_text(text):
     summarizer = pipeline("summarization")
     summary = summarizer(text, max_length=50, min_length=25, do_sample=False)
@@ -186,10 +166,25 @@ def sentiment_analysis(text):
     st.session_state.current_state['toolbox']['sentiment'] = sentiment[0]
     return sentiment[0]
 
+# ... [rest of the translate_code function, but remove the OpenAI API call and replace it with your own logic] ...
+
+def generate_code(code_idea):
+    # Replace this with a call to a Hugging Face model or your own logic
+    # For example, using a text-generation pipeline:
+    generator = pipeline('text-generation', model='gpt4o')
+    generated_code = generator(code_idea, max_length=10000, num_return_sequences=1)[0]['generated_text']
+    messages=[
+            {"role": "system", "content": "You are an expert software developer."},
+            {"role": "user", "content": f"Generate a Python code snippet for the following idea:\n\n{code_idea}"}
+        ]
+    st.session_state.current_state['toolbox']['generated_code'] = generated_code
+    
+    return generated_code
+    
 def translate_code(code, input_language, output_language):
     # Define a dictionary to map programming languages to their corresponding file extensions
     language_extensions = {
-        # ignore the specific languages right now, and continue to EOF
+        
     }
 
     # Add code to handle edge cases such as invalid input and unsupported programming languages
@@ -413,4 +408,4 @@ elif app_mode == "Workspace Chat App":
 
 # Display current state for debugging
 st.sidebar.subheader("Current State")
-st.sidebar.json(st.session_state.current_state)
+st.sidebar.json(st.session_state.current_state)