acecalisto3 commited on
Commit
174f1c7
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1 Parent(s): 048b752

Update app.py

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Files changed (1) hide show
  1. app.py +74 -0
app.py CHANGED
@@ -109,6 +109,80 @@ def chat_interface_with_agent(input_text, agent_name):
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  response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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  return response
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  # Streamlit App
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  st.title("AI Agent Creator")
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  response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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  return response
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+ # Terminal interface
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+ def terminal_interface(command, project_name=None):
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+ if project_name:
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+ project_path = os.path.join(PROJECT_ROOT, project_name)
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+ result = subprocess.run(command, shell=True, capture_output=True, text=True, cwd=project_path)
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+ else:
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+ result = subprocess.run(command, shell=True, capture_output=True, text=True)
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+ return result.stdout
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+
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+ # Code editor interface
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+ def code_editor_interface(code):
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+ formatted_code = black.format_str(code, mode=black.FileMode())
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+ pylint_output = lint.Run([formatted_code], do_exit=False)
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+ pylint_output_str = StringIO()
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+ pylint_output.linter.reporter.write_messages(pylint_output_str)
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+ return formatted_code, pylint_output_str.getvalue()
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+
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+ # Text summarization tool
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+ def summarize_text(text):
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+ summarizer = pipeline("summarization")
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+ summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
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+ return summary[0]['summary_text']
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+
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+ # Sentiment analysis tool
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+ def sentiment_analysis(text):
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+ analyzer = pipeline("sentiment-analysis")
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+ result = analyzer(text)
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+ return result[0]['label']
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+
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+ # Text translation tool (code translation)
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+ def translate_code(code, source_language, target_language):
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+ # Placeholder for translation logic
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+ return f"Translated {source_language} code to {target_language}."
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+
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+ # Code generation tool
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+ def generate_code(idea):
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+ response = openai.Completion.create(
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+ engine="davinci-codex",
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+ prompt=idea,
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+ max_tokens=150
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+ )
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+ return response.choices[0].text.strip()
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+
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+ # Workspace interface
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+ def workspace_interface(project_name):
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+ project_path = os.path.join(PROJECT_ROOT, project_name)
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+ if not os.path.exists(project_path):
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+ os.makedirs(project_path)
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+ st.session_state.workspace_projects[project_name] = {'files': []}
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+ return f"Project '{project_name}' created successfully."
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+ else:
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+ return f"Project '{project_name}' already exists."
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+
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+ # Add code to workspace
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+ def add_code_to_workspace(project_name, code, file_name):
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+ project_path = os.path.join(PROJECT_ROOT, project_name)
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+ if not os.path.exists(project_path):
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+ return f"Project '{project_name}' does not exist."
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+
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+ file_path = os.path.join(project_path, file_name)
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+ with open(file_path, "w") as file:
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+ file.write(code)
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+ st.session_state.workspace_projects[project_name]['files'].append(file_name)
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+ return f"Code added to '{file_name}' in project '{project_name}'."
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+
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+ # Chat interface
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+ def chat_interface(input_text):
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+ response = openai.Completion.create(
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+ engine="davinci-codex",
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+ prompt=input_text,
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+ max_tokens=150
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+ )
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+ return response.choices[0].text.strip()
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+
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  # Streamlit App
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  st.title("AI Agent Creator")
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