Onurcan Genç commited on
Commit ·
6b3c76e
1
Parent(s): ff023bb
added.
Browse files
app.py
CHANGED
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@@ -4,6 +4,7 @@ from interpreter import interpreter
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import argparse
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import subprocess
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import sys
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# Fetch the Hugging Face API key from environment variables
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api_key = os.getenv("HUGGINGFACE_API_KEY")
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@@ -11,19 +12,25 @@ api_key = os.getenv("HUGGINGFACE_API_KEY")
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if not api_key:
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raise ValueError("API key not found. Set the HUGGINGFACE_API_KEY environment variable.")
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# Set the API key for the interpreter
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interpreter.llm.api_key = api_key
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interpreter.llm.
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# Function to execute shell commands if detected in model output
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def execute_shell_command(command):
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return result.stdout if result.returncode == 0 else result.stderr
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# Function to process tasks using OpenInterpreter and detect shell commands
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def execute_task(task):
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# Check if the response indicates a shell command
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if "run shell" in response.lower():
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@@ -42,16 +49,7 @@ def cli_interface():
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result = execute_task(args.task)
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print(result)
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# Gradio interface for the web app
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def run_gradio_interface():
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iface = gr.Interface(fn=execute_task, inputs="text", outputs="text")
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iface.launch()
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# Main entry point for the script
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if __name__ == "__main__":
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cli_interface()
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else:
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# Run the Gradio web app by default
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run_gradio_interface()
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import argparse
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import subprocess
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import sys
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import shlex
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# Fetch the Hugging Face API key from environment variables
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api_key = os.getenv("HUGGINGFACE_API_KEY")
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if not api_key:
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raise ValueError("API key not found. Set the HUGGINGFACE_API_KEY environment variable.")
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# Set the API key and model for the interpreter
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interpreter.llm.api_key = api_key
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interpreter.llm.provider = "huggingface" # Specify the provider
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interpreter.llm.model = "meta-llama/Llama-3.1-8B-Instruct" # Use the correct model identifier
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# Function to execute shell commands if detected in model output
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def execute_shell_command(command):
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# Sanitize user input using shlex.split to avoid security vulnerabilities
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sanitized_command = shlex.split(command)
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result = subprocess.run(sanitized_command, capture_output=True, text=True)
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return result.stdout if result.returncode == 0 else result.stderr
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# Function to process tasks using OpenInterpreter and detect shell commands
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def execute_task(task):
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try:
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# Get the model-generated response first
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response = "".join([chunk for chunk in interpreter.chat(task, stream=True)])
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except Exception as e:
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return f"Error while interacting with the model: {str(e)}"
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# Check if the response indicates a shell command
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if "run shell" in response.lower():
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result = execute_task(args.task)
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print(result)
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# Main entry point for the script
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if __name__ == "__main__":
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# Run the CLI interface only, no web app
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cli_interface()
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