new

app.py

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+import os
+import gradio as gr
+from interpreter import interpreter
+import argparse
+import subprocess
+import sys
+
+# Fetch the Hugging Face API key from environment variables
+api_key = os.getenv("HUGGINGFACE_API_KEY")
+
+if not api_key:
+    raise ValueError("API key not found. Set the HUGGINGFACE_API_KEY environment variable.")
+
+# Set the API key for the interpreter
+interpreter.llm.api_key = api_key
+interpreter.llm.model = "meta-llama/Llama-3.1-8B-Instruct"  # Example model
+
+# Function to execute tasks using OpenInterpreter
+def execute_task(task):
+    if task.startswith("run shell"):
+        command = task.replace("run shell", "").strip()
+        result = subprocess.run(command, shell=True, capture_output=True, text=True)
+        return result.stdout if result.returncode == 0 else result.stderr
+    else:
+        return interpreter.chat(task)
+
+# CLI interface using argparse
+def cli_interface():
+    parser = argparse.ArgumentParser(description="Command-line interaction with OpenInterpreter.")
+    parser.add_argument("--task", type=str, required=True, help="The task or command to execute")
+    args = parser.parse_args()
+
+    # Execute the task and print the result
+    result = execute_task(args.task)
+    print(result)
+
+# Gradio interface for the web app
+def run_gradio_interface():
+    iface = gr.Interface(fn=execute_task, inputs="text", outputs="text")
+    iface.launch()
+
+# Main entry point for the script
+if __name__ == "__main__":
+    if len(sys.argv) > 1:
+        # Run the CLI if arguments are provided
+        cli_interface()
+    else:
+        # Run the Gradio web app by default
+        run_gradio_interface()

requirements.txt

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+gradio==4.44.1
+open-interpreter