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Create app.py
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import openai
import gradio as gr
import subprocess
openai.api_key = "EMPTY" # Key is ignored and does not matter
openai.api_base = "http://zanino.millennium.berkeley.edu:8000/v1"
# Query Gorilla Server
def get_gorilla_response(prompt, model):
try:
completion = openai.ChatCompletion.create(
model=model,
messages=[{"role": "user", "content": prompt}]
)
print("Response: ", completion)
return completion.choices[0].message.content
except Exception as e:
print("Sorry, something went wrong!")
def extract_code_from_output(output):
code = output.split("code>>>:")[1]
return code
def run_generated_code(file_path):
# Command to run the generated code using Python interpreter
command = ["python", file_path]
try:
# Execute the command as a subprocess and capture the output and error streams
result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
if result.returncode == 0:
return "Generated code executed successfully.\n" + result.stdout
else:
return "Generated code execution failed with the following error:\n" + result.stderr
except Exception as e:
return "Error occurred while running the generated code: " + str(e)
def gorilla_magic(openai_key, input_prompt, model_option):
openai.api_key = openai_key
if len(input_prompt) > 0:
result = get_gorilla_response(prompt=input_prompt, model=model_option)
code_result = extract_code_from_output(result)
file_path = f"generated_code_{model_option}.py"
with open(file_path, 'w') as file:
file.write(code_result)
execution_result = run_generated_code(file_path)
return result, code_result, execution_result
iface = gr.Interface(
fn=gorilla_magic,
inputs=[
gr.inputs.Textbox(lines=1, placeholder="Enter your OpenAI key here:"),
gr.inputs.Textbox(lines=5, placeholder="Enter your prompt below:"),
gr.inputs.Dropdown(choices=['gorilla-7b-hf-v1', 'gorilla-mpt-7b-hf-v0'], label="Select a model option from the list:")
],
outputs=[
gr.outputs.Textbox(label="Response"),
gr.outputs.Textbox(label="Generated Code"), # 使用 Textbox 來顯示代碼
# gr.outputs.Textbox(label="Execution Result")
],
live=True
)
iface.launch(share=False)