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Sleeping
File size: 1,202 Bytes
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import gradio as gr
import requests
import os
def function(Textbox,Textbox2):
target = os.environ.get("target")
target2 = os.environ.get("target2")
model = os.environ.get("model")
hrc = os.environ.get("hrc")
content = os.environ.get("content")
if Textbox2 == target:
payload = {
"model": "gpt-3.5-turbo",
"messages": [{"role": "system", "content": content},{"role": "user", "content": Textbox}],
"temperature" : 1.0,
"top_p":1.0,
"n" : 1,
"stream": False,
"presence_penalty":0,
"frequency_penalty":0,
}
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {target2}"
}
response = requests.post(hrc, headers=headers, json=payload, stream=False)
response = response.json()
return response["choices"][0]["message"]["content"]
else:
return "Failed"
inputs = [
gr.inputs.Textbox(label="Textbox",type="text"),
gr.inputs.Textbox(label="Textbox2",type="password")
]
iface = gr.Interface(fn=function, inputs=inputs, outputs="text")
iface.launch()
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