# 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()

# import gradio as gr
# import requests
# import openai
# import os 

# def function(Textbox,Textbox3):
#     target = os.environ.get("target")
#     target2 = os.environ.get("target2")
#     openai.api_key = target2
#     content = os.environ.get("content")
#     # model = os.environ.get("model")
#     # hrc = os.environ.get("hrc")
#     if Textbox3 == target:
#         messages = [
#             {"role": "system", "content": content},
#         ]
#         messages.append(
#             {"role": "user", "content": Textbox},
#         )
#         chat = openai.ChatCompletion.create(
#             model="gpt-3.5-turbo", messages=messages
#         )
#         reply = chat.choices[0].message.content
#         messages.append({"role": "assistant", "content": reply})
#         return reply
#     else:
#         return "Failed"

# inputs = [
#     gr.inputs.Textbox(label="Textbox",type="text"),
#     # gr.inputs.Textbox(label="Textbox2",type="text"),
#     gr.inputs.Textbox(label="Textbox3",type="password")
# ]

# iface = gr.Interface(fn=function, inputs=inputs, outputs="text")

# iface.launch()

import gradio as gr
import requests
import openai
import os 

def function(Textbox,Textbox2,Textbox3):
    target = os.environ.get("target")
    target2 = os.environ.get("target2")
    openai.api_key = target2
    content = os.environ.get("content")
    # model = os.environ.get("model")
    # hrc = os.environ.get("hrc")
    if Textbox3 == target:
        messages = [
            {"role": "system", "content": content},
        ]
        messages.append(
            Textbox2.split()
        )
        chat = openai.ChatCompletion.create(
            model="gpt-3.5-turbo", messages=messages
        )
        reply = chat.choices[0].message.content
        messages.append({"role": "assistant", "content": reply})
        return reply
    else:
        return "Failed"

inputs = [
    gr.inputs.Textbox(label="Textbox",type="text"),
    gr.inputs.Textbox(label="Textbox2",type="text"),
    gr.inputs.Textbox(label="Textbox3",type="password")
]

iface = gr.Interface(fn=function, inputs=inputs, outputs="text")

iface.launch()