app.py
Browse files
app.py
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| 1 |
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import gradio as gr
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| 2 |
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import random
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| 3 |
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from gpti import bing, gpt
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| 4 |
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| 5 |
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def error_alert(message):
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| 6 |
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gr.Warning(message)
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| 7 |
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| 8 |
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with gr.Blocks() as demo:
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| 9 |
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gr.Markdown("""
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| 10 |
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# ChatGPT
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+
Interact with GPT-4, GPT-3.5, or Bing to explore a world of intelligent answers and informative discoveries. You can also visit my [website](https://aryahcr.cc/) where you can generate multiple images and more.
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| 12 |
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""")
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| 13 |
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chatbot = gr.Chatbot()
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| 14 |
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radio = gr.Radio(["ChatGPT", "ChatGPT v2", "Bing"], value="ChatGPT", label="Select the AI model you want to chat with", info="AI")
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| 15 |
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drp = gr.Dropdown(
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| 16 |
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interactive=True, choices=["gpt-4", "gpt-3.5-turbo"], value="gpt-4", label="Select Model", info="ChatGPT", visible=True
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)
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| 18 |
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msg = gr.Textbox(placeholder="Message", show_label=False)
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| 19 |
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clear = None
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| 20 |
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btnRandom = None
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| 21 |
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with gr.Row():
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btnRandom = gr.Button("Random message")
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clear = gr.ClearButton([msg, chatbot])
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| 24 |
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| 25 |
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def change_model(req):
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match req.lower():
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| 27 |
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case "bing":
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| 28 |
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return gr.Dropdown(
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interactive=True, choices=["Balanced", "Creative", "Precise"], value="Balanced", label="Select Model", info="Bing", visible=True
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| 30 |
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)
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| 31 |
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case "chatgpt":
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| 32 |
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return gr.Dropdown(
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| 33 |
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interactive=True, choices=["gpt-4", "gpt-3.5-turbo"], value="gpt-4", label="Select Model", info="ChatGPT", visible=True
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| 34 |
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)
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| 35 |
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case _:
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| 36 |
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return gr.Dropdown(
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| 37 |
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visible=False
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| 38 |
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)
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| 39 |
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| 40 |
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def user_msg(message, history):
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| 41 |
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return "", history + [[message, None]]
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| 42 |
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| 43 |
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def strm_message(history, option, model):
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| 44 |
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model_ai = None
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| 45 |
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if option.lower() if option is not None else "" and option.lower() in ["chatgpt", "bing"]:
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| 46 |
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model_ai = model
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| 47 |
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ai_option = option if option is not None else "chatgpt"
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| 48 |
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| 49 |
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messages_history = []
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| 50 |
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cnt = 0
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| 51 |
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for x in range(len(history)):
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| 52 |
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cnt = x
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| 53 |
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for user, assistant in list(history):
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| 54 |
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if assistant != None:
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| 55 |
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messages_history.append({
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| 56 |
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"role": "assistant",
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| 57 |
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"content": assistant
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| 58 |
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})
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| 59 |
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if user != None:
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| 60 |
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messages_history.append({
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| 61 |
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"role": "user",
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| 62 |
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"content": user
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| 63 |
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})
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| 64 |
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| 65 |
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res = None
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| 66 |
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if ai_option.lower() == "chatgpt":
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| 67 |
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try:
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| 68 |
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res = gpt.v1(messages=messages_history, model=model_ai, markdown=False)
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| 69 |
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| 70 |
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if res.error != None:
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| 71 |
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error_alert("The error has occurred. Please try again.")
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| 72 |
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history[cnt][1] = None
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| 73 |
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yield history
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| 74 |
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else:
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| 75 |
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res_bot = res.result
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| 76 |
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if res_bot.get("gpt") != None:
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| 77 |
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history[cnt][1] = res_bot.get("gpt")
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| 78 |
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yield history
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| 79 |
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else:
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| 80 |
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error_alert("The error has occurred. Please try again.")
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| 81 |
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history[cnt][1] = None
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| 82 |
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yield history
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| 83 |
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except Exception as e:
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| 84 |
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error_alert("The error has occurred. Please try again.")
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| 85 |
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history[cnt][1] = None
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| 86 |
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yield history
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| 87 |
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elif ai_option.lower() == "bing":
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| 88 |
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try:
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| 89 |
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res = bing(messages=messages_history, conversation_style=model_ai, markdown=False, stream=True)
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| 90 |
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| 91 |
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if res.error != None:
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| 92 |
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error_alert("The error has occurred. Please try again.")
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| 93 |
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history[cnt][1] = None
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| 94 |
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yield history
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| 95 |
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else:
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| 96 |
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msg_x = None
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| 97 |
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for chunk in res.stream():
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| 98 |
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print(chunk)
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| 99 |
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if chunk.get("error") != None and chunk.get("error") != True and chunk.get("message") != None:
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| 100 |
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msg_x = chunk.get("message")
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| 101 |
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history[cnt][1] = msg_x
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| 102 |
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yield history
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| 103 |
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if msg_x != None:
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| 104 |
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history[cnt][1] = msg_x
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| 105 |
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yield history
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| 106 |
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else:
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| 107 |
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error_alert("The error has occurred. Please try again.")
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| 108 |
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msg_x = None
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| 109 |
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history[cnt][1] = None
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| 110 |
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yield history
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| 111 |
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except Exception as e:
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| 112 |
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error_alert("The error has occurred. Please try again.")
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| 113 |
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history[cnt][1] = None
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| 114 |
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yield history
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| 115 |
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elif ai_option.lower() == "chatgpt v2":
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| 116 |
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try:
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| 117 |
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res = gpt.v2(messages=messages_history, stream=True, markdown=False)
|
| 118 |
+
|
| 119 |
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if res.error != None:
|
| 120 |
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error_alert("The error has occurred. Please try again.")
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| 121 |
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history[cnt][1] = None
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| 122 |
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yield history
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| 123 |
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else:
|
| 124 |
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msg_x = None
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| 125 |
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for chunk in res.stream():
|
| 126 |
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if chunk.get("error") != None and chunk.get("error") != True and chunk.get("message") != None:
|
| 127 |
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msg_x = chunk.get("message")
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| 128 |
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history[cnt][1] = msg_x
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| 129 |
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yield history
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| 130 |
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if msg_x != None:
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| 131 |
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history[cnt][1] = msg_x
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| 132 |
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yield history
|
| 133 |
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else:
|
| 134 |
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error_alert("The error has occurred. Please try again.")
|
| 135 |
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msg_x = None
|
| 136 |
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history[cnt][1] = None
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| 137 |
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yield history
|
| 138 |
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except Exception as e:
|
| 139 |
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error_alert("The error has occurred. Please try again.")
|
| 140 |
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history[cnt][1] = None
|
| 141 |
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yield history
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| 142 |
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else:
|
| 143 |
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error_alert("You haven't selected an AI model to start")
|
| 144 |
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history[cnt][1] = None
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| 145 |
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yield history
|
| 146 |
+
|
| 147 |
+
def rand_message():
|
| 148 |
+
try:
|
| 149 |
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res = gpt.prompts(lang="en", limit=4, offset=0)
|
| 150 |
+
|
| 151 |
+
if res.error != None:
|
| 152 |
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error_alert("The error has occurred. Please try again.")
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| 153 |
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return ""
|
| 154 |
+
else:
|
| 155 |
+
result = res.result
|
| 156 |
+
if result.get("items") != None:
|
| 157 |
+
random_prompt = random.choice(result.get("items"))
|
| 158 |
+
if random_prompt != None and random_prompt.get("prompt") != None:
|
| 159 |
+
return str(random_prompt.get("prompt"))
|
| 160 |
+
else:
|
| 161 |
+
error_alert("The error has occurred. Please try again.")
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| 162 |
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return ""
|
| 163 |
+
else:
|
| 164 |
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error_alert("The error has occurred. Please try again.")
|
| 165 |
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return ""
|
| 166 |
+
except Exception as e:
|
| 167 |
+
error_alert("The error has occurred. Please try again.")
|
| 168 |
+
return ""
|
| 169 |
+
|
| 170 |
+
radio.change(fn=change_model, inputs=radio, outputs=drp)
|
| 171 |
+
btnRandom.click(fn=rand_message, outputs=[msg])
|
| 172 |
+
|
| 173 |
+
msg.submit(user_msg, inputs=[msg, chatbot], outputs=[msg, chatbot], queue=True).then(
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| 174 |
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strm_message, [chatbot, radio, drp], chatbot
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| 175 |
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)
|
| 176 |
+
|
| 177 |
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demo.queue()
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| 178 |
+
if __name__ == "__main__":
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| 179 |
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demo.launch()
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