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import os |
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import gradio as gr |
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from dotenv import load_dotenv, dotenv_values |
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import openai |
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load_dotenv() |
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openai.organization = os.getenv("ORG_KEY") |
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openai.api_key = os.getenv("OPENAI_API_KEY") |
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def ai_response(query): |
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completion = openai.ChatCompletion.create( |
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model="gpt-3.5-turbo", |
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messages=[ |
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{"role": "assistant", "content": os.getenv("Prompt_doctor") }, |
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{"role": "user", "content": query } |
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], |
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stop = [" Human:", " AI:"] |
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) |
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return completion["choices"][0]["message"]["content"] |
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def create_ui(query,past): |
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output = ai_response(query) |
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past.append((query,output)) |
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return None , past |
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with gr.Blocks(theme=gr.themes.Glass()) as demo: |
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gr.Markdown("<h1><center>Your AI Therapist</center></h1> <hr> <p> <h3><bold>Introduction: </bold> This is a AI Therapist Chatbot powered by OpenAI's GPT-3.5 Turbo model, designed to engage with users in a supportive and empathetic manner, providing responses to user queries and messages.</h3> </p> ") |
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chatbot = gr.Chatbot() |
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msg = gr.Textbox(placeholder="Write your message here") |
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msg.submit(create_ui, inputs=[msg,chatbot] , outputs=[msg,chatbot]) |
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demo.launch(share=False) |
