import openai
import gradio as gr
openai.api_key = "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"
messages = [
{"role": "system", "content": "You are a professor and career counsellor who mainly helps engineering diploma students with their studies, such as clearing doubts related to their branch or their future."}
]
def CustomChatGPT(user_input, engineering_branch, year_of_study):
messages.append({"role": "user", "content": user_input})
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=messages
)
ChatGPT_reply = response["choices"][0]["message"]["content"]
messages.append({"role": "assistant", "content": ChatGPT_reply})
return ChatGPT_reply
def validate_year_of_study(year_of_study):
if year_of_study < 1 or year_of_study > 4:
raise ValueError("Year of study should be between 1 and 4.")
inputs = [
gr.inputs.Textbox(label="User Input", placeholder="Enter your question or doubt here", lines=2),
gr.inputs.Dropdown(["Mechanical Engineering", "Electrical Engineering", "Civil Engineering"], label="Engineering Branch"),
gr.inputs.Number(label="Year of Study",)
]
outputs = gr.outputs.Textbox(label="Assistant Reply")
title = "Digital Professor"
description = "Ask questions and get assistance from the Digital Professor, a professor and career counsellor for engineering diploma students."
examples = [
["What are the career prospects for mechanical engineering?", "The career prospects for mechanical engineering are diverse. You can work in industries such as automotive, aerospace, energy, and more."],
["Can you help me with my doubt related to electrical circuits?", "Of course! Please provide more details about your doubt related to electrical circuits."],
["What are the key skills required for a successful career in civil engineering?", "Some key skills required for a successful career in civil engineering include problem-solving, analytical thinking, and good communication skills."],
]
gr.Interface(fn=CustomChatGPT, inputs=inputs, outputs=outputs, title=title, description=description, examples=examples, theme="compact").launch()
