Spaces:
Runtime error
Runtime error
File size: 2,828 Bytes
3320d93 35691fd 3320d93 37fb8e6 35691fd a1e618e 888c9ce 37fb8e6 888c9ce a1e618e 888c9ce a1e618e 2e48300 888c9ce 512a608 2e48300 512a608 2e48300 37fb8e6 2e48300 35691fd 888c9ce a1e618e 888c9ce a1e618e 37fb8e6 a1e618e 35691fd 888c9ce 8a4df17 888c9ce 8a4df17 a1e618e 888c9ce 8a4df17 a9cdc03 a1e618e 35691fd 37fb8e6 35691fd 888c9ce a1e618e 888c9ce 37fb8e6 a1e618e 2e48300 37fb8e6 901ff66 888c9ce 35691fd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
import gradio as gr
from huggingface_hub import InferenceClient
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
def set_type(choice, user_profile):
user_profile["interview_type"] = choice.lower()
return f"Great! What’s your background and what field/role are you aiming for?", user_profile
def save_background(info, user_profile):
user_profile["field"] = info
return "Awesome! Type 'start' below to begin your interview.", user_profile
def respond(message, history, user_profile):
if not user_profile["interview_type"] or not user_profile["field"]:
return "Please finish steps 1 and 2 before starting the interview."
messages = [
{
"role": "system",
"content": f"You are a professional interviewer conducting a {user_profile['interview_type']} interview for a candidate in the {user_profile['field']} field."
}
]
if history:
messages.extend(history)
messages.append({"role": "user", "content": message})
response = client.chat_completion(
messages,
max_tokens=150,
stream=False
)
return response.choices[0].message.content
with gr.Blocks() as demo:
user_profile = gr.State({"interview_type": "", "field": ""})
gr.Markdown("# 🎤 Welcome to Intervu")
# Step 1
gr.Markdown("### Step 1: Choose Interview Type")
with gr.Row():
behavioral_val = gr.Textbox(value="Behavioral", visible=False)
technical_val = gr.Textbox(value="Technical", visible=False)
college_val = gr.Textbox(value="College", visible=False)
btn1 = gr.Button("Behavioral")
btn2 = gr.Button("Technical")
btn3 = gr.Button("College / Scholarship")
type_out = gr.Textbox(label="Bot", interactive=False)
btn1.click(set_type, inputs=[behavioral_val, user_profile], outputs=[type_out, user_profile])
btn2.click(set_type, inputs=[technical_val, user_profile], outputs=[type_out, user_profile])
btn3.click(set_type, inputs=[college_val, user_profile], outputs=[type_out, user_profile])
# Step 2
gr.Markdown("### Step 2: Enter Your Background")
background = gr.Textbox(label="Your background and field/goal")
background_btn = gr.Button("Submit Background")
background_out = gr.Textbox(label="Bot", interactive=False)
background_btn.click(save_background, inputs=[background, user_profile], outputs=[background_out, user_profile])
# Step 3
gr.Markdown("### Step 3: Start Interview")
chatbot = gr.ChatInterface(
fn=lambda msg, hist: respond(msg, hist, user_profile.value),
title="Intervu - AI Interview Practice",
chatbot=gr.Chatbot(label="Interview Bot"),
input_textbox=gr.Textbox(placeholder="Type your answer here..."),
type="messages"
)
demo.launch()
|