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import gradio as gr
import requests
import os
API_URL = os.getenv('API_URL')
ACCESS_KEY = os.getenv('ACCESS_KEY')
mapping_style_en = {
"Close, friendly": "Gần gũi, thân thiện",
"Short, concise": "Ngắn gọn, xúc tích",
"Emotions": "Nhiều cảm xúc",
}
# Gọi API và trả về comment
def generate_comment(
title,
style,
content,
bodyLanguage,
facialEyeContact,
voice,
pronunciation,
fluency
):
payload = {
"title": title,
"style": mapping_style_en.get(style, style), # Chuyển đổi style sang tiếng Việt
"content": content,
"bodyLanguage": bodyLanguage,
"facialEyeContact": facialEyeContact,
"voice": voice,
"pronunciation": pronunciation,
"fluency": fluency
}
headers = {
"accept": "application/json",
"access-key": ACCESS_KEY,
"Content-Type": "application/json",
}
resp = requests.post(API_URL, headers=headers, json=payload)
if resp.ok:
return resp.json().get("data", {}).get("vietnamese", "No comment")
return f"Error {resp.status_code}: {resp.text}"
# Các lựa chọn chung cho radio buttons
base_choices = [
"1 - Needs Work (Hard to follow or lacks structure)",
"2 - Good (Clear but simple structure or idea)",
"3 - Excellent (Clear, well-organized, logical structure, and interesting ideas)",
]
content_choices = base_choices
body_language_choices = [
"1 - Needs Work (No hand gestures or distracting movements)",
"2 - Good (Student sometimes uses hand gestures appropriately)",
"3 - Excellent (Student uses hand gestures confidently to support message)",
]
facial_eye_contact_choices = [
"1 - Needs Work (Looks away from camera (e.g., down or to the side), no expression)",
"2 - Good (Sometimes looks at camera, with some expression)",
"3 - Excellent (Student looks directly at camera, with appropriate facial expression)",
]
voice_choices = [
"1 - Needs Work (Too quiet, flat or hard to hear)",
"2 - Good (Mostly clear and loud)",
"3 - Excellent (Clear, loud, varied tone)",
]
pronunciation_choices = [
"1 - Needs Work (Hard to understand, many pronunciation mistakes)",
"2 - Good (Mostly clear, some errors)",
"3 - Excellent (Easy to understand, correct pronunciation)",
]
fluency_choices = [
"1 - Needs Work (Frequent pauses, hard to follow)",
"2 - Good (Some hesitation or uneven pace)",
"3 - Excellent (Speaks smoothly, natural pace, few pauses or fillers)",
]
with gr.Blocks(gr.themes.Origin()) as demo:
with gr.Row():
with gr.Column():
with gr.Group():
title = gr.Radio(["Cô", "Thầy"], label="Title", value="Cô")
with gr.Group():
style = gr.Radio(["Short, concise", "Close, friendly"], label="Writing tone", value="Short, concise")
with gr.Group():
content = gr.Radio(content_choices, label="Content (incl. Structure)", value=content_choices[1])
with gr.Group():
voice = gr.Radio(voice_choices, label="Voice", value=voice_choices[1])
with gr.Group():
pronunciation = gr.Radio(pronunciation_choices, label="Pronunciation", value=pronunciation_choices[1])
with gr.Column():
with gr.Group():
bodyLanguage = gr.Radio(body_language_choices, label="Body Language", value=body_language_choices[1])
with gr.Group():
facialEyeContact = gr.Radio(facial_eye_contact_choices, label="Facial Expression + Eye Contact", value=facial_eye_contact_choices[1])
with gr.Group():
fluency = gr.Radio(fluency_choices, label="Fluency", value=fluency_choices[1])
with gr.Column():
gen_btn = gr.Button("Generate comment")
output = gr.Textbox(label="Teacher’s Comment", lines=5)
gen_btn.click(
generate_comment,
[title, style, content, bodyLanguage, facialEyeContact, voice, pronunciation, fluency],
output,
)
demo.launch(server_name="0.0.0.0")
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