Upload app.py

app.py

@@ -0,0 +1,53 @@
+# ---
+# jupyter:
+#   jupytext:
+#     formats: ipynb,py:light
+#     text_representation:
+#       extension: .py
+#       format_name: light
+#       format_version: '1.5'
+#       jupytext_version: 1.14.1
+#   kernelspec:
+#     display_name: Python 3 (ipykernel)
+#     language: python
+#     name: python3
+# ---
+
+# +
+import gradio as gr
+import requests
+import json
+from utils import get_story, get_voice_filename, get_music
+
+with gr.Blocks() as performance:
+    with gr.Tab("Story Generation"):
+        chatbot = gr.Chatbot(label='GPT4', elem_id="chatbot")
+        input_text = gr.Textbox(lines=2, label="시작 문장")
+        input_number = gr.Number(label='문장수', value=20)
+        state = gr.State([])
+        with gr.Row():
+            with gr.Column():
+                b1 = gr.Button().style(full_width=True)
+        b1.click(get_story, [input_text, input_number, chatbot, state], [chatbot, state])
+
+    with gr.Tab("Voice Generation"):
+        input_text = gr.Textbox(lines=10, label="문장")
+        input_gender = gr.Radio(choices=["남성", "여성"], value="남성", label="성별")
+        input_age = gr.Radio(choices=["어린이", "청소년", "청년", "중년"], value='청년', label="연령대")
+        with gr.Row():
+            with gr.Column():
+                b2 = gr.Button().style(full_width=True)
+        b2.click(get_voice_filename, [input_text, input_gender, input_age], [gr.Audio(label="결과 음성 파일", type="filepath")])
+
+    with gr.Tab("Music Generation"):
+        input_text = gr.Textbox(lines=10, label="문장")
+        input_duration = gr.Number(label="음악 시간(s)", value=30)
+        with gr.Row():
+            with gr.Column():
+                b3 = gr.Button().style(full_width=True)
+        b3.click(get_music, [input_text, input_duration], gr.Audio(label="결과 음악 파일", type='filepath'))
+
+performance.queue(max_size=5).launch()
+# -
+
+