Update app.py

app.py

@@ -1,40 +1,28 @@
-# PART 1: Import the necessary modules
-from flask import Flask, render_template, request
 import openai
+import gradio as gr
 
-# PART 2: Set your OpenAI API key
+# 設定你的 OpenAI API 金鑰
 api_key = "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"
+openai.api_key = api_key
 
-# PART 3: Create a Flask web application
-app = Flask(__name__)
-
-# PART A: Define the home route
-@app.route('/')
-def index():
-    # Render the index.html template with no question and result values
-    return render_template('index.html', question=None, result=None)
-
-
-# PART B: Define the submit route
-@app.route('/', methods=['POST'])
-def submit():
-    # Retrieve the prompt from the form submission
-    prompt = request.form['prompt']   
-    # Call the access_openai function passing in the prompt value
-    result = access_openai(prompt)   
-    # Render the index.html template with the prompt and result values
-    return render_template('index.html', question=prompt, result=result)
-
-
-# Part C: Define the access_openai function
-
-def access_openai(prompt_value):
-    openai.api_key = api_key
+# 定義呼叫 OpenAI API 的函數
+def translate_text(prompt):
     response = openai.Completion.create(
         model="text-davinci-003",
-        prompt=f"請將以下的內容翻譯為英文：\n\n {prompt_value}",
+        prompt=f"請將以下的內容翻譯為英文：\n\n{prompt}",
         max_tokens=200,
     )
     result = response.choices[0].text.strip()
-    print(result)
-    return result
+    return result
+
+# 使用 Gradio 建立 UI
+interface = gr.Interface(
+    fn=translate_text, 
+    inputs="text", 
+    outputs="text", 
+    title="中文翻譯器",
+    description="輸入中文句子，將其翻譯為英文。",
+)
+
+# 啟動應用程式
+interface.launch()