Create app.py

app.py

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+import gradio as gr
+from wordcloud import WordCloud
+import matplotlib.pyplot as plt
+import openai
+import matplotlib as mpl
+import matplotlib.font_manager as fm
+import jieba
+import jieba.analyse
+
+# 載入停用詞
+def load_stopwords(file_path):
+    stopwords = set()
+    with open(file_path, 'r', encoding='utf-8') as f:
+        for line in f:
+            stopwords.add(line.strip())
+    return stopwords
+
+# 加載停用詞
+stopwords = load_stopwords("stopwords.txt")
+
+# 使用 OpenAI API 進行情緒分析
+def analyze_text(api_key, text):
+    try:
+        openai.api_key = api_key
+        response = openai.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role": "user", "content": f"範例輸出：正面情緒。請分析此文本情緒，輸出其主要為正面、負面或中性情緒: {text}"}
+            ]
+        )
+        return response.choices[0].message.content, None  # 返回分析結果
+    except Exception as e:
+        error_message = f"錯誤發生: {str(e)}"
+        print(error_message)
+        return None, error_message  # 返回錯誤訊息
+
+# 文本處理函數
+def process_text(api_key, text, colormap):
+    # 使用 jieba 進行中文分詞並過濾停用詞
+    words = [word for word in jieba.cut(text) if word not in stopwords]
+    words_filtered = " ".join(words)
+
+    # 生成文字雲
+    wordcloud = WordCloud(
+        font_path='TaipeiSansTCBeta-Regular.ttf',  # 繁體中文字型
+        width=400,
+        height=200,
+        colormap=colormap,  # 套用選擇的顏色地圖
+        background_color='white',
+        min_font_size=10,
+        max_words=200
+    ).generate(words_filtered)
+
+    # 保存圖片
+    fig, ax = plt.subplots(figsize=(8, 4))
+    ax.imshow(wordcloud, interpolation='bilinear')
+    ax.axis('off')
+    plt.savefig("wordcloud.png", bbox_inches='tight', pad_inches=0)
+    plt.close(fig)
+
+    # 呼叫情緒分析函數
+    analysis_result, error = analyze_text(api_key, text)
+    return "wordcloud.png", analysis_result
+
+# 加載字型
+fm.fontManager.addfont('TaipeiSansTCBeta-Regular.ttf')
+mpl.rc('font', family='Taipei Sans TC Beta')
+
+# jieba 設定
+jieba.set_dictionary("dict.txt")
+jieba.analyse.set_stop_words("stopwords.txt")
+
+# 定義僅限圖片中提供的顏色地圖
+color_maps = [
+    "Greys", "Purples", "Blues", "Greens", "Oranges", "Reds",
+    "YlOrBr", "YlOrRd", "OrRd", "PuRd", "RdPu", "BuPu", "GnBu",
+    "PuBu", "YlGnBu", "PuBuGn", "BuGn", "YlGn"
+]
+
+# 創建 Gradio 介面
+iface = gr.Interface(
+    fn=process_text,
+    inputs=[
+        gr.Textbox(label="請輸入你的 API 金鑰", placeholder="在此輸入 API 金鑰...", type="password"),
+        gr.Textbox(label="請輸入文本", placeholder="在此輸入文本...", lines=5),
+        gr.Dropdown(label="選擇文字雲風格", choices=color_maps, value="Blues")
+    ],
+    outputs=[gr.Image(type="filepath"), "text"],
+    title="文字雲與情緒分析工具",
+    description="輸入中文或英文文本，生成文字雲並分析其情緒（正面、負面或中性）。"
+)
+
+# 啟動介面
+iface.launch()