Upload 2 files

app (1).py

@@ -0,0 +1,74 @@
+import time
+import gradio as gr
+import openai
+import os
+import requests
+import json
+
+# 從 Hugging Face secrets 中讀取 OpenAI API 金鑰
+api_key = os.getenv('OPENAI_API_KEY')
+if not api_key:
+    raise ValueError("請設置 'OPENAI_API_KEY' 環境變數")
+
+# OpenAI API key
+openai_api_key = api_key
+
+# 將 Gradio 的歷史紀錄轉換為 OpenAI 格式
+def transform_history(history):
+    new_history = []
+    for chat in history:
+        new_history.append({"role": "user", "content": chat[0]})
+        new_history.append({"role": "assistant", "content": chat[1]})
+    return new_history
+
+# 回應生成函數，使用 requests 來呼叫 OpenAI API
+def response(message, history):
+    global conversation_history
+
+    # 將 Gradio 的歷史紀錄轉換為 OpenAI 的格式
+    conversation_history = transform_history(history)
+
+    url = "https://api.openai.com/v1/chat/completions"
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {openai_api_key}"
+    }
+
+    # 設置初始的 prompt_instruction
+    prompt_instruction = """
+    你是廖老師的專業小助教，名字叫做 '小確' ，要以專業、熱情、善解人意且非常有禮貌，親切的的口氣，與用戶互動並解答問題:
+    """
+    prompt_to_gpt = prompt_instruction + message
+
+    # 新增至 conversation_history
+    conversation_history.append({"role": "system", "content": prompt_to_gpt})
+
+    # 設置請求的數據
+    data = {
+        "model": "gpt-4o",  # 確認使用的模型是 gpt-4 或 gpt-3.5-turbo
+        "messages": conversation_history,
+        "max_tokens": 200  # 控制生成的最大令牌數
+    }
+
+    # 發送請求到 OpenAI API
+    response = requests.post(url, headers=headers, data=json.dumps(data))
+
+    # 處理回應
+    response_json = response.json()
+
+    # 提取模型的回應並加入歷史紀錄
+    if 'choices' in response_json and len(response_json['choices']) > 0:
+        model_response = response_json['choices'][0]['message']['content']
+        conversation_history.append({"role": "assistant", "content": model_response})
+
+        # 逐字回傳生成的文字，實現打字機效果
+        for i in range(len(model_response)):
+            time.sleep(0.05)  # 每個字符間隔 0.05 秒
+            yield model_response[: i+1]
+    else:
+        yield "Error: No response from the model."
+
+# 建立 Gradio 聊天界面
+gr.ChatInterface(response,
+                 title='OpenAI Chat',
+                 textbox=gr.Textbox(placeholder="Question to OpenAI")).launch(share=True)

requirements (1).txt

@@ -0,0 +1,3 @@
+#requirements.txt
+gradio
+openai