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Browse files- app.py +36 -22
- requirements.txt +2 -1
app.py
CHANGED
@@ -32,29 +32,43 @@ def response(message, history):
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {openai_api_key}"
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new_history = []
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for chat in history:
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new_history.append({"parts": [{"text": chat[0]}], "role": "user"})
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new_history.append({"parts": [{"text": chat[1]}], "role": "model"})
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return new_history
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#
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# 建立 Gradio 聊天界面
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gr.ChatInterface(response,
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title='
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textbox=gr.Textbox(placeholder="Question to
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {openai_api_key}"
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}
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# 設置初始的 prompt_instruction
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prompt_instruction = """
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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:
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"""
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prompt_to_gpt = prompt_instruction + message
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# 新增至 conversation_history
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conversation_history.append({"role": "system", "content": prompt_to_gpt})
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# 設置請求的數據
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data = {
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"model": "gpt-4o", # 確認使用的模型是 gpt-4 或 gpt-3.5-turbo
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"messages": conversation_history,
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"max_tokens": 200 # 控制生成的最大令牌數
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}
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# 發送請求到 OpenAI API
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response = requests.post(url, headers=headers, data=json.dumps(data))
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# 處理回應
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response_json = response.json()
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# 提取模型的回應並加入歷史紀錄
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if 'choices' in response_json and len(response_json['choices']) > 0:
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model_response = response_json['choices'][0]['message']['content']
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conversation_history.append({"role": "assistant", "content": model_response})
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# 逐字回傳生成的文字,實現打字機效果
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for i in range(len(model_response)):
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time.sleep(0.05) # 每個字符間隔 0.05 秒
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yield model_response[: i+1]
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else:
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yield "Error: No response from the model."
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# 建立 Gradio 聊天界面
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gr.ChatInterface(response,
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title='OpenAI Chat',
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textbox=gr.Textbox(placeholder="Question to OpenAI")).launch(share=True)
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requirements.txt
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gradio
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#requirements.txt
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gradio
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openai
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