| 1 | import openai |
| 2 | from openai import OpenAI |
| 3 | |
| 4 | |
| 5 | client_gpt = OpenAI(api_key = "<OpenAI API Key>") |
| 6 | client_deepseek = OpenAI(api_key = "<DeepSeek API Key>", base_url="https://api.deepseek.com") |
| 7 | |
| 8 | |
| 9 | |
| 10 | def LLMCall(prompt, model): |
| 11 | counter = 0 |
| 12 | result = "api调用失败" |
| 13 | if "gpt" in model: |
| 14 | client = client_gpt |
| 15 | if "deepseek" in model: |
| 16 | client = client_deepseek |
| 17 | while counter < 3: |
| 18 | try: |
| 19 | completion = client.chat.completions.create( |
| 20 | model = model, |
| 21 | messages=[ |
| 22 | {"role": "user", "content": prompt}, |
| 23 | ], |
| 24 | stream=False |
| 25 | ) |
| 26 | result = completion.choices[0].message.content |
| 27 | print(f"%%%%%%%%%%%%%%%%%%%%%%%%\n{result}\n%%%%%%%%%%%%%%%%%%%%%%%") |
| 28 | break |
| 29 | |
| 30 | except Exception as e: |
| 31 | print(e) |
| 32 | counter += 1 |
| 33 | |
| 34 | return result |
| 35 | |
| 36 | |
| 37 | |
| 38 | |
| 39 | def GPTTTS(text, role): |
| 40 | client = client_gpt |
| 41 | response = client.audio.speech.create( |
| 42 | model = "tts-1", |
| 43 | voice = role, |
| 44 | input = text, |
| 45 | response_format = "mp3" |
| 46 | ) |
| 47 | |
| 48 | return response |
| 49 |