Merge pull request #258 from sweetlilmre/add-azure-compat
Added functionality to allow the use of GPT on a Microsoft Azure instancepull/122/head^2
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a9451f4961
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@ -3,4 +3,8 @@ ELEVENLABS_API_KEY=your-elevenlabs-api-key
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SMART_LLM_MODEL="gpt-4"
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FAST_LLM_MODEL="gpt-3.5-turbo"
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GOOGLE_API_KEY=
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CUSTOM_SEARCH_ENGINE_ID=
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CUSTOM_SEARCH_ENGINE_ID=
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USE_AZURE=False
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OPENAI_API_BASE=your-base-url-for-azure
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OPENAI_API_VERSION=api-version-for-azure
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OPENAI_DEPLOYMENT_ID=deployment-id-for-azure
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@ -92,6 +92,7 @@ pip install -r requirements.txt
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4. Rename `.env.template` to `.env` and fill in your `OPENAI_API_KEY`. If you plan to use Speech Mode, fill in your `ELEVEN_LABS_API_KEY` as well.
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- Obtain your OpenAI API key from: https://platform.openai.com/account/api-keys.
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- Obtain your ElevenLabs API key from: https://elevenlabs.io. You can view your xi-api-key using the "Profile" tab on the website.
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- If you want to use GPT on an Azure instance, set `USE_AZURE` to `True` and provide the `OPENAI_API_BASE`, `OPENAI_API_VERSION` and `OPENAI_DEPLOYMENT_ID` values as explained here: https://pypi.org/project/openai/ in the `Microsoft Azure Endpoints` section
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## 🔧 Usage
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@ -34,6 +34,16 @@ class Config(metaclass=Singleton):
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self.smart_token_limit = int(os.getenv("SMART_TOKEN_LIMIT", 8000))
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self.openai_api_key = os.getenv("OPENAI_API_KEY")
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self.use_azure = False
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self.use_azure = os.getenv("USE_AZURE") == 'True'
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if self.use_azure:
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self.openai_api_base = os.getenv("OPENAI_API_BASE")
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self.openai_api_version = os.getenv("OPENAI_API_VERSION")
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self.openai_deployment_id = os.getenv("OPENAI_DEPLOYMENT_ID")
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openai.api_type = "azure"
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openai.api_base = self.openai_api_base
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openai.api_version = self.openai_api_version
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self.elevenlabs_api_key = os.getenv("ELEVENLABS_API_KEY")
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self.google_api_key = os.getenv("GOOGLE_API_KEY")
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@ -6,11 +6,20 @@ openai.api_key = cfg.openai_api_key
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# Overly simple abstraction until we create something better
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def create_chat_completion(messages, model=None, temperature=None, max_tokens=None)->str:
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response = openai.ChatCompletion.create(
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model=model,
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messages=messages,
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temperature=temperature,
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max_tokens=max_tokens
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)
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if cfg.use_azure:
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response = openai.ChatCompletion.create(
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deployment_id=cfg.openai_deployment_id,
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model=model,
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messages=messages,
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temperature=temperature,
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max_tokens=max_tokens
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)
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else:
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response = openai.ChatCompletion.create(
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model=model,
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messages=messages,
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temperature=temperature,
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max_tokens=max_tokens
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)
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return response.choices[0].message["content"]
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