mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-23 19:11:48 +03:00
commit
6d09dbf4a9
27
etc/testing/test_api.py
Normal file
27
etc/testing/test_api.py
Normal file
@ -0,0 +1,27 @@
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import openai
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# Set your Hugging Face token as the API key if you use embeddings
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# If you don't use embeddings, leave it empty
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openai.api_key = "YOUR_HUGGING_FACE_TOKEN" # Replace with your actual token
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# Set the API base URL if needed, e.g., for a local development environment
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openai.api_base = "http://localhost:1337/v1"
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def main():
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": "write a poem about a tree"}],
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stream=True,
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)
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if isinstance(response, dict):
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# Not streaming
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print(response.choices[0].message.content)
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else:
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# Streaming
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for token in response:
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content = token["choices"][0]["delta"].get("content")
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if content is not None:
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print(content, end="", flush=True)
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if __name__ == "__main__":
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main()
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@ -83,28 +83,17 @@ class Api:
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model = item_data.get('model')
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stream = True if item_data.get("stream") == "True" else False
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messages = item_data.get('messages')
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conversation = item_data.get('conversation') if item_data.get('conversation') != None else None
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provider = item_data.get('provider').replace('g4f.Provider.', '')
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provider = item_data.get('provider', '').replace('g4f.Provider.', '')
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provider = provider if provider and provider != "Auto" else None
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if provider != None:
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provider = g4f.Provider.ProviderUtils.convert.get(provider)
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try:
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if model == 'pi':
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response = g4f.ChatCompletion.create(
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model=model,
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stream=stream,
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messages=messages,
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conversation=conversation,
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provider = provider,
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ignored=self.list_ignored_providers)
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else:
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response = g4f.ChatCompletion.create(
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model=model,
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stream=stream,
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messages=messages,
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provider = provider,
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ignored=self.list_ignored_providers)
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response = g4f.ChatCompletion.create(
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model=model,
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stream=stream,
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messages=messages,
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provider = provider,
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ignored=self.list_ignored_providers
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)
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except Exception as e:
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logging.exception(e)
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return Response(content=json.dumps({"error": "An error occurred while generating the response."}, indent=4), media_type="application/json")
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@ -179,9 +168,12 @@ class Api:
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content = json.dumps(end_completion_data, separators=(',', ':'))
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yield f'data: {content}\n\n'
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except GeneratorExit:
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pass
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except Exception as e:
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logging.exception(e)
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content=json.dumps({"error": "An error occurred while generating the response."}, indent=4)
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yield f'data: {content}\n\n'
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return StreamingResponse(streaming(), media_type="text/event-stream")
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