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Python chat streaming (#1127)
* Support streaming in chat session * Uncommented tests
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@@ -64,7 +64,6 @@ Use the GPT4All `chat_session` context manager to hold chat conversations with t
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}
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]
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```
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When using GPT4All models in the chat_session context:
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- The model is given a prompt template which makes it chatty.
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@@ -79,7 +78,7 @@ When using GPT4All models in the chat_session context:
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### Streaming Generations
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To interact with GPT4All responses as the model generates, use the `streaming = True` flag during generation.
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=== "GPT4All Example"
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=== "GPT4All Streaming Example"
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``` py
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from gpt4all import GPT4All
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model = GPT4All("orca-mini-3b.ggmlv3.q4_0.bin")
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@@ -93,4 +92,22 @@ To interact with GPT4All responses as the model generates, use the `streaming =
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[' Paris', ' is', ' a', ' city', ' that', ' has', ' been', ' a', ' major', ' cultural', ' and', ' economic', ' center', ' for', ' over', ' ', '2', ',', '0', '0']
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```
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#### Streaming and Chat Sessions
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When streaming tokens in a chat session, you must manually handle collection and updating of the chat history.
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```python
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from gpt4all import GPT4All
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model = GPT4All("orca-mini-3b.ggmlv3.q4_0.bin")
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with model.chat_session():
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tokens = list(model.generate(prompt='hello', top_k=1, streaming=True))
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model.current_chat_session.append({'role': 'assistant', 'content': ''.join(tokens)})
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tokens = list(model.generate(prompt='write me a poem about dogs', top_k=1, streaming=True))
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model.current_chat_session.append({'role': 'assistant', 'content': ''.join(tokens)})
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print(model.current_chat_session)
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```
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::: gpt4all.gpt4all.GPT4All
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