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adding new line to md files
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goudete committed Oct 16, 2023
1 parent c59023b commit 1a83427
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2 changes: 1 addition & 1 deletion docs/bitcoin_chart.md
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Expand Up @@ -14,4 +14,4 @@ response.files[0].show_image() # Show the chart image
The session handles executing the python code to generate the chart in the sandboxed environment. The response contains the chart image that can be displayed.

![Bitcoin Chart Output](https://raw.githubusercontent.com/shroominic/codeinterpreter-api/main/examples/assets/bitcoin_chart.png)
Bitcoin Chart Output
Bitcoin Chart Output
2 changes: 1 addition & 1 deletion docs/code_interpreter_response.md
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Expand Up @@ -5,4 +5,4 @@ It contains:

- `content`: text response content
- `files`: list of generated File attachments
- `code_log`: log of executed code snippets
- `code_log`: log of executed code snippets
2 changes: 1 addition & 1 deletion docs/code_interpreter_session.md
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Expand Up @@ -35,4 +35,4 @@ from codeinterpreterapi import CodeInterpreterSession
with CodeInterpreterSession() as session:
response = session.generate_response("Plot a histogram of the data")
print(response.content) # print AI response
```
```
2 changes: 1 addition & 1 deletion docs/codebox.md
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Expand Up @@ -21,4 +21,4 @@ codebox.upload("data.csv", b"1,2,3\
4,5,6")
output = codebox.run("import pandas as pd; df = pd.read_csv('data.csv')")
print(output.content)
```
```
2 changes: 1 addition & 1 deletion docs/concepts_overview.md
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Expand Up @@ -5,4 +5,4 @@
| CodeBox | Handles code execution in a sandboxed environment |
| File | Represents a file for upload/download to CodeBox |
| UserRequest | User input message with optional file attachments |
| CodeInterpreterResponse | AI response message with optional files and code log |
| CodeInterpreterResponse | AI response message with optional files and code log |
2 changes: 1 addition & 1 deletion docs/deploy.md
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Expand Up @@ -61,4 +61,4 @@ This will shutdown the CodeBox instance.

- See the [CodeBox docs](https://codeboxapi.com/docs) for more details on deployment options.
- Look at the [examples](https://github.com/shroominic/codebox-api/tree/main/examples) for more usage ideas.
- Contact [Shroominic](https://twitter.com/shroominic) for assistance with scaling.
- Contact [Shroominic](https://twitter.com/shroominic) for assistance with scaling.
2 changes: 1 addition & 1 deletion docs/file.md
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Expand Up @@ -20,4 +20,4 @@ file.show_image() # display image
file.save("copy.png") # save copy
```

File objects can be passed to `CodeInterpreterSession.generate_response` to make them available to the agent.
File objects can be passed to `CodeInterpreterSession.generate_response` to make them available to the agent.
2 changes: 1 addition & 1 deletion docs/installation.md
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Expand Up @@ -39,4 +39,4 @@ OPENAI_API_TYPE=azure
OPENAI_API_VERSION=2023-07-01-preview
OPENAI_API_BASE=
DEPLOYMENT_NAME=
```
```
2 changes: 1 addition & 1 deletion docs/iris_dataset.md
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Expand Up @@ -29,4 +29,4 @@ if __name__ == "__main__":
```

![Iris Dataset Analysis](https://github.com/shroominic/codeinterpreter-api/blob/main/examples/assets/iris_analysis.png?raw=true)
Iris Dataset Analysis Output
Iris Dataset Analysis Output
2 changes: 1 addition & 1 deletion docs/streamlit_webapp.md
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Expand Up @@ -12,4 +12,4 @@ This will launch the webapp where you can:
- Download any files produced by the API
- Switch between different models like GPT-3.5 Turbo

So the webapp allows easily leveraging the API through a graphical interface.
So the webapp allows easily leveraging the API through a graphical interface.
2 changes: 1 addition & 1 deletion docs/usage.md
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Expand Up @@ -16,4 +16,4 @@ with CodeInterpreterSession() as session:

# output the response
response.show()
```
```
2 changes: 1 addition & 1 deletion docs/user_request.md
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Expand Up @@ -15,4 +15,4 @@ request = UserRequest(
content="Here is an image",
files=[File.from_path("image.png")]
)
```
```
2 changes: 1 addition & 1 deletion docs/welcome.md
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Expand Up @@ -6,4 +6,4 @@ Some key features:
- Sandboxed execution of Python code snippets provided by the AI assistant using CodeBox. CodeBox is the simplest cloud infrastructure for your LLM Apps.
- Automatic handling of file uploads/downloads
- Support for stateful conversations with chat history
- Extensible architecture to add custom tools and logic
- Extensible architecture to add custom tools and logic

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