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Gradio Local Editor cookbook #826

Merged
merged 3 commits into from
Jan 10, 2024
Merged

Gradio Local Editor cookbook #826

merged 3 commits into from
Jan 10, 2024

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saqadri
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@saqadri saqadri commented Jan 9, 2024

The HF prompt schema has been updated in #850 to support a "model" property, which can specify the model to use for a given HF task.

This change updates the model parsers to use this setting.

Test Plan:

Tested with the following prompt:
```
    {
      "name": "image_caption",
      "input": {
        "attachments": [
          {
            "data": "https://s3.amazonaws.com/lastmileai.aiconfig.public/uploads/2024_1_10_18_41_31/1742/bear_with_honey.png",
            "mime_type": "image/png"
          },
          {
            "data": "https://s3.amazonaws.com/lastmileai.aiconfig.public/uploads/2024_1_10_18_41_31/7275/fox_in_forest.png",
            "mime_type": "image/png"
          }
        ]
      },
      "metadata": {
        "model": {
          "name": "HuggingFaceImage2TextTransformer",
          "settings": {
            "max_new_tokens": 10,
            "model": "Salesforce/blip-image-captioning-base"
          }
        },
        "parameters": {}
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 0,
          "data": "a bear sitting on a rock eating honey",
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "execution_count": 1,
          "data": "a red fox in the woods",
          "metadata": {}
        }
      ]
    },
```

Validated the the model setting was respected and worked.

## Prompt IDE with LastMile AI

This cookbook is meant to demonstrate the capabilities of the AI Workbook editor. It can run inference against locally hosted or remote models from many inference providers, including Hugging Face, OpenAI and others.
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Should "AI Workbook editor" be "local AIConfig Editor"?


It supports text, image and audio model formats, allowing you to easily chain them together in a single notebook session!

With `aiconfig`, it lets you save the state in a single json config file which you can version control or share with others.
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nit, "it lets you" --> "you can"

**Instructions**:

- Clone https://github.com/lastmile-ai/aiconfig
- Go back to top-level directory: `cd <aiconfig>`
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nit, just "Go", no "back"

Comment on lines +52 to +56
## TODO

- Publish new version of aiconfig_extension_hugging_face package
- Update huggingface.aiconfig.json with clean examples
- Add video demo
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Can remove TODO

Now that we have non-text input model parsers, we can see some issues in our parameterization.

1) ASR and Image-to-Text modelparsers should NOT be `ParameterizedModelParser` instances, since their inputs cannot be parameterized.

2) Parameter resolution logic shouldn't throw errors in the case where it's parsing prompts belonging to regular model parsers.

Test Plan:
Ran the translation prompt for this aiconfig:

```
prompts: [
{
      "name": "image_caption",
      "input": {
        "attachments": [
          {
            "data": "https://s3.amazonaws.com/lastmileai.aiconfig.public/uploads/2024_1_10_18_41_31/1742/bear_with_honey.png",
            "mime_type": "image/png"
          },
          {
            "data": "https://s3.amazonaws.com/lastmileai.aiconfig.public/uploads/2024_1_10_18_41_31/7275/fox_in_forest.png",
            "mime_type": "image/png"
          }
        ]
      },
      "metadata": {
        "model": {
          "name": "HuggingFaceImage2TextTransformer",
          "settings": {
            "max_new_tokens": 10,
            "model": "Salesforce/blip-image-captioning-base"
          }
        },
        "parameters": {}
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 0,
          "data": "a bear sitting on a rock eating honey",
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "execution_count": 1,
          "data": "a red fox in the woods",
          "metadata": {}
        }
      ]
    },
    {
      "name": "translation",
      "input": "Once upon a time, in a lush and vibrant forest, there lived a magnificent creature known as the Quick Brown Fox. This fox was unlike any other, possessing incredible speed and agility that awed all the animals in the forest. With its fur as golden as the sun and its eyes as sharp as emeralds, the Quick Brown Fox was admired by everyone, from the tiniest hummingbird to the mightiest bear. The fox had a kind heart and would often lend a helping paw to those in need. The Quick Brown Fox had a particular fondness for games and challenges. It loved to test its skills against others, always seeking new adventures to satisfy its boundless curiosity. Its favorite game was called \"The Great Word Hunt,\" where it would embark on a quest to find hidden words scattered across the forest. \n\nOne day it got very old and died",
      "metadata": {
        "model": {
          "name": "HuggingFaceTextTranslationTransformer",
          "settings": {
            "model": "Helsinki-NLP/opus-mt-en-fr",
            "max_length": 100,
            "min_length": 50,
            "num_beams": 1
          }
        },
        "parameters": {}
      }
    }
]
```

Before:

```
File "/opt/homebrew/lib/python3.11/site-packages/aiconfig/util/params.py", line 235, in get_prompt_template
    raise Exception(f"Cannot get prompt template string from prompt: {prompt.input}")
Exception: Cannot get prompt template string from prompt: attachments=[Attachment(data='https://s3.amazonaws.com/lastmileai.aiconfig.public/uploads/2024_1_10_18_41_31/1742/bear_with_honey.png', mime_type='image/png', metadata=None), Attachment(data='https://s3.amazonaws.com/lastmileai.aiconfig.public/uploads/2024_1_10_18_41_31/7275/fox_in_forest.png', mime_type='image/png', metadata=None)] data=None
```

After:
* Beautiful translation
@rholinshead
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LGTM, just nits

saqadri added a commit that referenced this pull request Jan 10, 2024
Fix parameterization issues

Now that we have non-text input model parsers, we can see some issues in
our parameterization.

1) ASR and Image-to-Text modelparsers should NOT be
`ParameterizedModelParser` instances, since their inputs cannot be
parameterized.

2) Parameter resolution logic shouldn't throw errors in the case where
it's parsing prompts belonging to regular model parsers.

Test Plan:
Ran the translation prompt for this aiconfig:

```
prompts: [
{
      "name": "image_caption",
      "input": {
        "attachments": [
          {
            "data": "https://s3.amazonaws.com/lastmileai.aiconfig.public/uploads/2024_1_10_18_41_31/1742/bear_with_honey.png",
            "mime_type": "image/png"
          },
          {
            "data": "https://s3.amazonaws.com/lastmileai.aiconfig.public/uploads/2024_1_10_18_41_31/7275/fox_in_forest.png",
            "mime_type": "image/png"
          }
        ]
      },
      "metadata": {
        "model": {
          "name": "HuggingFaceImage2TextTransformer",
          "settings": {
            "max_new_tokens": 10,
            "model": "Salesforce/blip-image-captioning-base"
          }
        },
        "parameters": {}
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 0,
          "data": "a bear sitting on a rock eating honey",
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "execution_count": 1,
          "data": "a red fox in the woods",
          "metadata": {}
        }
      ]
    },
    {
      "name": "translation",
      "input": "Once upon a time, in a lush and vibrant forest, there lived a magnificent creature known as the Quick Brown Fox. This fox was unlike any other, possessing incredible speed and agility that awed all the animals in the forest. With its fur as golden as the sun and its eyes as sharp as emeralds, the Quick Brown Fox was admired by everyone, from the tiniest hummingbird to the mightiest bear. The fox had a kind heart and would often lend a helping paw to those in need. The Quick Brown Fox had a particular fondness for games and challenges. It loved to test its skills against others, always seeking new adventures to satisfy its boundless curiosity. Its favorite game was called \"The Great Word Hunt,\" where it would embark on a quest to find hidden words scattered across the forest. \n\nOne day it got very old and died",
      "metadata": {
        "model": {
          "name": "HuggingFaceTextTranslationTransformer",
          "settings": {
            "model": "Helsinki-NLP/opus-mt-en-fr",
            "max_length": 100,
            "min_length": 50,
            "num_beams": 1
          }
        },
        "parameters": {}
      }
    }
]
```

Before:

```
File "/opt/homebrew/lib/python3.11/site-packages/aiconfig/util/params.py", line 235, in get_prompt_template
    raise Exception(f"Cannot get prompt template string from prompt: {prompt.input}")
Exception: Cannot get prompt template string from prompt: attachments=[Attachment(data='https://s3.amazonaws.com/lastmileai.aiconfig.public/uploads/2024_1_10_18_41_31/1742/bear_with_honey.png', mime_type='image/png', metadata=None), Attachment(data='https://s3.amazonaws.com/lastmileai.aiconfig.public/uploads/2024_1_10_18_41_31/7275/fox_in_forest.png', mime_type='image/png', metadata=None)] data=None
```

After:
* Beautiful translation

---
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with
[ReviewStack](https://reviewstack.dev/lastmile-ai/aiconfig/pull/866).
* #826
* __->__ #866
* #863
@saqadri saqadri merged commit b9ef01f into main Jan 10, 2024
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@saqadri
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saqadri commented Jan 10, 2024

Will clean up readme afterwards. Thanks @rholinshead

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3 participants