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[Improvements] Add support for creating app from YAML string config (#980)

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This commit is contained in:
Deven Patel
2023-11-29 12:25:30 -08:00
committed by GitHub
parent e35eaf1bfc
commit 406c46e7f4
34 changed files with 351 additions and 179 deletions
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18
docs/components/llms.mdx
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@@ -46,7 +46,7 @@ from embedchain import Pipeline as App
os.environ['OPENAI_API_KEY'] = 'xxx'
# load llm configuration from config.yaml file
app = App.from_config(yaml_path="config.yaml")
app = App.from_config(config_path="config.yaml")
```
```yaml config.yaml
@@ -78,7 +78,7 @@ os.environ["OPENAI_API_BASE"] = "https://xxx.openai.azure.com/"
os.environ["OPENAI_API_KEY"] = "xxx"
os.environ["OPENAI_API_VERSION"] = "xxx"
app = App.from_config(yaml_path="config.yaml")
app = App.from_config(config_path="config.yaml")
```
```yaml config.yaml
@@ -115,7 +115,7 @@ from embedchain import Pipeline as App
os.environ["ANTHROPIC_API_KEY"] = "xxx"
# load llm configuration from config.yaml file
app = App.from_config(yaml_path="config.yaml")
app = App.from_config(config_path="config.yaml")
```
```yaml config.yaml
@@ -152,7 +152,7 @@ from embedchain import Pipeline as App
os.environ["COHERE_API_KEY"] = "xxx"
# load llm configuration from config.yaml file
app = App.from_config(yaml_path="config.yaml")
app = App.from_config(config_path="config.yaml")
```
```yaml config.yaml
@@ -183,7 +183,7 @@ GPT4all is a free-to-use, locally running, privacy-aware chatbot. No GPU or inte
from embedchain import Pipeline as App
# load llm configuration from config.yaml file
app = App.from_config(yaml_path="config.yaml")
app = App.from_config(config_path="config.yaml")
```
```yaml config.yaml
@@ -216,7 +216,7 @@ from embedchain import Pipeline as App
os.environ["JINACHAT_API_KEY"] = "xxx"
# load llm configuration from config.yaml file
app = App.from_config(yaml_path="config.yaml")
app = App.from_config(config_path="config.yaml")
```
```yaml config.yaml
@@ -253,7 +253,7 @@ from embedchain import Pipeline as App
os.environ["HUGGINGFACE_ACCESS_TOKEN"] = "xxx"
# load llm configuration from config.yaml file
app = App.from_config(yaml_path="config.yaml")
app = App.from_config(config_path="config.yaml")
```
```yaml config.yaml
@@ -283,7 +283,7 @@ from embedchain import Pipeline as App
os.environ["REPLICATE_API_TOKEN"] = "xxx"
# load llm configuration from config.yaml file
app = App.from_config(yaml_path="config.yaml")
app = App.from_config(config_path="config.yaml")
```
```yaml config.yaml
@@ -308,7 +308,7 @@ Setup Google Cloud Platform application credentials by following the instruction
from embedchain import Pipeline as App
# load llm configuration from config.yaml file
app = App.from_config(yaml_path="config.yaml")
app = App.from_config(config_path="config.yaml")
```
```yaml config.yaml