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Enhance README :: Add Cost-Effective PDF to Markdown Conversion Using AWS Bedrock Models #129

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Enhance README :: Add Cost-Effective PDF to Markdown Conversion Using AWS Bedrock Models #129

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14 changes: 13 additions & 1 deletion README.md
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Expand Up @@ -197,14 +197,26 @@ os.environ["AZURE_API_VERSION"] = "" # "2023-05-15"


###################### Example for Gemini ######################
model = "gemini/gpt-4o-mini" ## "gemini/<gemini_model>" -> format <provider>/<model>
model = "gemini/gemini-1.5-flash" ## "gemini/<gemini_model>" -> format <provider>/<model>
os.environ['GEMINI_API_KEY'] = "" # your-gemini-api-key


###################### Example for Anthropic ######################
model="claude-3-opus-20240229"
os.environ["ANTHROPIC_API_KEY"] = "" # your-anthropic-api-key


###################### Example for AWS Bedrock ######################
# AWS Bedrock requires the library `boto3`
# !pip install boto3
model = "bedrock/anthropic.claude-3-haiku-20240307-v1:0"
model = "bedrock/amazon.nova-pro-v1:0"
model = "bedrock/amazon.nova-lite-v1:0"
os.environ["AWS_ACCESS_KEY_ID"] = "" # your-aws-access-api-key
os.environ["AWS_SECRET_ACCESS_KEY"] = "" # your-aws-secret-access-key
os.environ["AWS_REGION_NAME"] = "" # your-region-name


###################### Vertex ai ######################
model = "vertex_ai/gemini-1.5-flash-001" ## "vertex_ai/<model_name>" -> format <provider>/<model>
## GET CREDENTIALS
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