diff --git a/integrations/finbert/README.md b/integrations/finbert/README.md new file mode 100644 index 00000000..1c5b8f09 --- /dev/null +++ b/integrations/finbert/README.md @@ -0,0 +1,53 @@ +# Finbert Integration + +FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification. + +Ensure you have the following software installed: + +- Python (v3.10+ recommended) +- Poetry (A Python packaging and dependency management tool) + +## Setup + +1. For the demo to work, you need to get HuggingFaceAPI Token: + + 1. Visit [HuggingFace](https://huggingface.co/). + 2. Sign up or log in. + 3. Navigate to `Profile -> Settings -> Access Tokens`. + 4. Copy an existing token or create a new one. + +2. In the `finbert/src` directory, create a `.env` file and set your HuggingFaceAPI Token: + + ``` + export HUGGING_FACE_ACCESS_TOKEN="{Your HuggingFaceAPI Token}" + ``` + +3. To load the environment variables from `.env` and install the dependencies: + + ```bash + cd src + source .env + poetry install + ``` + +## Running The Script + +To run the project, use the command: + +``` +poetry run python main.py +``` + +In the console look for the following output: + +``` +Adding agent to Bureau: {agent_address} + +``` + +Copy the {agent_address} address and replace **AI_MODEL_AGENT_ADDRESS** value in agents/finbert_user.py. + + +You can change the input text to what you like, just open the src/finbert_user.py file, and change the value of **INPUT_TEXT** variable in agents/finbert_user.py. + +The finbert model will give softmax outputs for three labels: positive, negative or neutral. \ No newline at end of file diff --git a/integrations/finbert/poetry.lock b/integrations/finbert/poetry.lock new file mode 100644 index 00000000..25e43cf4 --- /dev/null +++ b/integrations/finbert/poetry.lock @@ -0,0 +1,1233 @@ +# This file is automatically @generated by Poetry 1.6.1 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+uagents = "*" +requests = "^2.31.0" diff --git a/integrations/finbert/src/__init__.py b/integrations/finbert/src/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/integrations/finbert/src/agents/__init__.py b/integrations/finbert/src/agents/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/integrations/finbert/src/agents/finbert_agent.py b/integrations/finbert/src/agents/finbert_agent.py new file mode 100644 index 00000000..f5bdeea3 --- /dev/null +++ b/integrations/finbert/src/agents/finbert_agent.py @@ -0,0 +1,74 @@ +# Necessary imports: uagents for agent creation and message handling, +# os and requests for managing API calls +from uagents import Agent, Context, Protocol +from messages.basic import UAResponse, UARequest, Error +from uagents.setup import fund_agent_if_low +import os +import requests + +# The access token and URL for the FinBERT model, served by Hugging Face +HUGGING_FACE_ACCESS_TOKEN = os.getenv( + "HUGGING_FACE_ACCESS_TOKEN", "HUGGING FACE secret phrase :)") +FINBERT_URL = "https://api-inference.huggingface.co/models/ProsusAI/finbert" + +# Setting the headers for the API call +HEADERS = { + "Authorization": f"Bearer {HUGGING_FACE_ACCESS_TOKEN}" +} + +# Creating the agent and funding it if necessary +agent = Agent( + name="finbert_agent", + seed=HUGGING_FACE_ACCESS_TOKEN, + port=8001, + endpoint=["http://127.0.0.1:8001/submit"], +) +fund_agent_if_low(agent.wallet.address()) + +# Function to get classification results from FinBERT for a given text + + +async def get_classification(ctx: Context, sender: str, text: str): + data = { + "inputs": text + } + + try: + # Making POST request to Hugging Face FinBERT API + response = requests.post(FINBERT_URL, headers=HEADERS, json=data) + + if response.status_code != 200: + # Error handling - send error message back to user if API call unsuccessful + await ctx.send(sender, Error(error=f"Error: {response.json().get('error')}")) + return + # If API call is successful, return the response from the model + model_res = response.json()[0] + await ctx.send(sender, UAResponse(response=model_res)) + return + except Exception as ex: + # Catch and notify any exception occured during API call or data handling + await ctx.send(sender, Error(error=f"An exception occurred while processing the request: {ex}")) + return + + +# Protocol declaration for UARequests +finbert_agent = Protocol("UARequest") + +# Declaration of a message event handler for handling UARequests and send respective response. + + +@finbert_agent.on_message(model=UARequest, replies={UAResponse, Error}) +async def handle_request(ctx: Context, sender: str, request: UARequest): + # Logging the request information + ctx.logger.info( + f"Got request from {sender} for text classification : {request.text}") + + # Call text classification function for the incoming request's text + await get_classification(ctx, sender, request.text) + +# Include protocol to the agent +agent.include(finbert_agent) + +# If the script is run as the main program, run our agents event loop +if __name__ == "__main__": + finbert_agent.run() diff --git a/integrations/finbert/src/agents/finbert_user.py b/integrations/finbert/src/agents/finbert_user.py new file mode 100644 index 00000000..1a2f49b0 --- /dev/null +++ b/integrations/finbert/src/agents/finbert_user.py @@ -0,0 +1,39 @@ +from uagents import Agent, Context, Protocol # Import necessary modules +from messages.basic import UAResponse, UARequest, Error # Import Basic messages +# Import the fund_agent_if_low function +from uagents.setup import fund_agent_if_low +import os # Import os for environment variables if any needed + +INPUT_TEXT = "Stocks rallied and the British pound gained." +AI_MODEL_AGENT_ADDRESS = "agent1q2gdm20yg3krr0k5nt8kf794ftm46x2cs7xyrm2gqc9ga5lulz9xsp4l4kk" + +user = Agent( + name="finbert_user", + port=8000, + endpoint=["http://127.0.0.1:8000/submit"], +) + +fund_agent_if_low(user.wallet.address()) + +finbert_user = Protocol("Request") + + +@finbert_user.on_interval(360, messages=UARequest) +async def text_classification(ctx: Context): + ctx.logger.info(f"Asking AI model agent to classify: {INPUT_TEXT}") + await ctx.send(AI_MODEL_AGENT_ADDRESS, UARequest(text=INPUT_TEXT)) + + +@finbert_user.on_message(model=UAResponse) +async def handle_data(ctx: Context, sender: str, data: UAResponse): + ctx.logger.info(f"Got response from AI model agent: {data.response}") + + +@finbert_user.on_message(model=Error) +async def handle_error(ctx: Context, sender: str, error: Error): + ctx.logger.info(f"Got error from AI model agent: {error}") + +user.include(finbert_user) + +if __name__ == "__main__": + finbert_user.run() diff --git a/integrations/finbert/src/main.py b/integrations/finbert/src/main.py new file mode 100755 index 00000000..b1ae9bad --- /dev/null +++ b/integrations/finbert/src/main.py @@ -0,0 +1,13 @@ +from uagents import Bureau + +from agents.finbert_agent import agent +from agents.finbert_user import user + + +if __name__ == "__main__": + bureau = Bureau(endpoint="http://127.0.0.1:8000/submit", port=8000) + print(f"Adding agent to Bureau: {agent.address}") + bureau.add(agent) + print(f"Adding user agent to Bureau: {user.address}") + bureau.add(user) + bureau.run() diff --git a/integrations/finbert/src/messages/__init__.py b/integrations/finbert/src/messages/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/integrations/finbert/src/messages/basic.py b/integrations/finbert/src/messages/basic.py new file mode 100644 index 00000000..f5dd7596 --- /dev/null +++ b/integrations/finbert/src/messages/basic.py @@ -0,0 +1,13 @@ +from uagents import Model + + +class UARequest(Model): + text: str + + +class Error(Model): + error: str + + +class UAResponse(Model): + response: list