Upload utils.py

utils.py

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+import whisper
+from langchain.llms import OpenAI
+from langchain.agents import initialize_agent
+from langchain.agents.agent_toolkits import ZapierToolkit
+from langchain.utilities.zapier import ZapierNLAWrapper
+from langchain.agents import initialize_agent, load_tools, AgentType
+import os
+
+# get from https://platform.openai.com/
+os.environ["OPENAI_API_KEY"] = "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"
+
+# get from https://nla.zapier.com/docs/authentication/ & https://actions.zapier.com/credentials/ after logging in):
+os.environ["ZAPIER_NLA_API_KEY"] = "sk-ak-tOoi6NEUPQKcLt9PqemVcaR7Vb"
+
+
+def email_summary(file):
+
+
+    # large language model
+    llm = OpenAI(temperature=0)
+
+    # Initializing zapier
+    zapier = ZapierNLAWrapper()
+    toolkit = ZapierToolkit.from_zapier_nla_wrapper(zapier)
+
+    # The agent used here is a "zero-shot-react-description" agent. 
+    # Zero-shot means the agent functions on the current action only — it has no memory. 
+    # It uses the ReAct framework to decide which tool to use, based solely on the tool's description.
+    agent = initialize_agent(toolkit.get_tools(), llm, agent="zero-shot-react-description", verbose=True)
+
+
+    # specify a model, here its BASE
+    model = whisper.load_model("base")
+
+   
+
+    # transcribe audio file
+    result = model.transcribe(file)
+    print(result["text"])
+
+    # Send email using zapier
+    agent.run("Send an Email to barkha.verma@crossml.com via gmail summarizing the following text provided below : "+result["text"])
+
+