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app.py

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+from langchain_groq import ChatGroq
+
+llm = ChatGroq(
+    temperature=0,
+    groq_api_key = "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",
+    model_name="llama3-8b-8192"
+)
+
+from crewai import Agent, Task, Crew
+import os
+
+Code_Quality_agent = Agent(
+    role="Senior Software Engineer",
+    goal="Provide the best support quality assurance to the code written by the member in your team",
+    backstory="You work in a financial organization. The Goal is to identify bugs,"
+    " security should be a top concern. Look for common Look for common"
+    " vulnerabilities like SQL injection, cross-site scripting (XSS), "
+    "and insecure data handling practices.Ensure the code adheres to"
+    " secure coding standards established by the organization or "
+    "industry.Scrutinize how the code validates user input to prevent"
+    " malicious attacks.For code involving financial calculations"
+    " (e.g., interest rates, risk assessments), double-check the formulas"
+    " and logic for accuracy. Consider edge cases and ensure the code behave"
+    "s as intended under various scenarios.Verify that the code maintains data"
+    " integrity throughout processing. This includes checking for potential"
+    " data loss, corruption, or unauthorized access.Ensure the code complies"
+    " with relevant industry standards and regulations.",
+    verbose=True,
+    allow_delegation=False,
+    llm = llm
+    
+)
+
+Code_Review = Task(expected_output=(
+        "You would be given code as an input for the code review {code}. "
+        "Make sure to use everything you know to provide the best support possible."
+        "Provide clear and actionable feedback to the code author.Maintain a collaborative and respectful tone throughout the review process.Ensure the code complies with relevant industry standards and regulations."
+    ),
+    description=(
+        "You would be given a code as an input for the code review {code}."
+        "Make sure to use everything you know to provide the best support possible."
+        "You must strive to provide a complete and accurate response."
+    ),
+    llm = llm,
+    agent= Code_Quality_agent,
+)
+
+crew = Crew(
+    agents=[Code_Quality_agent],
+    tasks=[Code_Review],
+    verbose=2,
+)
+
+def predict(code):
+	input = {code:code}
+	result = crew.kickoff(inputs=inputs)
+	return result
+    

main.py

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+from fastapi import FastAPI
+from app import predict
+import os
+from huggingface_hub import login
+
+os.environ['HF_HOME'] = '/hug/cache/'
+os.environ['TRANSFORMERS_CACHE'] = '/blabla/cache/'
+
+app = FastAPI()
+
+@app.get("/")
+async def root():
+ return {"Code Review Automation":"Version 1.0 'First Draft'"}
+
+@app.post("/AutomateReview/")
+def predict(input_json: str):
+    return predict(input_json)