Update app.py

app.py

@@ -1,58 +1,58 @@
-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
+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(item):
+	input = {code:item['code']}
+	result = crew.kickoff(inputs=inputs)
+	return result