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.env

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+GROQ_API_KEY=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

app.py

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+import os
+from dotenv import load_dotenv
+from phi.agent import Agent
+from phi.model.groq import Groq
+from phi.tools.duckduckgo import DuckDuckGo
+import gradio as gr
+
+# Load environment variables (e.g., GROQ_API_KEY)
+load_dotenv()
+
+# Initialize Groq model
+model = Groq(id="llama3-70b-8192")
+
+# Agent 1: Homework Helper
+homework_helper_agent = Agent(
+    name="HomeworkHelperAgent",
+    model=model,
+    tools=[DuckDuckGo()],
+    instructions=["Give clear and simple academic explanations. Always include sources if searched."],
+    show_tool_calls=True,
+    markdown=True,
+)
+
+# Agent 2: Study Tips Coach
+study_tips_coach_agent = Agent(
+    name="StudyTipsCoachAgent",
+    model=model,
+    instructions=["Give encouraging and practical study tips. Include examples where possible."],
+    markdown=True,
+)
+
+# Routing function
+def study_buddy_ai(user_prompt):
+    academic_keywords = ["explain", "what is", "define", "solve", "difference", "example", "describe"]
+    if any(keyword in user_prompt.lower() for keyword in academic_keywords):
+        response = homework_helper_agent.run(user_prompt)
+    else:
+        response = study_tips_coach_agent.run(user_prompt)
+    return response.content
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=study_buddy_ai,
+    inputs=gr.Textbox(lines=2, placeholder="Ask your study question or request a study tip..."),
+    outputs=gr.Markdown(),
+    title="📚 Study Buddy AI",
+    description="Ask academic questions or get study tips powered by Groq + Phi Agents!"
+)
+
+# Launch the app
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+phidata
+groq
+duckduckgo-search
+python-dotenv
+phi
+