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aifitness.py

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+import os
+import streamlit as st
+from crewai import Agent, Task, Crew, Process
+
+# LiteLLM wrapper for Groq models
+from langchain_community.chat_models import ChatLiteLLM
+
+# === API Key ===
+os.environ["GROQ_API_KEY"] ="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"  # 🔒 Replace this with your actual key
+
+# === Streamlit Page Config ===
+st.set_page_config(page_title="🧠 Doctor AI Assistant", page_icon="🩺", layout="wide")
+
+# === Session State Initialization ===
+if "chat_history" not in st.session_state:
+    st.session_state.chat_history = []
+
+# === Core Function: Doctor AI Agent ===
+def run_doctor_ai(query, model_name="gemma2-9b-it", temperature=0.7):
+    try:
+        llm = ChatLiteLLM(
+            model=model_name,
+            api_base="https://api.groq.com/openai/v1",
+            api_key=os.getenv("GROQ_API_KEY"),
+            temperature=temperature
+        )
+
+        agent = Agent(
+            role="AI Fitness Coach",
+            goal="Help users achieve their fitness goals by creating custom workout and diet plans.",
+            backstory="""
+You are an expert fitness trainer and nutritionist who provides personalized fitness plans for users.
+Ask clarifying questions if needed (e.g., user's goal, age, gender, weight, lifestyle).
+Provide suggestions for workouts, rest days, and diet plans based on the input.
+Respond with a **daily fitness plan** (including workout type, duration, rest), and a **balanced diet chart** for the user’s goal.
+Use a **table format** for both workout and diet.
+Highlight **important tips** in **bold** (like hydration, protein intake, rest).
+
+🧠 Example Prompt:
+"I'm a 22-year-old male, 75kg, and want to lose fat. I have 1 hour a day to workout."
+
+📅 Sample Workout Plan:
+| Day      | Workout Type   | Duration | Focus Area      | Rest |
+|----------|----------------|----------|------------------|------|
+| Monday   | HIIT Cardio     | 30 mins | Full Body        | No   |
+| Tuesday  | Strength + Core | 1 hr     | Core & Upper     | No   |
+
+🍱 Sample Diet Chart:
+| Meal      | Food Ideas                              | Notes                            |
+|-----------|------------------------------------------|----------------------------------|
+| Breakfast | Oats, eggs, fruits                      | High protein, low sugar          |
+| Lunch     | Grilled chicken, veggies, brown rice    | Balanced macro intake            |
+| Dinner    | Lentil soup, salad, yogurt              | Light and nutritious             |
+
+💡 Tips:
+- **Drink at least 3L of water daily**
+- **Avoid sugar and processed snacks**
+- **Get 7-8 hours of sleep for recovery**
+""",
+            tools=[],
+            verbose=True,
+            allow_delegation=False,
+            llm=llm
+        )
+
+        task = Task(
+            description=f"Understand the user's fitness or health concern: '{query}' and generate a tailored fitness/diet plan.",
+            expected_output="Return a daily workout and diet plan in table format with additional helpful fitness tips.",
+            agent=agent
+        )
+
+        crew = Crew(
+            agents=[agent],
+            tasks=[task],
+            process=Process.sequential,
+            verbose=True
+        )
+
+        return crew.kickoff()
+
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
+
+# === Streamlit Chat Interface ===
+st.title("🏋 FITNESS AI COach")
+st.markdown("Get personalized **workout and diet plans** based on your goals, health status, and lifestyle.")
+
+# Display previous messages
+for msg in st.session_state.chat_history:
+    with st.chat_message(msg["role"]):
+        st.markdown(msg["content"])
+
+# Input prompt
+user_prompt = st.chat_input("Ask me about your health or fitness goals...")
+
+if user_prompt:
+    # Show user message
+    st.chat_message("user").markdown(user_prompt)
+    st.session_state.chat_history.append({"role": "user", "content": user_prompt})
+
+    # Generate AI response
+    with st.chat_message("assistant"):
+        response = run_doctor_ai(user_prompt)
+        st.markdown(response)
+        st.session_state.chat_history.append({"role": "assistant", "content": response})

requirements.txt

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+streamlit
+crewai
+langchain
+langchain-community
+langchainhub
+python-dotenv
+grok
+groqcloud
+
+beautifulsoup4
+requests
+pandas
+openai
+chromadb
+streamlit==1.32.2
+crewai==0.22.2
+chromadb==0.4.24
+langchain
+groq
+langchain-groq
+litellm
+yfinance
+pandas
+plotly
+yfinance
+plotly-express
+