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app.py

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+# 💡 Run this file with: streamlit run app.py
+#Install the required dependencies using the following command
+#pip install streamlit replicate duckduckgo-search
+
+
+import streamlit as st
+import replicate
+from duckduckgo_search import DDGS
+
+# ------------------- 🔐 Setup Replicate -------------------
+
+REPLICATE_API_TOKEN = "r8_0yAsouiplq8fxaxqVrqJ69tEF3CdgRD37L2Eq"  # <-- Replace this with your token
+client = replicate.Client(api_token=REPLICATE_API_TOKEN)
+GRANITE_MODEL_ID = "ibm-granite/granite-3.3-8b-instruct"
+
+# ------------------- 🔍 Optional Web Search -------------------
+
+def search_duckduckgo(query):
+    with DDGS() as ddgs:
+        results = ddgs.text(query, max_results=3)
+        return "\n".join([f"- {r['title']}: {r['href']}" for r in results])
+
+# ------------------- 🧠 LLM Query Function -------------------
+
+def query_replicate(prompt):
+    try:
+        output = client.run(GRANITE_MODEL_ID, input={"prompt": prompt, "max_new_tokens": 300})
+        return "".join(output)
+    except Exception as e:
+        return f"❌ Error from Granite: {str(e)}"
+
+# ------------------- 🤖 Agent Functions -------------------
+
+def workout_agent(prompt):
+    system_prompt = "You are a personal workout coach. Recommend home-based fitness routines based on user goals and preferences."
+    return query_replicate(f"{system_prompt}\n\nUser: {prompt}")
+
+def nutrition_agent(prompt):
+    system_prompt = "You are a friendly nutritionist. Suggest healthy, affordable meal ideas based on user input. Be simple and practical."
+    return query_replicate(f"{system_prompt}\n\nUser: {prompt}")
+
+def motivation_agent(prompt):
+    system_prompt = "You are a motivational fitness buddy. Share tips, inspiration, and strategies to stay consistent with healthy habits."
+    return query_replicate(f"{system_prompt}\n\nUser: {prompt}")
+
+# ------------------- 🧠 Smart Router -------------------
+
+def fitness_buddy_router(user_prompt):
+    workout_keywords = ["workout", "exercise", "routine", "stretch", "home gym", "training"]
+    nutrition_keywords = ["diet", "meal", "protein", "food", "nutrition", "eat", "snack"]
+    motivation_keywords = ["motivation", "lazy", "can't", "habit", "inspiration", "routine", "mental"]
+
+    prompt_lower = user_prompt.lower()
+
+    if any(word in prompt_lower for word in workout_keywords):
+        return workout_agent(user_prompt)
+    elif any(word in prompt_lower for word in nutrition_keywords):
+        return nutrition_agent(user_prompt)
+    elif any(word in prompt_lower for word in motivation_keywords):
+        return motivation_agent(user_prompt)
+    else:
+        return "🤖 Please clarify: are you asking about workouts, meals, or motivation?"
+
+# ------------------- 🎨 Streamlit UI -------------------
+
+st.set_page_config(page_title="Fitness Buddy", page_icon="💪")
+st.title("🏋️ Fitness Buddy AI")
+st.caption("Powered by IBM Granite via Replicate")
+
+st.markdown("**Ask me about:**\n- 🏋️ Home workouts\n- 🥗 Nutritious meal ideas\n- 💡 Fitness motivation and habit building")
+
+user_input = st.text_area("Ask Fitness Buddy:", height=150, placeholder="e.g., Suggest a workout for weight loss at home")
+
+if st.button("Ask AI"):
+    if user_input.strip():
+        with st.spinner("Thinking..."):
+            reply = fitness_buddy_router(user_input)
+        st.markdown("### 🤖 Fitness Buddy Says:")
+        st.write(reply)
+    else:
+        st.warning("Please enter a question or message first.")

fitness.py

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+# -*- coding: utf-8 -*-
+"""Fitness.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1rF0K4Qn52EJlq0ULtyo9jFhQ8aZrgV8P
+"""
+
+#pip install replicate duckduckgo-search
+
+import replicate
+from duckduckgo_search import DDGS
+
+# 🔐 IBM Granite on Replicate
+REPLICATE_API_TOKEN = "r8_0yAsouiplq8fxaxqVrqJ69tEF3CdgRD37L2Eq"
+client = replicate.Client(api_token=REPLICATE_API_TOKEN)
+
+# 🔎 Optional: search tool
+def search_duckduckgo(query):
+    with DDGS() as ddgs:
+        results = ddgs.text(query, max_results=3)
+        return "\n".join([f"- {r['title']}: {r['href']}" for r in results])
+
+# 🧠 LLM query function
+def query_replicate(prompt, model="ibm-granite/granite-3.3-8b-instruct"):
+    output = client.run(model, input={"prompt": prompt, "max_new_tokens": 300})
+    return "".join(output)
+
+# 🤖 Agent 1: Workout Recommender
+def workout_agent(prompt):
+    system_prompt = "You are a personal workout coach. Recommend home-based fitness routines based on user goals and preferences."
+    return query_replicate(f"{system_prompt}\n\nUser: {prompt}")
+
+# 🍎 Agent 2: Nutrition Coach
+def nutrition_agent(prompt):
+    system_prompt = "You are a friendly nutritionist. Suggest healthy, affordable meal ideas based on user input. Be simple and practical."
+    return query_replicate(f"{system_prompt}\n\nUser: {prompt}")
+
+# 💡 Agent 3: Motivational Buddy
+def motivation_agent(prompt):
+    system_prompt = "You are a motivational fitness buddy. Share tips, inspiration, and strategies to stay consistent with healthy habits."
+    return query_replicate(f"{system_prompt}\n\nUser: {prompt}")
+
+def fitness_buddy_router(user_prompt):
+    workout_keywords = ["workout", "exercise", "routine", "stretch", "home gym"]
+    nutrition_keywords = ["diet", "meal", "protein", "food", "nutrition", "eat"]
+    motivation_keywords = ["motivation", "lazy", "can't", "habit", "inspiration", "routine", "mental"]
+
+    prompt_lower = user_prompt.lower()
+
+    if any(word in prompt_lower for word in workout_keywords):
+        return workout_agent(user_prompt)
+    elif any(word in prompt_lower for word in nutrition_keywords):
+        return nutrition_agent(user_prompt)
+    elif any(word in prompt_lower for word in motivation_keywords):
+        return motivation_agent(user_prompt)
+    else:
+        # default fallback agent
+        return "🤖 Please clarify: are you asking about workouts, meals, or motivation?"
+
+import gradio as gr
+
+gr.Interface(
+    fn=fitness_buddy_router,
+    inputs=gr.Textbox(lines=2, placeholder="Ask about fitness, meals, or motivation..."),
+    outputs=gr.Textbox(label="Fitness Buddy Says"),
+    title="💪 Fitness Buddy AI",
+    description="Your personal AI coach for workouts, nutrition, and motivation!"
+).launch()
+

requirements.txt

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+replicate
+duckduckgo-search
+gradio
+streamlit
+requests