Create app.py

app.py

@@ -0,0 +1,47 @@
+import os
+import streamlit as st
+from groq import Groq
+from dotenv import load_dotenv
+
+# Load API key from .env file
+load_dotenv()
+api_key = os.getenv("GROQ_API_KEY")
+
+# Check if API key is set
+if not api_key:
+    st.error("⚠️ Error: GROQ_API_KEY is missing. Please set it in the .env file.")
+    st.stop()
+
+# Initialize the Groq client
+client = Groq(api_key=api_key)
+
+# Function to get chatbot response
+def get_health_response(user_question):
+    # Check if the question is related to health, fitness, or diet
+    health_keywords = ["health", "fitness", "exercise", "diet", "nutrition", "weight loss", "workout", "calories", "meal plan"]
+    
+    if any(keyword in user_question.lower() for keyword in health_keywords):
+        # Call Groq API to generate a response
+        completion = client.chat.completions.create(
+            model="deepseek-r1-distill-llama-70b",
+            messages=[{"role": "user", "content": user_question}],
+            temperature=0.6,
+            max_completion_tokens=512,
+            top_p=0.95,
+            stream=False,
+        )
+        return completion.choices[0].message['content']
+    else:
+        return "⚠️ This chatbot only answers health, fitness, and diet-related questions."
+
+# Streamlit UI
+st.set_page_config(page_title="Health & Fitness Chatbot", layout="centered")
+st.title("💪 Health & Fitness Chatbot")
+st.write("Ask me about health, fitness, weight loss, and diet plans!")
+
+# User Input
+user_input = st.text_input("Type your question:")
+
+if user_input:
+    response = get_health_response(user_input)
+    st.write(response)