Update streamlit_app.py

streamlit_app.py

@@ -2,16 +2,16 @@ import streamlit as st
 import requests
 import os
 
-# Load API key from environment variable
+# Load Groq API key from Hugging Face secret
 GROQ_API_KEY = os.getenv("GROQ_API_KEY")
 
 SYSTEM_PROMPT = """
-You are an expert automobile technician. Based on the user's question, provide:
+You are an experienced automobile technician. Based on the user's question, provide:
 1. Likely reason(s) for the vehicle issue
-2. A simple diagnosis
-3. Suggested fixes or actions to prevent it
+2. Diagnosis or explanation
+3. Suggested fixes or preventive actions
 
-Keep your answer clear, short, and helpful for general car users.
+Keep your answers simple, practical, and useful for everyday car owners.
 """
 
 def query_groq(user_input):
@@ -21,8 +21,8 @@ def query_groq(user_input):
         "Content-Type": "application/json"
     }
 
-    payload = {
-        "model": "llama2-70b-4096",  # Or mixtral-8x7b-32768
+    data = {
+        "model": "llama2-70b-4096",  # Or another valid Groq-supported model
         "messages": [
             {"role": "system", "content": SYSTEM_PROMPT},
             {"role": "user", "content": user_input}
@@ -32,34 +32,33 @@ def query_groq(user_input):
     }
 
     try:
-        response = requests.post(url, headers=headers, json=payload)
+        response = requests.post(url, headers=headers, json=data)
         response.raise_for_status()
         return response.json()["choices"][0]["message"]["content"]
     except Exception as e:
         return f"❌ Error: {str(e)}"
 
-# Streamlit UI
-st.set_page_config(page_title="Vehicle Issue Chatbot", page_icon="🚗", layout="centered")
-
-st.title("🚘 Vehicle Fault Diagnostic Chatbot")
-st.markdown("Describe your car issue (e.g. *my engine is overheating*) and get expert suggestions.")
+# Streamlit interface
+st.set_page_config(page_title="Vehicle Diagnostic Chatbot", page_icon="🚘")
+st.title("🚘 Vehicle Issue Diagnostic Chatbot")
+st.markdown("Describe your car problem (e.g. *my car is overheating*) and get expert suggestions.")
 
 if "chat_history" not in st.session_state:
     st.session_state.chat_history = []
 
 with st.form("chat_form", clear_on_submit=True):
-    user_input = st.text_input("Your vehicle issue:")
-    submitted = st.form_submit_button("Get Advice")
+    user_input = st.text_input("Enter your vehicle issue:")
+    submitted = st.form_submit_button("Submit")
 
 if submitted and user_input:
-    with st.spinner("Analyzing..."):
-        response = query_groq(user_input)
+    with st.spinner("Analyzing your problem..."):
+        reply = query_groq(user_input)
         st.session_state.chat_history.append(("You", user_input))
-        st.session_state.chat_history.append(("Bot", response))
+        st.session_state.chat_history.append(("Bot", reply))
 
 # Display chat history
-for speaker, message in st.session_state.chat_history:
-    if speaker == "You":
+for sender, message in st.session_state.chat_history:
+    if sender == "You":
         st.markdown(f"**🧍 You:** {message}")
     else:
         st.markdown(f"**🤖 Bot:** {message}")