Update streamlit_app.py

streamlit_app.py

@@ -2,12 +2,13 @@ import streamlit as st
 import requests
 import os
 
-# Load Groq API key from Hugging Face secret
+# Load your Groq API key from Hugging Face secret
 GROQ_API_KEY = os.getenv("GROQ_API_KEY")
 
+# System prompt for the chatbot
 SYSTEM_PROMPT = """
 You are an experienced automobile technician. Based on the user's question, provide:
-1. Likely reason(s) for the vehicle issue
+1. Likely reasons for the vehicle issue
 2. Diagnosis or explanation
 3. Suggested fixes or preventive actions
 
@@ -15,14 +16,15 @@ Keep your answers simple, practical, and useful for everyday car owners.
 """
 
 def query_groq(user_input):
-    url = "https://api.groq.com/openai/v1/chat/completions"
+    url = "https://api.groq.com/openai/v1/chat/completions"  # ✅ Correct endpoint
+
     headers = {
         "Authorization": f"Bearer {GROQ_API_KEY}",
         "Content-Type": "application/json"
     }
 
     data = {
-        "model": "llama2-70b-4096",  # Or another valid Groq-supported model
+        "model": "llama3-70b-8192",  # ✅ Supported Groq model
         "messages": [
             {"role": "system", "content": SYSTEM_PROMPT},
             {"role": "user", "content": user_input}
@@ -38,27 +40,24 @@ def query_groq(user_input):
     except Exception as e:
         return f"❌ Error: {str(e)}"
 
-# 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.")
+# Streamlit UI
+st.set_page_config(page_title="Vehicle Diagnostic Chatbot", page_icon="🚗")
+st.title("🚗 Vehicle Issue Diagnostic Chatbot")
+st.markdown("Describe your vehicle issue (e.g. *My car is overheating*) and get expert help.")
 
 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("Enter your vehicle issue:")
-    submitted = st.form_submit_button("Submit")
+    user_input = st.text_input("Describe your vehicle problem:")
+    submitted = st.form_submit_button("Get Diagnosis")
 
 if submitted and user_input:
-    with st.spinner("Analyzing your problem..."):
-        reply = query_groq(user_input)
+    with st.spinner("Analyzing..."):
+        bot_reply = query_groq(user_input)
         st.session_state.chat_history.append(("You", user_input))
-        st.session_state.chat_history.append(("Bot", reply))
+        st.session_state.chat_history.append(("Bot", bot_reply))
 
-# Display chat history
+# Show chat history
 for sender, message in st.session_state.chat_history:
-    if sender == "You":
-        st.markdown(f"**🧍 You:** {message}")
-    else:
-        st.markdown(f"**🤖 Bot:** {message}")
+    st.markdown(f"**{sender}:** {message}")