Create app.py

app.py

@@ -0,0 +1,65 @@
+import streamlit as st
+import requests
+import os
+
+# Load API key from environment variable
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+
+SYSTEM_PROMPT = """
+You are an expert 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
+
+Keep your answer clear, short, and helpful for general car users.
+"""
+
+def query_groq(user_input):
+    url = "https://api.groq.com/openai/v1/chat/completions"
+    headers = {
+        "Authorization": f"Bearer {GROQ_API_KEY}",
+        "Content-Type": "application/json"
+    }
+
+    payload = {
+        "model": "llama2-70b-4096",  # Or mixtral-8x7b-32768
+        "messages": [
+            {"role": "system", "content": SYSTEM_PROMPT},
+            {"role": "user", "content": user_input}
+        ],
+        "temperature": 0.5,
+        "max_tokens": 500
+    }
+
+    try:
+        response = requests.post(url, headers=headers, json=payload)
+        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.")
+
+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")
+
+if submitted and user_input:
+    with st.spinner("Analyzing..."):
+        response = query_groq(user_input)
+        st.session_state.chat_history.append(("You", user_input))
+        st.session_state.chat_history.append(("Bot", response))
+
+# Display chat history
+for speaker, message in st.session_state.chat_history:
+    if speaker == "You":
+        st.markdown(f"**🧍 You:** {message}")
+    else:
+        st.markdown(f"**🤖 Bot:** {message}")