Update app.py

app.py

@@ -5,64 +5,107 @@ import langdetect
 import requests
 import random
 
-
+# Load API Key
 GROQ_API_KEY = os.getenv("GROQ_API_KEY", "")
+client = Groq(api_key=GROQ_API_KEY)
+
+# Detect Language
+def detect_language(text):
+    try:
+        lang = langdetect.detect(text)
+        return "fr" if lang == "fr" else "en"
+    except:
+        return "en"
+
+# Function to search for reservation links
+def find_reservation_link(query):
+    search_url = f"https://www.googleapis.com/customsearch/v1?q={query}+booking&key=your_google_api_key&cx=your_custom_search_engine_id"
+    response = requests.get(search_url)
+    data = response.json()
+    
+    if "items" in data and len(data["items"]) > 0:
+        return data["items"][0]["link"]
+    
+    return "I couldn't find a link for that. Try searching manually."
 
-client = Groq(api_key=os.getenv("GROQ_API_KEY"))
+# Button Click Handler
+def handle_button_click(button_text):
+    options = {
+        "Trip recommendations": "What are the top travel spots right now?",
+        "Send me somewhere!": f"Pick a place for me. Maybe {random.choice(['Paris', 'Tokyo', 'New York', 'Barcelona', 'Rome', 'Bali', 'Dubai', 'Sydney'])}!",
+        "1 week planned vacations": "Plan a 1-week trip for me."
+    }
+    return options.get(button_text, "")
 
+# Chat Function with Memory
+def chat_with_bot(message, history):
+    # Ensure history is correctly formatted
+    history = history or [{"role": "assistant", "content": "Hey! I'm FlightAI. How can I help with your travel plans?"}]
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+    # If button text was used
+    if message in ["Trip recommendations", "Send me somewhere!", "1 week planned vacations"]:
+        message = handle_button_click(message)
+    
+    # Detect language
+    language = detect_language(message)
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+    system_message = {
+        "en": "You help users plan trips. Keep responses short and clear. If a user asks about booking a flight, hotel, or reservation, try to find a link.",
+        "fr": "Vous aidez les utilisateurs à planifier des voyages. Réponses courtes et simples. Si un utilisateur demande une réservation, fournissez un lien."
+    }
 
+    # Format history for chat completion
+    messages = [{"role": "system", "content": system_message[language]}] + history
     messages.append({"role": "user", "content": message})
 
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+    # Check for reservation-related queries
+    if any(keyword in message.lower() for keyword in ["book a flight", "hotel reservation", "car rental", "book a room"]):
+        link = find_reservation_link(message)
+        return history + [{"role": "assistant", "content": f"Here's a link that might help: {link}"}]
+
+    # Call AI model
+    response = client.chat.completions.create(
+        model="llama-3.3-70b-versatile",
+        messages=messages,
+        temperature=0.7,
+        max_tokens=1024,
+        top_p=1
+    )
+
+    bot_reply = response.choices[0].message.content
+    history.append({"role": "user", "content": message})
+    history.append({"role": "assistant", "content": bot_reply})
+
+    return history
+
+# Gradio Interface
+with gr.Blocks(css="""
+    body { background-color: #A9B5DF; }
+    .gradio-container { background-color: #A9B5DF; }
+    .gradio-markdown { background-color: #2D336B; color: white; padding: 10px; border-radius: 10px; }
+    .gradio-button { background-color: #7886C7; color: white; border-radius: 10px; }
+    .gradio-chatbot-message { background-color: #FFF2F2; color: #2D336B; padding: 10px; border-radius: 10px; }
+""") as demo:
+    gr.Markdown("# 🌍 ***FlightAI - Your Travel Assistant - Votre Assistant de Voyage*** ✈️\n")
+    
+    chatbot = gr.Chatbot(type="messages", value=[
+        {"role": "assistant", "content": "Hey! I'm FlightAI. Tell me your travel plans or pick a button below!"}
+    ])
+
+    with gr.Row():
+        btn1 = gr.Button("Trip recommendations")
+        btn2 = gr.Button("Send me somewhere!")
+        btn3 = gr.Button("1 week planned vacations")
+
+    user_input = gr.Textbox(placeholder="Type your travel question here...")
+
+    # Button Click Event Handling
+    def button_click(btn_text):
+        return chat_with_bot(btn_text, chatbot.value)
+    
+    btn1.click(button_click, inputs=[btn1], outputs=[chatbot])
+    btn2.click(button_click, inputs=[btn2], outputs=[chatbot])
+    btn3.click(button_click, inputs=[btn3], outputs=[chatbot])
+    user_input.submit(chat_with_bot, inputs=[user_input, chatbot], outputs=[chatbot])
+    
+    demo.launch()