Update app.py

app.py

@@ -1,12 +1,12 @@
 import os
 import gradio as gr
-from groq import Groq
+from huggingface_hub import InferenceClient
 import langdetect
 import requests
 import random
 
 GROQ_API_KEY = os.getenv("GROQ_API_KEY", "")
-client = Groq(api_key=GROQ_API_KEY)
+client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 def detect_language(text):
     """Detects whether the input text is in French or English."""
@@ -36,44 +36,37 @@ def handle_button_click(button_text):
         return "Plan a 1-week trip for me."
     return ""
 
-def chat_with_bot(message, history):
-    """Handles user queries and maintains chat memory."""
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+):
+    messages = [{"role": "system", "content": system_message}]
     
-    if message in ["Trip recommendations", "Send me somewhere!", "1 week planned vacations"]:
-        message = handle_button_click(message)
-    
-    language = detect_language(message)
-
-    system_message = {
-        "en": "You help users plan trips. Keep responses short and clear.",
-        "fr": "Vous aidez les utilisateurs à planifier des voyages. Réponses courtes et simples."
-    }
-
-    messages = [{"role": "system", "content": system_message[language]}]
-    
-    for user_msg, bot_msg in history:
-        messages.append({"role": "user", "content": user_msg})
-        messages.append({"role": "assistant", "content": bot_msg})
+    for val in history:
+        if val[0]:
+            messages.append({"role": "user", "content": val[0]})
+        if val[1]:
+            messages.append({"role": "assistant", "content": val[1]})
 
     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
 
-    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 + [(message, f"Here's a link that might help: {link}")], ""
-
-    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((message, bot_reply))
-    return history, ""
-
-# Gradio interface with memory
 with gr.Blocks(css="""
     body { background-color: #A9B5DF; }
     .gradio-container { background-color: #A9B5DF; }
@@ -83,7 +76,7 @@ with gr.Blocks(css="""
 """) as demo:
     gr.Markdown("# 🌍 ***FlightAI - Your Travel Assistant - Votre Assistant de Voyage*** ✈️\n")
     
-    chatbot = gr.Chatbot(type="messages")  # ✅ Fixed deprecated warning
+    chatbot = gr.Chatbot(type="messages")
     chatbot.value = [
         {"role": "assistant", "content": "Hey! I'm FlightAI. Tell me your travel plans or pick a button below!\n\nSalut! Je suis FlightAI. Dis-moi ton projet de voyage ou choisis un bouton ci-dessous!"}
     ]
@@ -95,14 +88,20 @@ with gr.Blocks(css="""
     
     user_input = gr.Textbox(placeholder="Type your travel question here...")
     
-    def button_click(btn_text):
-        response, _ = chat_with_bot(btn_text, chatbot.value)
-        return response, ""
-    
-    btn1.click(button_click, inputs=[btn1], outputs=[chatbot, user_input])
-    btn2.click(button_click, inputs=[btn2], outputs=[chatbot, user_input])
-    btn3.click(button_click, inputs=[btn3], outputs=[chatbot, user_input])
-    user_input.submit(chat_with_bot, inputs=[user_input, chatbot], outputs=[chatbot, user_input])
+    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()