Update app.py

app.py

@@ -74,23 +74,24 @@ with gr.Blocks() as demo:
             "hey there! its RecoNext, your favorite binge buddy! get started by telling me you age, preferred genre, and past tv shows or movies you have liked!"
         )
         return [("", greeting)], [{"role": "assistant", "content": greeting}]
-
-    # Chat handler
-    def user_message(message, history):
-        bot_response = respond(message, history)
-        history.append({"role": "user", "content": message})
-        history.append({"role": "assistant", "content": bot_response})
-
-        # Format history for display in Chatbot
-        display = []
-        for i in range(1, len(history), 2):
-            display.append((history[i-1]["content"], history[i]["content"]))
-        return display, history
-
-    # Load initial greeting
-    demo.load(startup, outputs=[chatbot, state])
-
-    # Respond to user input
-    msg.submit(fn=user_message, inputs=[msg, state], outputs=[chatbot, state])
-
-demo.launch()
+def respond(message, history):
+    best_next_watch = get_top_chunks(message, chunk_embeddings, cleaned_chunks)
+    print(best_next_watch)
+    str_watch_chunks = "\n".join(best_next_watch)
+    messages = [
+        {"role":"system",
+        "content": "You are a gen-z helpful chatbot that helps teenagers find their next best watch, speak in gen-z terms and be natural. You should answer the users question based on " + str_watch_chunks + " ."
+        }
+    ]
+    if history:
+        messages.extend(history)
+    messages.append(
+        {'role':'user',
+        'content':message}
+    )
+    response = client.chat_completion(
+        messages, max_tokens = 300, temperature=1.3, top_p=0.6
+    )
+    return response['choices'][0]['message']['content'].strip()
+chatbot = gr.ChatInterface(respond, type="messages")
+chatbot.launch()