Updates.py

app.py

@@ -70,27 +70,36 @@ rag_chain = (
 
 import gradio as gr
 
-def rag_memory_stream(text):
+# Function to handle chat input and generate responses using rag_chain
+def animepedia_memory_stream(message, history):
     partial_text = ""
-    for new_text in rag_chain.stream(text):
+    for new_text in rag_chain.stream(message):  # Assuming rag_chain is configured for Animepedia
         partial_text += new_text
         yield partial_text
 
-examples = ["I love action movies. Can you recommend one with a high rating?"]
-
-
-
-
-title = "Real-time AI App with Groq API and LangChain to Answer medical questions"
-demo = gr.Interface(
+# Examples of user queries for Animepedia
+examples = [
+    "What is the highest-rated action anime?",
+    "Can you recommend an anime with less than 12 episodes?",
+    "Tell me about a family-friendly anime.",
+]
+
+# Description and title for the Animepedia chatbot
+description = "Real-time Anime Companion to Answer Questions and Provide Recommendations About Your Favorite Shows."
+title = "Animepedia: Your Ultimate Anime Guide"
+
+# Creating the Gradio Chat Interface
+demo = gr.ChatInterface(
+    fn=animepedia_memory_stream,
+    type="messages",
     title=title,
-    fn=rag_memory_stream,
-    inputs="text",
-    outputs="text",
+    description=description,
+    fill_height=True,
     examples=examples,
-    allow_flagging="never",
+    theme="glass",
 )
 
-
+# Launching the chatbot interface
 if __name__ == "__main__":
     demo.launch()
+