fix 3

app.py

@@ -347,63 +347,78 @@ def chat_interface(message, history):
         elif isinstance(chunk, dict) and "answer" in chunk:
             response += chunk["answer"]
             yield response
-
-with gr.Blocks(css="""
-     html, body, .gradio-container {
-        height: 100%;
-        margin: 0;
-        padding: 0;
-    }
-    .gradio-container {
-        width: 90%;
-        max-width: 1000px;
-        margin: 0 auto;
-        padding: 1rem;
-    }
-
-    .chatbox-container {
-        display: flex;
-        flex-direction: column;
-        height: 95%;
-    }
-
-    .chatbot {
-        flex: 1;
-        overflow-y: auto;
-        min-height: 500px;
-    }
-
-    .textbox {
-        margin-top: 1rem;
-    }
-    #component-523 {
-        height: 98%;
-    }
-""") as demo:
-    with gr.Column(elem_classes="chatbox-container"):
-        gr.Markdown("## 💬 Ask Krishna's AI Assistant")
-        gr.Markdown("💡 Ask anything about Krishna Vamsi Dhulipalla")
-        chatbot = gr.Chatbot(elem_classes="chatbot", type="messages")
-        textbox = gr.Textbox(placeholder="Ask a question about Krishna...", elem_classes="textbox")
-
-        gr.ChatInterface(
-            fn=chat_interface,
-            chatbot=chatbot,
-            textbox=textbox,
-            examples=[
-                "What are Krishna's research interests?",
-                "Where did Krishna work?",
-                "What did he study at Virginia Tech?"
-            ],
-            type= "messages",
-        )
+            
+demo = gr.ChatInterface(
+    fn=chat_interface,
+    title="💬 Ask Krishna's AI Assistant",
+    description="💡 Ask anything about Krishna Vamsi Dhulipalla",
+    # examples=[
+    #     "What are Krishna's research interests?",
+    #     "Where did Krishna work?",
+    #     "What did he study at Virginia Tech?"
+    # ],
+    theme="default"
+)
 
 if __name__ == "__main__":
-    # Add resource verification
-    print(f"FAISS path exists: {Path(FAISS_PATH).exists()}")
-    print(f"Chunks path exists: {Path(CHUNKS_PATH).exists()}")
-    print(f"Vectorstore type: {type(vectorstore)}")
-    print(f"All chunks count: {len(all_chunks)}")
+    demo.launch(debug=True)
+
+# with gr.Blocks(css="""
+#      html, body, .gradio-container {
+#         height: 100%;
+#         margin: 0;
+#         padding: 0;
+#     }
+#     .gradio-container {
+#         width: 90%;
+#         max-width: 1000px;
+#         margin: 0 auto;
+#         padding: 1rem;
+#     }
+
+#     .chatbox-container {
+#         display: flex;
+#         flex-direction: column;
+#         height: 95%;
+#     }
+
+#     .chatbot {
+#         flex: 1;
+#         overflow-y: auto;
+#         min-height: 500px;
+#     }
+
+#     .textbox {
+#         margin-top: 1rem;
+#     }
+#     #component-523 {
+#         height: 98%;
+#     }
+# """) as demo:
+#     with gr.Column(elem_classes="chatbox-container"):
+#         gr.Markdown("## 💬 Ask Krishna's AI Assistant")
+#         gr.Markdown("💡 Ask anything about Krishna Vamsi Dhulipalla")
+#         chatbot = gr.Chatbot(elem_classes="chatbot", type="messages")
+#         textbox = gr.Textbox(placeholder="Ask a question about Krishna...", elem_classes="textbox")
+
+#         gr.ChatInterface(
+#             fn=chat_interface,
+#             chatbot=chatbot,
+#             textbox=textbox,
+#             # examples=[
+#             #     "What are Krishna's research interests?",
+#             #     "Where did Krishna work?",
+#             #     "What did he study at Virginia Tech?"
+#             # ],
+#             type= "messages",
+#         )
+
+# if __name__ == "__main__":
+#     # Add resource verification
+#     print(f"FAISS path exists: {Path(FAISS_PATH).exists()}")
+#     print(f"Chunks path exists: {Path(CHUNKS_PATH).exists()}")
+#     print(f"Vectorstore type: {type(vectorstore)}")
+#     print(f"All chunks count: {len(all_chunks)}")
     
-    # Launch the application
-    demo.launch(debug=True)
+#     # Launch the application
+#     demo.launch(debug=True)

requirements.txt

@@ -1,6 +1,6 @@
 fastapi
 uvicorn
-gradio
+gradio==5.31.0
 rich
 numpy
 python-dotenv