Update app.py

app.py

@@ -40,8 +40,6 @@ class Chatbot:
         try:
             self.vectorstore = FAISS.load_local('faiss_index', HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-base-v2", model_kwargs={"device": "cuda"}))
             # self.vectorstore = FAISS.load_local('faiss_index', HuggingFaceEmbeddings(model_name="flax-sentence-embeddings/all_datasets_v3_MiniLM-L12", model_kwargs={"device": "cuda"}))
-            # cpu_index = faiss.read_index('faiss_index_new_model3.index')
-            # gpu_index = faiss.index_cpu_to_gpu(gpu_resource, 0, cpu_index)
             print("Loaded embedding successfully")
         except ImportError as e:
             print("FAISS could not be imported. Make sure FAISS is installed correctly.")
@@ -143,4 +141,31 @@ class Chatbot:
 
 # Instantiate and launch the chatbot
 chatbot = Chatbot()
-chatbot.launch_interface()
+chatbot.launch_interface()
+
+"""Single Tab Input Inference"""
+
+    # def launch_interface(self):
+    #     css_code = """
+    #         .gradio-container {
+    #             background-color: #daccdb;
+    #         }
+
+    #         /* Button styling for all buttons */
+    #         button {
+    #             background-color: #927fc7; /* Default color for all other buttons */
+    #             color: black;
+    #             border: 1px solid black;
+    #             padding: 10px;
+    #             margin-right: 10px;
+    #             font-size: 16px; /* Increase font size */
+    #             font-weight: bold; /* Make text bold */
+    #         }
+
+    #         """
+    #     EXAMPLES = ["TDA4 product planning and datasheet release progress? ", 
+    #                 "I'm using Code Composer Studio 5.4.0.00091 and enabled FPv4SPD16 floating point support for CortexM4 in TDA2. However, after building the project, the .asm file shows --float_support=vfplib instead of FPv4SPD16. Why is this happening?", 
+    #                 "Master core in TDA2XX is a15 and in TDA3XX it is m4,so we have to shift all modules that are being used by a15 in TDA2XX to m4 in TDA3xx."]
+
+    #     demo = gr.Interface(fn=self.qa_infer, inputs=[gr.Textbox(label="QUERY", placeholder ="Enter your query here")], allow_flagging='never', examples=EXAMPLES, cache_examples=False, outputs=[gr.Textbox(label="SOLUTION"), gr.Textbox(label="RELATED QUERIES"), gr.HTML()], css=css_code)
+    #     demo.launch()