Update app.py

app.py

@@ -52,38 +52,30 @@ def process_urls_with_logs(url1, url2, url3):
     urls = [u for u in urls if u.strip() != ""]
     
     if len(urls) == 0:
-        yield "⚠️ Please provide at least one URL."
+        yield gr.Textbox.update(value="⚠️ Please provide at least one URL.")
         return
     
-    yield "⏳ Loading URLs..."
+    yield gr.Textbox.update(value="⏳ Loading URLs...")
     loader = UnstructuredURLLoader(urls=urls)
     documents = loader.load()
     
-    yield "⏳ Creating the chunks..."
-    text_splitter = RecursiveCharacterTextSplitter(
-        chunk_size=600,
-        chunk_overlap=200
-    )
+    yield gr.Textbox.update(value="⏳ Creating the chunks...")
+    text_splitter = RecursiveCharacterTextSplitter(chunk_size=600, chunk_overlap=200)
     splits = text_splitter.split_documents(documents)
     
-    yield "⏳ Creating embeddings..."
-    embeddings = HuggingFaceEmbeddings(
-        model_name="mixedbread-ai/mxbai-embed-large-v1"
-    )
+    yield gr.Textbox.update(value="⏳ Creating embeddings...")
+    embeddings = HuggingFaceEmbeddings(model_name="mixedbread-ai/mxbai-embed-large-v1")
     
-    yield "⏳ Creating a vector database-like structure (FAISS)..."
-    vectorstore = FAISS.from_documents(
-        documents=splits,
-        embedding=embeddings
-    )
+    yield gr.Textbox.update(value="⏳ Creating a vector database-like structure (FAISS)...")
+    vectorstore = FAISS.from_documents(documents=splits, embedding=embeddings)
     
-    yield "⏳ Starting LLM model (meta-llama/Llama-2-7b-hf)..."
+    yield gr.Textbox.update(value="⏳ Starting LLM model (meta-llama/Llama-2-7b-hf)...")
     retriever = vectorstore.as_retriever()
     
     from langchain_core.runnables import RunnableSequence
     simple_chain = RunnableSequence(prompt, llm, StrOutputParser())
     
-    yield "✅ URLs processed successfully!"
+    yield gr.Textbox.update(value="✅ URLs processed successfully!")
 
 # ------------------------
 # Function to answer questions
@@ -126,12 +118,11 @@ with gr.Blocks() as app:
             ask_btn = gr.Button("Ask")
             answer_output = gr.Textbox(label="Answer", lines=8)
     
-    # Connect buttons to their functions
+    # Connect buttons to suas funções
     process_btn.click(
         process_urls_with_logs,
         inputs=[url1, url2, url3],
-        outputs=status_output,
-        streaming=True  # ⚡️ atualiza logs em tempo real
+        outputs=status_output
     )
     
     ask_btn.click(