Update app.py

app.py

@@ -1,10 +1,10 @@
 import gradio as gr
-from langchain.document_loaders import PyPDFLoader
+from langchain_community.document_loaders import PyPDFLoader
 from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain.embeddings import HuggingFaceEmbeddings
-from langchain.vectorstores import FAISS
+from langchain_community.embeddings import HuggingFaceEmbeddings
+from langchain_community.vectorstores import FAISS
 from langchain.chains import RetrievalQA
-from langchain.llms import HuggingFaceHub
+from langchain_community.llms import HuggingFaceHub
 
 # Configurações
 EMBEDDING_MODEL = "sentence-transformers/all-mpnet-base-v2"
@@ -32,7 +32,7 @@ def generate_response(pdf_file, query):
         return "Erro: Nenhum arquivo PDF foi carregado."
 
     # Carrega e processa o PDF
-    db = load_and_process_pdf(pdf_file.name)
+    db = load_and_process_pdf(pdf_file)
 
     # Configura o modelo de linguagem
     llm = HuggingFaceHub(repo_id=LLM_REPO_ID, model_kwargs={"temperature": 0.7, "max_length": 512})
@@ -53,7 +53,7 @@ def generate_response(pdf_file, query):
 iface = gr.Interface(
     fn=generate_response,
     inputs=[
-        gr.File(label="Upload PDF", type="file"),
+        gr.File(label="Upload PDF", type="filepath"),  # Corrigido para "filepath"
         gr.Textbox(label="Sua Pergunta")
     ],
     outputs=gr.Textbox(label="Resposta Gerada"),