app20

app.py

@@ -47,7 +47,7 @@ image_gradio_app = gr.Interface(
 
 # Cell 2: Chatbot Model
 
-loader = PyPDFDirectoryLoader('pdfs')
+loader = WebBaseLoader(["https://www.epa.gov/recycle/frequent-questions-recycling", "https://www.whitehorsedc.gov.uk/vale-of-white-horse-district-council/recycling-rubbish-and-waste/lets-get-real-about-recycling/", "https://www.teimas.com/blog/13-preguntas-y-respuestas-sobre-la-ley-de-residuos-07-2022", "https://www.molok.com/es/blog/gestion-de-residuos-solidos-urbanos-rsu-10-dudas-comunes"])
 data=loader.load()
 # split documents
 text_splitter = RecursiveCharacterTextSplitter(
@@ -83,8 +83,8 @@ Your name is AngryGreta and you are a recycling chatbot with the objective to an
 Use the following pieces of context to answer the question /
 If the question is English answer in English /
 If the question is Spanish answer in Spanish /
-Do not mention the word context when you answer a question, use the word database instead /
-Answer the question fully and provide as much relevant detail as possible. Do not cut your response short
+Do not mention the word context when you answer a question /
+Answer the question fully and provide as much relevant detail as possible. Do not cut your response short /
 Context: {context}
 User: {question}
 {format_instructions}