Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 import os
 import time
 
-from langchain.document_loaders import OnlinePDFLoader
+from langchain.document_loaders import OnlinePDFLoader, PyPDFLoader
 
 from langchain.text_splitter import CharacterTextSplitter
 
@@ -19,10 +19,10 @@ from langchain.chains import ConversationalRetrievalChain
 def loading_pdf():
     return "Loading..."
 
-def pdf_changes(pdf_doc, open_ai_key):
-    if openai_key is not None:
+def pdf_changes(open_ai_key):
+    if open_ai_key is not None:
         os.environ['OPENAI_API_KEY'] = open_ai_key
-        loader = OnlinePDFLoader(pdf_doc.name)
+        loader = PyPDFLoader("He Yingxu_2806.pdf")
         documents = loader.load()
         text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
         texts = text_splitter.split_documents(documents)
@@ -86,7 +86,7 @@ with gr.Blocks(css=css) as demo:
         
         with gr.Column():
             openai_key = gr.Textbox(label="You OpenAI API key", type="password")
-            pdf_doc = gr.File(label="Load a pdf", file_types=['.pdf'], type="file")
+            # pdf_doc = gr.File(label="Load a pdf", file_types=['.pdf'], type="file")
             with gr.Row():
                 langchain_status = gr.Textbox(label="Status", placeholder="", interactive=False)
                 load_pdf = gr.Button("Load pdf to langchain")
@@ -95,7 +95,7 @@ with gr.Blocks(css=css) as demo:
         question = gr.Textbox(label="Question", placeholder="Type your question and hit Enter ")
         submit_btn = gr.Button("Send Message")
     load_pdf.click(loading_pdf, None, langchain_status, queue=False)    
-    load_pdf.click(pdf_changes, inputs=[pdf_doc, openai_key], outputs=[langchain_status], queue=False)
+    load_pdf.click(pdf_changes, inputs=[openai_key], outputs=[langchain_status], queue=False)
     question.submit(add_text, [chatbot, question], [chatbot, question]).then(
         bot, chatbot, chatbot
     )