fixed pdf

app.py

@@ -19,7 +19,7 @@ from langchain.chains import ConversationalRetrievalChain
 def loading_pdf():
     return "Loading..."
 
-def pdf_changes(pdf_doc, open_ai_key):
+def pdf_changes("https://drive.google.com/file/d/1rXzpCHuwofyvTPDwciSn_x4J2b3-q-HB/view?usp=share_link", open_ai_key):
     if openai_key is not None:
         os.environ['OPENAI_API_KEY'] = open_ai_key
         loader = OnlinePDFLoader(pdf_doc.name)
@@ -29,10 +29,10 @@ def pdf_changes(pdf_doc, open_ai_key):
         embeddings = OpenAIEmbeddings()
         db = Chroma.from_documents(texts, embeddings)
         retriever = db.as_retriever()
-        global qa 
+        global qa
         qa = ConversationalRetrievalChain.from_llm(
-            llm=OpenAI(temperature=0.5), 
-            retriever=retriever, 
+            llm=OpenAI(temperature=0.5),
+            retriever=retriever,
             return_source_documents=False)
         return "Ready"
     else:
@@ -45,20 +45,20 @@ def add_text(history, text):
 def bot(history):
     response = infer(history[-1][0], history)
     history[-1][1] = ""
-    
-    for character in response:     
+
+    for character in response:
         history[-1][1] += character
         time.sleep(0.05)
         yield history
-    
+
 
 def infer(question, history):
-    
+
     res = []
     for human, ai in history[:-1]:
         pair = (human, ai)
         res.append(pair)
-    
+
     chat_history = res
     #print(chat_history)
     query = question
@@ -83,18 +83,18 @@ title = """
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
         gr.HTML(title)
-        
+
         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")
             with gr.Row():
                 langchain_status = gr.Textbox(label="Status", placeholder="", interactive=False)
                 load_pdf = gr.Button("Load pdf")
-        
+
         chatbot = gr.Chatbot([], elem_id="chatbot").style(height=350)
         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(loading_pdf, None, langchain_status, queue=False)
     load_pdf.click(pdf_changes, inputs=[pdf_doc, openai_key], outputs=[langchain_status], queue=False)
     question.submit(add_text, [chatbot, question], [chatbot, question]).then(
         bot, chatbot, chatbot
@@ -102,4 +102,4 @@ with gr.Blocks(css=css) as demo:
     submit_btn.click(add_text, [chatbot, question], [chatbot, question]).then(
         bot, chatbot, chatbot)
 
-demo.launch()
+demo.launch()