Update app.py

app.py

@@ -10,7 +10,7 @@ import uuid
 from sentence_transformers import SentenceTransformer
 import os
 
-f =''
+
 model_name = 'google/flan-t5-base'
 model = T5ForConditionalGeneration.from_pretrained(model_name, device_map='auto', offload_folder="offload")
 tokenizer = AutoTokenizer.from_pretrained(model_name)
@@ -42,9 +42,9 @@ def local_query(query, context):
  
     return tokenizer.batch_decode(outputs, skip_special_tokens=True)
 
-def run_query(history, query):
+def run_query(btn, history, query):
 
-    file_name = f.name 
+    file_name = btn.name 
    
     loader = PDFMinerLoader(file_name)
     doc = loader.load()
@@ -90,7 +90,7 @@ def run_query(history, query):
 def upload_pdf(file):
     try:
         if file is not None: 
-            f = file
+    
             return 'Successfully uploaded!'
         else:
             return "No file uploaded."
@@ -118,7 +118,7 @@ with gr.Blocks() as demo:
  
     # Event handler for uploading a PDF
     btn.upload(fn=upload_pdf, inputs=[btn], outputs=[output])
-    txt.submit(run_query, [chatbot, txt], [chatbot, txt])
+    txt.submit(run_query, [btn, chatbot, txt], [btn, chatbot, txt])
     #.then(
             # generate_response, inputs =[chatbot,],outputs = chatbot,)