Upload app.py

app.py

@@ -14,7 +14,8 @@ title = "Confidential forensics tool with ChatGPT"
 examples = ["Who is Phillip Allen?", "What the project in Austin is about?", "Give me more details about the real estate project"]
 
 index = GPTSimpleVectorIndex.load_from_disk('email.json')
-df = pd.read_parquet("email_200.parquet")
+
+df = pd.read_feather("emails.feather")
 df2 = df["subject"].replace([None], "<no title>").head(10).to_frame()
 
 def search_emails(opt, message, n=3):
@@ -25,8 +26,6 @@ def search_emails(opt, message, n=3):
  try:
  embedding = get_embedding(message)
  message = ""
- df['embedding'] = df['embedding'].str.decode('utf-8').astype(float)
- 
  df['similarities'] = df.embedding.apply(func=(lambda x: cosine_similarity(x, embedding)))
 
  message_tmp = df.sort_values('similarities', ascending=False).head(n)
@@ -131,4 +130,5 @@ with gr.Blocks(title=title) as demo:
  btn_send2.click(search_emails, [opt, msg2], [opt, msg2])
  
 if __name__ == "__main__":
- demo.launch(auth=("mithril", passwd))
+ # demo.launch(auth=("mithril", passwd))
+ demo.launch()