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import gradio as gr
import os
import time
from utils import *
vectordb = ""
def print_like_dislike(x: gr.LikeData):
print(x.index, x.value, x.liked)
def add_message(history, message):
if len(message["files"]) > 0:
history.append((message["files"], None))
if message["text"] is not None and message["text"] != "":
history.append((message["text"], None))
return history, gr.MultimodalTextbox(value=None, interactive=False)
def bot(history):
global vectordb
global tsk
if type(history[-1][0]) != tuple:
if vectordb == "":
pipe = pipeline(tsk, tokenizer=tokenizer, model=model)
response = pipe(history[-1][0])[0]
response = response["generated_text"]
history[-1][1] = ""
for character in response:
history[-1][1] += character
time.sleep(0.05)
yield history
else:
try:
response = just_chatting(model=model, tokenizer=tokenizer, query=history[-1][0], vectordb=vectordb, chat_history=[convert_none_to_str(his) for his in history])["answer"]
history[-1][1] = ""
for character in response:
history[-1][1] += character
time.sleep(0.05)
yield history
except Exception as e:
response = f"Sorry, the error '{e}' occured while generating the response; check [troubleshooting documentation](https://astrabert.github.io/everything-rag/#troubleshooting) for more"
if type(history[-1][0]) == tuple:
filelist = []
for i in history[-1][0]:
filelist.append(i)
finalpdf = merge_pdfs(filelist)
vectordb = create_a_persistent_db(finalpdf, os.path.dirname(finalpdf)+"_localDB", os.path.dirname(finalpdf)+"_embcache")
response = "VectorDB was successfully created, now you can ask me anything about the document you uploaded!😊"
history[-1][1] = ""
for character in response:
history[-1][1] += character
time.sleep(0.05)
yield history
with gr.Blocks() as demo:
chatbot = gr.Chatbot(
[[None, "Hi, I'm **everything-rag**🤖.\nI'm here to assist you and let you chat with _your_ pdfs!\nCheck [my website](https://astrabert.github.io/everything-rag/) for troubleshooting and documentation reference\nHave fun!😊"]],
label="everything-rag",
elem_id="chatbot",
bubble_full_width=False,
)
chat_input = gr.MultimodalTextbox(interactive=True, file_types=["pdf"], placeholder="Enter message or upload file...", show_label=False)
chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])
bot_msg = chat_msg.then(bot, chatbot, chatbot, api_name="bot_response")
bot_msg.then(lambda: gr.MultimodalTextbox(interactive=True), None, [chat_input])
chatbot.like(print_like_dislike, None, None)
gr.ClearButton(chatbot)
demo.queue()
if __name__ == "__main__":
demo.launch()
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