Spaces:
Sleeping
Sleeping
Delete studybot.py
Browse files- studybot.py +0 -24
studybot.py
DELETED
@@ -1,24 +0,0 @@
|
|
1 |
-
import streamlit as st
|
2 |
-
from transformers import AutoModelForCausalLM, AutoTokenizer
|
3 |
-
import torch
|
4 |
-
|
5 |
-
# Load Phi-2 model and tokenizer
|
6 |
-
MODEL_NAME = "microsoft/phi-2"
|
7 |
-
tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
|
8 |
-
model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)
|
9 |
-
|
10 |
-
def get_response(user_input):
|
11 |
-
input_ids = tokenizer(user_input, return_tensors="pt").input_ids
|
12 |
-
with torch.no_grad():
|
13 |
-
output = model.generate(input_ids, max_length=200)
|
14 |
-
response = tokenizer.decode(output[:, input_ids.shape[-1]:][0], skip_special_tokens=True)
|
15 |
-
return response
|
16 |
-
|
17 |
-
# Streamlit UI
|
18 |
-
st.title("Study Buddy Chatbot 📚")
|
19 |
-
st.write("Ask a question or type a topic, and I'll help you learn!")
|
20 |
-
|
21 |
-
user_input = st.text_input("Type your question or topic:")
|
22 |
-
if user_input:
|
23 |
-
response = get_response(user_input)
|
24 |
-
st.write("🤖 Chatbot:", response)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|