Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -1,61 +0,0 @@
|
|
1 |
-
import streamlit as st
|
2 |
-
from langchain_community.document_loaders import YoutubeLoader
|
3 |
-
from transformers import AutoTokenizer, AutoModelForCausalLM
|
4 |
-
import torch
|
5 |
-
|
6 |
-
st.set_page_config(page_title="DeepSeek YouTube Summarizer", layout="centered")
|
7 |
-
st.title("📺 YouTube Video Summarizer with DeepSeek")
|
8 |
-
|
9 |
-
# Input YouTube URL
|
10 |
-
url = st.text_input("Enter YouTube Video URL:")
|
11 |
-
|
12 |
-
# Load DeepSeek model and tokenizer
|
13 |
-
@st.cache_resource
|
14 |
-
def load_model():
|
15 |
-
model_id = "deepseek-ai/deepseek-llm-7b-instruct"
|
16 |
-
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
|
17 |
-
model = AutoModelForCausalLM.from_pretrained(
|
18 |
-
model_id, device_map="auto", torch_dtype=torch.float16, trust_remote_code=True
|
19 |
-
)
|
20 |
-
return tokenizer, model
|
21 |
-
|
22 |
-
tokenizer, model = load_model()
|
23 |
-
|
24 |
-
def summarize_with_deepseek(text):
|
25 |
-
prompt = f"""<|system|>\nYou are a helpful assistant.\n<|user|>\nSummarize the following text:\n{text}\n<|assistant|>"""
|
26 |
-
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
|
27 |
-
outputs = model.generate(
|
28 |
-
**inputs,
|
29 |
-
max_new_tokens=300,
|
30 |
-
do_sample=False,
|
31 |
-
temperature=0.7,
|
32 |
-
top_k=50,
|
33 |
-
top_p=0.95,
|
34 |
-
)
|
35 |
-
summary = tokenizer.decode(outputs[0], skip_special_tokens=True)
|
36 |
-
return summary.split("<|assistant|>")[-1].strip()
|
37 |
-
|
38 |
-
if st.button("Extract and Summarize"):
|
39 |
-
if url:
|
40 |
-
try:
|
41 |
-
loader = YoutubeLoader.from_youtube_url(url)
|
42 |
-
data = loader.load()
|
43 |
-
transcript = data[0].page_content if data else "No transcript found."
|
44 |
-
|
45 |
-
st.subheader("📖 Extracted Transcript")
|
46 |
-
st.text_area("Transcript:", transcript, height=300)
|
47 |
-
|
48 |
-
# Truncate for prompt length safety
|
49 |
-
if len(transcript) > 1500:
|
50 |
-
transcript = transcript[:1500]
|
51 |
-
|
52 |
-
with st.spinner("Summarizing using DeepSeek..."):
|
53 |
-
summary = summarize_with_deepseek(transcript)
|
54 |
-
|
55 |
-
st.subheader("🧠 Summary")
|
56 |
-
st.success(summary)
|
57 |
-
|
58 |
-
except Exception as e:
|
59 |
-
st.error(f"Error: {str(e)}")
|
60 |
-
else:
|
61 |
-
st.warning("Please enter a valid YouTube URL.")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|