vedaco commited on
Commit
456f83b
·
verified ·
1 Parent(s): 675f76e

Upload README(1).md

Browse files
Files changed (1) hide show
  1. README(1).md +56 -0
README(1).md ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Tera V2
2
+
3
+ AI Document Intelligence powered by local Ollama (qwen3.5:0.8b)
4
+
5
+ ## Requirements
6
+
7
+ - Ollama installed (https://ollama.com)
8
+ - qwen3.5:0.8b model: `ollama pull qwen3.5:0.8b`
9
+ - Node.js (for backend only)
10
+
11
+ ## Quick Start
12
+
13
+ ### 1. Start Ollama (Terminal 1)
14
+ ```bash
15
+ ollama run qwen3.5:0.8b
16
+ ```
17
+
18
+ ### 2. Start Backend (Terminal 2)
19
+ ```bash
20
+ npm install
21
+ npm start
22
+ ```
23
+
24
+ ### 3. Open Frontend
25
+ Double-click `tera-docs.html` in your browser
26
+
27
+ ## Configuration
28
+
29
+ Edit `.env` to change model or port:
30
+ ```env
31
+ OLLAMA_URL=http://localhost:11434
32
+ MODEL=qwen3.5:0.8b
33
+ PORT=5000
34
+ ```
35
+
36
+ ## Features
37
+
38
+ - Chat with documents
39
+ - File upload (PDF, TXT, images)
40
+ - Audio generation
41
+ - Dark mode
42
+ - 100% local - no API keys
43
+
44
+ ## Cloud Deployment
45
+
46
+ For cloud deployment without local Node.js, use included Docker files:
47
+ - `Dockerfile` - Container definition
48
+ - `start.sh` - Startup script
49
+
50
+ Deploy to Hugging Face Spaces, RunPod, or any Docker host.
51
+
52
+ ## License
53
+
54
+ MIT + Qwen License (see LICENSE file)
55
+
56
+ Tera V2 is a rebranded deployment of Qwen3.5 for document intelligence tasks.