rahulhans commited on
Commit
6a87b79
·
verified ·
1 Parent(s): a2ce524

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +45 -45
README.md CHANGED
@@ -1,45 +1,45 @@
1
- ---
2
- title: GenAI Content Studio
3
- emoji: 🎨
4
- colorFrom: blue
5
- colorTo: purple
6
- sdk: gradio
7
- sdk_version: 3.50.0
8
- app_file: app.py
9
- pinned: false
10
- ---
11
-
12
- # GenAI Content Studio
13
-
14
- A free and open-source AI content generation studio with multiple features:
15
-
16
- - Text Generation
17
- - Text Summarization
18
- - Image Generation
19
- - Audio Generation
20
- - Code Generation
21
-
22
- ## Features
23
-
24
- - **Text Generation**: Generate creative text using OPT-350M
25
- - **Text Summarization**: Summarize long texts using BART
26
- - **Image Generation**: Create images from text prompts using Stable Diffusion
27
- - **Audio Generation**: Convert text to speech using MMS-TTS
28
- - **Code Generation**: Generate Python code using CodeGPT
29
-
30
- ## Setup
31
-
32
- 1. Clone the repository
33
- 2. Install dependencies:
34
- ```bash
35
- pip install -r requirements.txt
36
- ```
37
-
38
- 3. Run the application:
39
- ```bash
40
- python app.py
41
- ```
42
-
43
- ## License
44
-
45
- MIT License
 
1
+ ---
2
+ title: GenAI Content Studio
3
+ emoji: 🎨
4
+ colorFrom: blue
5
+ colorTo: purple
6
+ sdk: gradio
7
+ sdk_version: 5.25.0
8
+ app_file: app.py
9
+ pinned: false
10
+ ---
11
+
12
+ # GenAI Content Studio
13
+
14
+ A free and open-source AI content generation studio with multiple features:
15
+
16
+ - Text Generation
17
+ - Text Summarization
18
+ - Image Generation
19
+ - Audio Generation
20
+ - Code Generation
21
+
22
+ ## Features
23
+
24
+ - **Text Generation**: Generate creative text using OPT-350M
25
+ - **Text Summarization**: Summarize long texts using BART
26
+ - **Image Generation**: Create images from text prompts using Stable Diffusion
27
+ - **Audio Generation**: Convert text to speech using MMS-TTS
28
+ - **Code Generation**: Generate Python code using CodeGPT
29
+
30
+ ## Setup
31
+
32
+ 1. Clone the repository
33
+ 2. Install dependencies:
34
+ ```bash
35
+ pip install -r requirements.txt
36
+ ```
37
+
38
+ 3. Run the application:
39
+ ```bash
40
+ python app.py
41
+ ```
42
+
43
+ ## License
44
+
45
+ MIT License