Update app.py

app.py

@@ -15,43 +15,7 @@ from share_btn import community_icon_html, loading_icon_html, share_js, share_bt
 
 FORMATS = """## Model Formats
 
-The model is pretrained on code and is formatted with special tokens in addition to the pure code data,\
-such as prefixes specifying the source of the file or tokens separating code from a commit message.\
-Use these templates to explore the model's capacities:
-
-### 1. Prefixes 🏷️
-For pure code files, use any combination of the following prefixes:
-
-```
-<reponame>REPONAME<filename>FILENAME<gh_stars>STARS\ncode<|endoftext|>
-```
-STARS can be one of: 0, 1-10, 10-100, 100-1000, 1000+
-
-### 2. Commits 💾
-The commits data is formatted as follows:
-
-```
-<commit_before>code<commit_msg>text<commit_after>code<|endoftext|>
-```
-
-### 3. Jupyter Notebooks 📓
-The model is trained on Jupyter notebooks as Python scripts and structured formats like:
-
-```
-<start_jupyter><jupyter_text>text<jupyter_code>code<jupyter_output>output<jupyter_text>
-```
-
-### 4. Issues 🐛
-We also trained on GitHub issues using the following formatting:
-```
-<issue_start><issue_comment>text<issue_comment>...<issue_closed>
-```
-
-### 5. Fill-in-the-middle 🧩
-Fill in the middle requires rearranging the model inputs. The playground handles this for you - all you need is to specify where to fill:
-```
-code before<FILL_HERE>code after
-```
+The model is pretrained on code and specifically learns to use APIs from the unknonw libraries.
 """
 
 if not torch.cuda.is_available():