Update app.py

app.py

@@ -1,9 +1,20 @@
+Based on the information obtained from various sources, to optimize your Gradio app for deployment on Hugging Face Spaces, follow these steps:
+
+1. **Create a New Space on Hugging Face**:
+   - Select Gradio as the SDK when creating a new space on Hugging Face. This will initialize your space with the latest version of Gradio. Set the `sdk` property to `gradio` in your `README.md` file's YAML block [oai_citation:1,Gradio Spaces](https://huggingface.co/docs/hub/spaces-sdks-gradio).
+
+2. **Prepare Your Dependencies**:
+   - If your app requires additional dependencies, create a `requirements.txt` file in your repository, and list all necessary libraries there [oai_citation:2,Gradio Spaces](https://huggingface.co/docs/hub/spaces-sdks-gradio).
+
+3. **Implement Your Gradio App**:
+   - Create a new file called `app.py` in your repository.
+   - Import necessary libraries, define your function to interact with the Rayso API, and create a Gradio interface.
+   - Below is a simplified version of your original script adjusted for Hugging Face Spaces:
+```python
 import gradio as gr
 import requests
-import json
 
 def get_code_screenshot(code, title, theme, background, darkMode, padding, language):
-    # Prepare the payload
     payload = {
         "code": code,
         "title": title,
@@ -13,19 +24,14 @@ def get_code_screenshot(code, title, theme, background, darkMode, padding, langu
         "padding": padding,
         "language": language
     }
-    # Send POST request to Rayso API
     response = requests.post("https://rayso.herokuapp.com/api", json=payload)
-    # Check for a valid response
     if response.status_code == 200:
-        # Convert response to json
         data = response.json()
-        # Get image URL from response
         image_url = data.get('url')
         return image_url
     else:
         return f"Failed to get image: {response.status_code}"
 
-# Define Gradio interface
 iface = gr.Interface(
     fn=get_code_screenshot,
     inputs=[
@@ -37,9 +43,21 @@ iface = gr.Interface(
         gr.inputs.Dropdown(choices=["16", "32", "64", "128"], label="Padding"),
         gr.inputs.Textbox(default="auto", placeholder="Enter language..."),
     ],
-    outputs=[gr.outputs.Image(type="url")],
-    live=True
+    outputs=[gr.outputs.Image(type="url")]
 )
 
 if __name__ == "__main__":
-    iface.launch()
+    iface.launch()
+```
+
+4. **Deploy Your Gradio App**:
+   - After creating your Gradio app, deploy it to Hugging Face Spaces by running the following command in your app directory:
+```bash
+gradio deploy
+```
+   - This command gathers some basic metadata and then launches your app on Hugging Face Spaces [oai_citation:3,Sharing Your App - gradio.app](https://www.gradio.app/guides/sharing-your-app#:~:text=After%20you%20have%20created%20a,and%20then%20launch%20your%20app).
+
+5. **Review and Test Your App**:
+   - Once deployed, test your app on Hugging Face Spaces to ensure it's working as expected. If necessary, make any required adjustments to your code, and redeploy the app.
+
+Now your Gradio app should be optimized and deployed on Hugging Face Spaces, allowing users to interact with the Rayso API through a user-friendly interface.