Update app.py

app.py

@@ -3,6 +3,8 @@ import openai
 
 def generate_scene_description(api_key, theme, scene_number):
     openai.api_key = api_key
+    
+    # Variables that represent each part of the scene description
     intro = f"Generate a structured scene description for a video on the theme \"{theme}\":\n\n"
     scene = f"Scene #{scene_number}\n"
     narrator_voice = "Narrator's voice: \n"
@@ -12,12 +14,28 @@ def generate_scene_description(api_key, theme, scene_number):
     
     prompt = intro + scene + narrator_voice + video_prompt + voice_over + music_style
     
+    # Call to OpenAI's GPT-3.5 API with the custom prompt
     response = openai.Completion.create(
         engine="text-davinci-003",
         prompt=prompt,
         max_tokens=250
     )
     
+    # The response from the AI is formatted text based on our structured prompt
     return response.choices[0].text.strip()
 
+# Create the Gradio interface with appropriate inputs and outputs
+iface = gr.Interface(
+    fn=generate_scene_description,
+    inputs=[
+        gr.Textbox(label="Your OpenAI API Key", type="password"),  # Secure API key input
+        gr.Textbox(label="Thematic Area", placeholder="Enter a thematic area, e.g., Climate Crisis"),  # Thematic area input
+        gr.Dropdown(label="Scene Number", choices=[1, 2, 3, 4, 5, 6], type="index")  # Dropdown for selecting scene number
+    ],
+    outputs="text",  # The output is a text field
+    title="Video Scene Description Generator",  # Title of the Gradio app
+    description="This app generates structured scene descriptions for a video based on the given thematic area using GPT-3.5."  # Description for the Gradio app
+)
+
+# Launch the interface locally for testing
 iface.launch()