Trying "agentica-org/DeepScaleR-1.5B-Preview"

app.py

@@ -13,7 +13,7 @@ from PIL import Image, ImageDraw, ImageFont
 
 def generate_script(topic):
     """Uses an open-source LLM to generate an engaging script of 8-10 minutes."""
-    llm = pipeline("text-generation", model="mistralai/Mistral-7B-Instruct-v0.3")
+    llm = pipeline("text-generation", model="agentica-org/DeepScaleR-1.5B-Preview")
     prompt = (f"Write an engaging and informative script on the topic '{topic}'. "
               "The text should take about 8-10 minutes to read aloud at a normal pace.")
     response = llm(prompt, max_length=1500, do_sample=True, temperature=0.7)
@@ -139,7 +139,7 @@ with gr.Blocks() as demo:
     file_input = gr.File(label="Or upload a .txt file")
     image_size_input = gr.Radio(choices=["640x480", "800x600", "1024x768"], label="Select Image Size", value="640x480")
     use_diffusion_input = gr.Checkbox(label="Use Diffusion Images", value=True)
-    num_steps_input = gr.Slider(minimum=1, maximum=50, step=1, value=5, label="Diffusion Model Steps")
+    num_steps_input = gr.Slider(minimum=1, maximum=50, step=1, value=40, label="Diffusion Model Steps")
     process_btn = gr.Button("Generate Video")
     output_video = gr.Video()