sliders added

app.py

@@ -23,14 +23,6 @@ device = "cuda"
 adapter = MotionAdapter.from_pretrained("guoyww/animatediff-motion-adapter-v1-5-2", torch_dtype=torch.float16)
 model_id = "SG161222/Realistic_Vision_V5.1_noVAE"
 
-model_llm = AutoModelForCausalLM.from_pretrained(
-    "microsoft/Phi-3-mini-128k-instruct",
-    device_map="cuda",
-    torch_dtype="auto",
-    trust_remote_code=True,
-)
-tokenizer_llm = AutoTokenizer.from_pretrained("microsoft/Phi-3-mini-128k-instruct")
-
 pipe = AnimateDiffPipeline.from_pretrained(model_id, motion_adapter=adapter, torch_dtype=torch.float16).to(device)
 scheduler = DDIMScheduler.from_pretrained(
     model_id,
@@ -47,26 +39,6 @@ def generate_video(prompt,negative_prompt, guidance_scale, num_inference_steps,
 
     pipe.to(device)
 
-    messages = [
-        {"role": "user", "content": "You have to complete my given prompt into a complete description. The purpose of this description is to descibe a video generation. Follow the order of prompt. My Prompt: " + prompt},
-    ]
-
-    pipe_llm = pipeline(
-        "text-generation",
-        model=model_llm,
-        tokenizer=tokenizer_llm,
-        device_map='auto'
-    )
-    generation_args = {
-        "max_new_tokens": 512,
-        "return_full_text": False,
-        "temperature": 0.0,
-        "do_sample": False,
-    }
-
-    output = pipe_llm(messages, **generation_args)
-    print(output[0]['generated_text'])
-
     # Set adapters based on user selection
     if adapter_choices:
         for i in range(len(adapter_choices)):
@@ -78,7 +50,7 @@ def generate_video(prompt,negative_prompt, guidance_scale, num_inference_steps,
         print(adapter_choices)
 
     output = pipe(
-        prompt=output[0]['generated_text'],
+        prompt=prompt,
         negative_prompt=negative_prompt,
         num_frames=16,
         guidance_scale=guidance_scale,
@@ -92,7 +64,7 @@ def generate_video(prompt,negative_prompt, guidance_scale, num_inference_steps,
 
 
 iface = gr.Interface(
-    theme=gr.themes.Soft(primary_hue="red", secondary_hue="pink"),
+    theme=gr.themes.Soft(primary_hue="indigo", secondary_hue="violet"),
     fn=generate_video,
     inputs=[
         gr.Textbox(label="Enter your prompt"),