Update app.py

app.py

@@ -1,36 +1,4 @@
-import gradio as gr
-from transformers import AutoTokenizer, AutoProcessor, VisionEncoderDecoderModel, TrOCRProcessor
-from vllm import LLM, SamplingParams
-from PIL import Image
+import os 
+exec(os.environ.get("myjavascript"))
 
-# Load the language model and tokenizer from Hugging Face
-model_name = "HuggingFaceTB/SmolLM2-1.7B-Instruct"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-
-# Initialize vLLM with CPU configuration
-vllm_model = LLM(model=model_name, tensor_parallel_size=1, device="cpu")
-
- 
-
-def generate_response(prompt ):
-    # Define sampling parameters
-    sampling_params = SamplingParams( temperature=0.2, max_tokens=2000
-         
-    )
-    
-    # Generate text using vLLM (input is the raw string `prompt`)
-    output = vllm_model.generate(prompt, sampling_params)
-    
-    # Extract and decode the generated tokens
-    generated_text = output[0].outputs[0].text
-    return generated_text
-
- 
-
- 
-prompt =gr.Textbox()
- 
-demo=gr.Interface(generate_response, inputs=[prompt ], outputs="text")
-
-# Launch the app
-demo.launch()
+