Update app.py

app.py

@@ -1,45 +1,39 @@
 import gradio as gr
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-# Define the models and their corresponding names
 models = {
-    "Model 1 (lmsys/vicuna-13b-v1.3)": {
-        "model_name": "lmsys/vicuna-13b-v1.3",
-        "description": "Model 1: Foundation 13B Vicuna Model",
+    "Model 1 (facebook/bart-large-cnn)": {
+        "model_name": "facebook/bart-large-cnn",
+        "description": "Model 1",
     },
-    "Model 2 (Aiyan99/theus_concepttagger)": {
-        "model_name": "Aiyan99/theus_concepttagger",
-        "description": "Model 2: My finetuned model",
+    "Model 2 (google/pegasus-multi_news)": {
+        "model_name": "google/pegasus-multi_news",
+        "description": "Model 2",
     },
 }
 
-# Define the Gradio interface
 def summarize_text(input_text, selected_model):
-    # Get the selected model and its tokenizer
     model_info = models[selected_model]
     tokenizer = AutoTokenizer.from_pretrained(model_info["model_name"])
     model = AutoModelForSeq2SeqLM.from_pretrained(model_info["model_name"])
     
-    # Tokenize and generate summary
     input_ids = tokenizer.encode(input_text, return_tensors="pt", max_length=1024, truncation=True)
     summary_ids = model.generate(input_ids, max_length=10, min_length=1, length_penalty=1.0, num_beams=4, early_stopping=True)
     summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
     return summary
 
-# Define a custom theme for the Gradio interface
-custom_theme = gr.theme(
-    page_title="MLE - Project (Tuning and Infra Project)1MLE - Project (Tuning and Infra Project)",
-    layout="wide",
-    page_bgcolor="black",
-)
+custom_title = """
+<div style="color: white; text-align: center; background-color: black; padding: 20px;">
+    <h1>MLE - Project (Tuning and Infra Project)1MLE - Project (Tuning and Infra Project)</h1>
+</div>
+"""
 
 iface = gr.Interface(
     fn=summarize_text,
     inputs=[gr.inputs.Textbox(label="Input Text"), gr.inputs.Radio(list(models.keys()), label="Select Model")],
     outputs="text",
-    title="Text Summarization App",
-    description="Choose a model for text summarization and enter the text to summarize.",
-    theme=custom_theme,  # Apply the custom theme
+    title=custom_title,  
+    description="Choose a model for Concept Assignation and enter the text to summarize.",
 )
 
 if __name__ == "__main__":