Update app.py

app.py

@@ -5,12 +5,18 @@ import torch
 
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 
-#SAVED_MODEL_PATH = 'bart_base_full_finetune_save'
-SAVED_MODEL_PATH = './'
+SAVED_MODEL_PATH = '/Users/sanjanajd/Desktop/Bart-base_Summarizer/bart_base_full_finetune_save'
 model_name = "facebook/bart-base"
 model = AutoModelForSeq2SeqLM.from_pretrained(SAVED_MODEL_PATH).to(device)
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 
+#dataset = load_dataset("samsum")
+dataset = load_dataset("samsum", download_mode="force_redownload")
+
+
+train_data = dataset["train"]
+validation_data = dataset["validation"] 
+test_data = dataset["test"]
 
 def summarize(text):
     inputs = tokenizer(f"Summarize dialogue >>\n {text}", return_tensors="pt", max_length=1000, truncation=True, padding="max_length").to(device)
@@ -18,10 +24,11 @@ def summarize(text):
     summary = [tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=False) for g in summary_ids]
     return summary[0]
 
+
 iface = gr.Interface(
     fn=summarize,
-    inputs=gr.Textbox(lines=10, label="Input Dialogue"),
-    outputs=gr.Textbox(label="Generated Summary")
+    inputs=gr.inputs.Textbox(lines=10, label="Input Dialogue"),
+    outputs=gr.outputs.Textbox(label="Generated Summary")
 )
 
 iface.launch()'''

requirements.txt

@@ -86,7 +86,9 @@ exceptiongroup @ file:///home/conda/feedstock_root/build_artifacts/exceptiongrou
 executing @ file:///home/conda/feedstock_root/build_artifacts/executing_1698579936712/work
 filelock==3.13.4
 frozenlist==1.4.1
-fsspec==2024.2.0
+fsspec==2024.2.0
+gradio==4.26.0
+gradio_client==0.15.1
 huggingface-hub==0.22.2
 idna==3.7
 importlib_metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1710971335535/work