Fix processing to handle subset of descriptions and match DataFrame length

app.py

@@ -12,15 +12,18 @@ async def process_csv(file):
  df = pd.read_csv(file, header=None) # Read the CSV file without a header
  descriptions = df[0].tolist() # Access the first column directly
  SAMPLE_SIZE = min(5, len(descriptions)) # Adjust sample size as needed
- descriptions = descriptions[:SAMPLE_SIZE]
+ descriptions_subset = descriptions[:SAMPLE_SIZE]
 
- model_name = "instruction-pretrain/finance-Llama3-8B" # Ensure this is the correct model name
+ model_name = "instruction-pretrain/finance-Llama3-8B" # or any other model you want to use
 
  results = []
- for desc in descriptions:
+ for desc in descriptions_subset:
  result = await process_text(model_name, desc)
  results.append(result)
  
+ # Fill the rest of the results with empty strings to match the length of the DataFrame
+ results.extend([''] * (len(descriptions) - SAMPLE_SIZE))
+ 
  df['predictions'] = results
  return df