Oranblock commited on
Commit
3c90643
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1 Parent(s): 9c4f109

Update app.py

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Files changed (1) hide show
  1. app.py +11 -11
app.py CHANGED
@@ -8,18 +8,17 @@ import json
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  from huggingface_hub import InferenceClient
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  import spaces
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- # Initialize the InferenceClient
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- client = InferenceClient(model="gpt-3.5-turbo")
 
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- @spaces.GPU(duration=120)
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- def ai_fix_json(json_data):
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  prompt = f"Fix the following JSON data and make it valid:\n\n{json_data}\n\nFixed JSON:"
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  try:
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  if torch.cuda.is_available():
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  response = client.text_generation(prompt, max_new_tokens=1024)
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  fixed_json = response[0]['generated_text'].split("Fixed JSON:")[-1].strip()
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- return fixed_json, "JSON fixed using AI on GPU."
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  else:
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  raise RuntimeError("GPU not available, falling back to CPU.")
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@@ -28,11 +27,11 @@ def ai_fix_json(json_data):
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  print(f"Falling back to CPU due to: {gpu_error}")
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  response = client.text_generation(prompt, max_new_tokens=1024)
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  fixed_json = response[0]['generated_text'].split("Fixed JSON:")[-1].strip()
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- return fixed_json, "JSON fixed using AI on CPU."
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- def process_file(uploaded_file):
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  json_data = uploaded_file # This is already the content of the file as a string
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- cleaned_json, message = ai_fix_json(json_data)
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  try:
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  parsed_data = json.loads(cleaned_json)
@@ -43,10 +42,11 @@ def process_file(uploaded_file):
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  iface = gr.Interface(
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  fn=process_file,
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- inputs=gr.File(label="Upload your JSON file"),
 
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  outputs=[gr.JSON(label="Fixed JSON"), "text", gr.File(label="Download cleaned JSON file")],
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- title="AI-Powered JSON Cleaner with GPU Support",
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- description="Upload a JSON file to automatically fix, remove duplicates, and download the cleaned version using AI with GPU/CPU fallback."
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  )
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  if __name__ == "__main__":
 
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  from huggingface_hub import InferenceClient
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  import spaces
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+ def ai_fix_json(model_id, json_data):
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+ # Initialize the InferenceClient with the chosen model
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+ client = InferenceClient(model=model_id)
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  prompt = f"Fix the following JSON data and make it valid:\n\n{json_data}\n\nFixed JSON:"
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  try:
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  if torch.cuda.is_available():
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  response = client.text_generation(prompt, max_new_tokens=1024)
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  fixed_json = response[0]['generated_text'].split("Fixed JSON:")[-1].strip()
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+ return fixed_json, "JSON fixed using AI on GPU with model: " + model_id
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  else:
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  raise RuntimeError("GPU not available, falling back to CPU.")
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  print(f"Falling back to CPU due to: {gpu_error}")
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  response = client.text_generation(prompt, max_new_tokens=1024)
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  fixed_json = response[0]['generated_text'].split("Fixed JSON:")[-1].strip()
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+ return fixed_json, "JSON fixed using AI on CPU with model: " + model_id
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+ def process_file(model_id, uploaded_file):
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  json_data = uploaded_file # This is already the content of the file as a string
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+ cleaned_json, message = ai_fix_json(model_id, json_data)
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  try:
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  parsed_data = json.loads(cleaned_json)
 
42
 
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  iface = gr.Interface(
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  fn=process_file,
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+ inputs=[gr.Textbox(label="Model ID (e.g., gpt-3.5-turbo)", default="gpt-3.5-turbo"),
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+ gr.File(label="Upload your JSON file")],
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  outputs=[gr.JSON(label="Fixed JSON"), "text", gr.File(label="Download cleaned JSON file")],
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+ title="AI-Powered JSON Cleaner with Model Selection",
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+ description="Upload a JSON file to automatically fix, remove duplicates, and download the cleaned version using AI with GPU/CPU fallback. Select any model from the Hugging Face Hub."
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  )
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  if __name__ == "__main__":