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Update app.py
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app.py
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from transformers import pipeline,
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# Load a lightweight model for structured output
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model_name = "google/flan-t5-small" # You can replace this with another small instruct model
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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generator = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
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def generate_json():
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data = request.json
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prompt = data.get("prompt")
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if not prompt:
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return jsonify({"error": "Prompt is required"}), 400
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# Add instruction if needed
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instruction = f"Generate a JSON object from the following description:\n{prompt}"
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generated_text = response[0]["generated_text"]
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try:
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#
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return jsonify({"json": generated_json})
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except Exception as e:
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import gradio as gr
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from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
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import json
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# Load lightweight model
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model_name = "google/flan-t5-small" # You can change this to another small instruct model
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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generator = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
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def generate_json(prompt):
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instruction = f"Generate a JSON object from the following description:\n{prompt}"
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result = generator(instruction, max_length=256, do_sample=False)
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generated_text = result[0]["generated_text"]
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try:
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parsed = eval(generated_text) # Not recommended in production; use json.loads if output is valid JSON
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formatted_json = json.dumps(parsed, indent=2)
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except Exception as e:
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formatted_json = f"Raw Output:\n{generated_text}\n\nError parsing JSON: {e}"
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return formatted_json
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gr.Interface(
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fn=generate_json,
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inputs=gr.Textbox(lines=4, label="Enter Prompt"),
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outputs=gr.Textbox(lines=20, label="Generated JSON"),
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title="Lightweight JSON Generator",
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description="Enter a prompt describing the structure or content you want in JSON format."
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).launch()
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