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app.py
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import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Load a medical AI model
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MODEL_NAME = "TheBloke/medalpaca-7B-GGUF"
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tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
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model = AutoModelForCausalLM.from_pretrained(MODEL_NAME)
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def diagnose(symptoms):
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prompt = f"I have the following symptoms: {symptoms}. What could it be?"
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inputs = tokenizer(prompt, return_tensors="pt")
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output = model.generate(**inputs, max_length=200)
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return tokenizer.decode(output[0])
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# Create a simple web app
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interface = gr.Interface(
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fn=diagnose,
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inputs="text",
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outputs="text",
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title="AI Symptom Checker",
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description="Enter your symptoms, and the AI will suggest possible conditions."
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)
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# Launch the app
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interface.launch()
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