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Update app.py
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app.py
CHANGED
@@ -1,14 +1,10 @@
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import os
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import gradio as gr
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# Set up the API key and
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DEEPSEEK_API_KEY = os.getenv("Deepseek_API_Key")
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# Initialize the Deepseek Inference client
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client = InferenceClient(model=DEEPSEEK_MODEL, token=DEEPSEEK_API_KEY)
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def generate_game(auditory_memory, selective_attention, dichotic_listening, phonemic_awareness, temporal_processing, language_comprehension):
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# Craft the prompt for the model
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@@ -40,16 +36,25 @@ Be concise and limit your response to 512 tokens or less."""
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try:
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# Call the Deepseek API
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{"role": "system", "content": "You are a helpful and knowledgeable learning disabilities expert with knowledge of Central Auditory Processing Disorder (CAPD)."},
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{"role": "user", "content": prompt},
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],
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max_tokens
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temperature
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# Extract the response text
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game_advice =
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except Exception as e:
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game_advice = f"An error occurred: {str(e)}"
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@@ -92,9 +97,9 @@ CAPD_Game_app = gr.Interface(
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lines=2,
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],
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outputs=gr.Textbox(label="Recommended Games"),
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title="CAPD
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description="This
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)
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import os
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import gradio as gr
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import requests
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# Set up the API key and endpoint for Deepseek
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DEEPSEEK_API_KEY = os.getenv("Deepseek_API_Key")
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DEEPSEEK_API_URL = "https://api.deepseek.com/v1/chat/completions" # Replace with the actual Deepseek API endpoint
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def generate_game(auditory_memory, selective_attention, dichotic_listening, phonemic_awareness, temporal_processing, language_comprehension):
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# Craft the prompt for the model
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try:
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# Call the Deepseek API
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headers = {
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"Authorization": f"Bearer {DEEPSEEK_API_KEY}",
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"Content-Type": "application/json",
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}
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data = {
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"model": "deepseek-chat", # Replace with the correct model name if needed
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"messages": [
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{"role": "system", "content": "You are a helpful and knowledgeable learning disabilities expert with knowledge of Central Auditory Processing Disorder (CAPD)."},
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{"role": "user", "content": prompt},
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],
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"max_tokens": 512,
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"temperature": 0.7,
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}
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response = requests.post(DEEPSEEK_API_URL, headers=headers, json=data)
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response.raise_for_status() # Raise an error for bad status codes
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result = response.json()
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# Extract the response text
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game_advice = result["choices"][0]["message"]["content"].strip()
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except Exception as e:
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game_advice = f"An error occurred: {str(e)}"
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lines=2,
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),
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],
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outputs=gr.Textbox(label="Recommended Games", lines=25),
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title="CAPD Game Recommender on BrainAPT.com",
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description="This app provides general advice regarding CAPD Games. For best results, visit your audiologist or doctor for proper diagnosis and treatment. Disclaimer: AI can make mistakes. Use with caution and at your own risk!",
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)
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