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Update app.py
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app.py
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@@ -18,8 +18,7 @@ if not os.path.exists(log_file):
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# Model information
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MODEL_ID = "Solus-PG/gemma-2b-gaslighting" # Replace with your actual model path
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# Load the model and tokenizer
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@gr.on_load(api_name="load_model")
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def load_model():
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print("Loading model...")
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try:
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@@ -33,14 +32,21 @@ def load_model():
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return model, tokenizer
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except Exception as e:
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print(f"Error loading model: {e}")
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# Generate response function
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def generate_response(prompt, model_state):
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try:
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# Format as chat for the model
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@@ -85,6 +91,9 @@ with gr.Blocks(css="footer {visibility: hidden}") as demo:
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**Note: The responses from this model should not be taken as truth.**
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""")
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with gr.Row():
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with gr.Column():
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input_text = gr.Textbox(
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@@ -101,11 +110,6 @@ with gr.Blocks(css="footer {visibility: hidden}") as demo:
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label="AI Response"
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)
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model_state = gr.State()
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# Load model when the app starts
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demo.load(load_model, outputs=model_state)
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# Handle submission
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submit_btn.click(
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fn=generate_response,
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# Model information
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MODEL_ID = "Solus-PG/gemma-2b-gaslighting" # Replace with your actual model path
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# Load the model and tokenizer
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def load_model():
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print("Loading model...")
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try:
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return model, tokenizer
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except Exception as e:
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print(f"Error loading model: {e}")
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return None, None
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# Generate response function
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def generate_response(prompt, model_state=None):
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# If model state isn't passed, try loading the model
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if model_state is None or model_state == [None, None]:
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try:
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model, tokenizer = load_model()
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except Exception:
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return "Failed to load the model. Please check logs or try again later."
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else:
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model, tokenizer = model_state
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if model is None or tokenizer is None:
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return "Model couldn't be loaded. Please check logs or try again later."
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try:
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# Format as chat for the model
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**Note: The responses from this model should not be taken as truth.**
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""")
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# Load model at startup and store in session state
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model_state = gr.State(value=load_model())
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with gr.Row():
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with gr.Column():
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input_text = gr.Textbox(
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label="AI Response"
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)
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# Handle submission
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submit_btn.click(
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fn=generate_response,
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