fix model names
Browse files
app.py
CHANGED
@@ -7,8 +7,9 @@ from utils import SocialGraphManager, SuggestionGenerator
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# Define available models
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AVAILABLE_MODELS = {
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"google/gemma-3-1b-it": "Gemma 3 1B-IT (Small, instruction-tuned)",
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"google/gemma-3-
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"google/gemma-3-
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"Qwen/Qwen1.5-0.5B": "Qwen 1.5 0.5B (Very small, efficient)",
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"Qwen/Qwen1.5-1.8B": "Qwen 1.5 1.8B (Small, good quality)",
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"TinyLlama/TinyLlama-1.1B-Chat-v1.0": "TinyLlama 1.1B (Small, chat-tuned)",
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@@ -21,8 +22,8 @@ AVAILABLE_MODELS = {
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# Initialize the social graph manager
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social_graph = SocialGraphManager("social_graph.json")
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# Initialize the suggestion generator with Gemma 3
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suggestion_generator = SuggestionGenerator("google/gemma-3-
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# Test the model to make sure it's working
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test_result = suggestion_generator.test_model()
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@@ -152,7 +153,7 @@ def generate_suggestions(
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user_input,
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suggestion_type,
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selected_topic=None,
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model_name="google/gemma-3-
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temperature=0.7,
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mood=3,
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progress=gr.Progress(),
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@@ -461,7 +462,7 @@ with gr.Blocks(title="Will's AAC Communication Aid", css="custom.css") as demo:
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with gr.Row():
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model_dropdown = gr.Dropdown(
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choices=list(AVAILABLE_MODELS.keys()),
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value="google/gemma-3-
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label="Language Model",
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info="Select which AI model to use for generating responses",
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)
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# Define available models
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AVAILABLE_MODELS = {
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"google/gemma-3-1b-it": "Gemma 3 1B-IT (Small, instruction-tuned)",
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"google/gemma-3-4b-it": "Gemma 3 4B-IT (Default, instruction-tuned)",
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"google/gemma-3-12b-it": "Gemma 3 12B-IT (Better quality, instruction-tuned)",
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"google/gemma-3-27b-it": "Gemma 3 27B-IT (Best quality, instruction-tuned)",
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"Qwen/Qwen1.5-0.5B": "Qwen 1.5 0.5B (Very small, efficient)",
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"Qwen/Qwen1.5-1.8B": "Qwen 1.5 1.8B (Small, good quality)",
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"TinyLlama/TinyLlama-1.1B-Chat-v1.0": "TinyLlama 1.1B (Small, chat-tuned)",
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# Initialize the social graph manager
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social_graph = SocialGraphManager("social_graph.json")
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# Initialize the suggestion generator with Gemma 3 4B (default)
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suggestion_generator = SuggestionGenerator("google/gemma-3-4b-it")
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# Test the model to make sure it's working
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test_result = suggestion_generator.test_model()
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user_input,
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suggestion_type,
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selected_topic=None,
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model_name="google/gemma-3-4b-it",
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temperature=0.7,
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mood=3,
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progress=gr.Progress(),
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with gr.Row():
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model_dropdown = gr.Dropdown(
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choices=list(AVAILABLE_MODELS.keys()),
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value="google/gemma-3-4b-it",
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label="Language Model",
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info="Select which AI model to use for generating responses",
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)
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