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Update app.py
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app.py
CHANGED
@@ -1,7 +1,6 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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# 使用可能なモデルのリスト
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# 使用可能なモデルのリスト
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models = ["Sakalti/Saba1.5-Pro", "Sakalti/Saba2-Preview", "Sakalti/Saba2.1-Preview"]
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@@ -14,6 +13,18 @@ def respond(
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top_p,
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selected_model
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):
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# 選択したモデルに基づいてInferenceClientを初期化
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client = InferenceClient(selected_model)
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@@ -61,4 +72,4 @@ demo = gr.ChatInterface(
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)
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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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from huggingface_hub import InferenceClient
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# 使用可能なモデルのリスト
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models = ["Sakalti/Saba1.5-Pro", "Sakalti/Saba2-Preview", "Sakalti/Saba2.1-Preview"]
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top_p,
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selected_model
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):
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# デバッグ用: 各入力値の型を出力
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print(f"Message: {message} (Type: {type(message)})")
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print(f"History: {history} (Type: {type(history)})")
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print(f"System Message: {system_message} (Type: {type(system_message)})")
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print(f"Max Tokens: {max_tokens} (Type: {type(max_tokens)})")
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print(f"Temperature: {temperature} (Type: {type(temperature)})")
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print(f"Top-p: {top_p} (Type: {type(top_p)})")
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print(f"Selected Model: {selected_model} (Type: {type(selected_model)})")
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# 型変換: selected_modelを文字列に変換
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selected_model = str(selected_model)
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# 選択したモデルに基づいてInferenceClientを初期化
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client = InferenceClient(selected_model)
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)
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if __name__ == "__main__":
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demo.launch()
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