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Update app.py
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app.py
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@@ -16,7 +16,7 @@ def client_fn(model):
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else:
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return InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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system_instructions1 = "[SYSTEM] Your task is to Answer the question. Keep conversation very short, clear and concise. The expectation is that you will avoid introductions and start answering the query directly, Only answer the question asked by user, Do not say unnecessary things.
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def models(text, model="Mixtral 8x7B"):
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@@ -38,9 +38,8 @@ def models(text, model="Mixtral 8x7B"):
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output = output[:-4]
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return output
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description="""
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### 5 Farklı Yapay Zeka Modeli ile Sohbet Edin."""
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demo = gr.Interface(description=description,fn=models, inputs=["text", gr.Dropdown([ 'Mixtral 8x7B','Nous Hermes Mixtral 8x7B DPO','StarChat2 15b','Mistral 7B v0.3','Phi 3 mini', ], value="Mistral 7B v0.3", label="Select Model") ], outputs="text", live=True, batch=True, max_batch_size=10000)
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demo.queue(max_size=300000)
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demo.launch()
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else:
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return InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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system_instructions1 = "[SYSTEM] Your task is to Answer the question. Keep conversation very short, clear and concise. The expectation is that you will avoid introductions and start answering the query directly, Only answer the question asked by user, Do not say unnecessary things.[QUESTION]"
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def models(text, model="Mixtral 8x7B"):
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output = output[:-4]
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return output
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description="""Ahil's fine-tuned model testing."""
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demo = gr.Interface(description=description,fn=models, inputs=["text", gr.Dropdown(['Bee' 'Mixtral 8x7B','Nous Hermes Mixtral 8x7B DPO','StarChat2 15b','Mistral 7B v0.3','Phi 3 mini', ], value="Mistral 7B v0.3", label="Select Model") ], outputs="text", live=True, batch=True, max_batch_size=10000)
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demo.queue(max_size=300000)
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demo.launch()
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