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Update app.py
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app.py
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@@ -5,10 +5,8 @@ from smolagents import HfApiModel
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model = HfApiModel(model_id="mistralai/Mixtral-8x7B-Instruct-v0.1", token=os.environ.get("HF_TOKEN"))
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data = [
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{
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"role":"system",
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"content":[
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{
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@@ -16,7 +14,11 @@ def chat(prompt, history):
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"text": "You are a doctor who specializes on helping patients with addiction issues"
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}
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]
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}
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{
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"role":"user",
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"content":[
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@@ -27,8 +29,24 @@ def chat(prompt, history):
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]
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}
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]
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return model(
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demo = gr.ChatInterface(chat, title="ArunGPT",theme = gr.themes.Soft(), description="Hello this is chatbot is created for only educational purpose and is powered by mistral 8x 7b model").queue()
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model = HfApiModel(model_id="mistralai/Mixtral-8x7B-Instruct-v0.1", token=os.environ.get("HF_TOKEN"))
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system_data = [
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{
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"role":"system",
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"content":[
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{
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"text": "You are a doctor who specializes on helping patients with addiction issues"
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}
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]
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}
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]
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def get_user_data(prompt: str):
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return [
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{
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"role":"user",
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"content":[
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]
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}
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]
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def get_history(history):
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mod_history = []
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for i in history:
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d = {}
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d["role"] = i["role"]
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d["content"] = [
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{
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"type": "text",
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"text": i["content"]
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}
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]
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mod_history.append(d)
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return mod_history
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def chat(prompt, history):
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return model(system_data + get_history(history)+ get_user_data(prompt)).content
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demo = gr.ChatInterface(chat, title="ArunGPT",theme = gr.themes.Soft(), description="Hello this is chatbot is created for only educational purpose and is powered by mistral 8x 7b model").queue()
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