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Runtime error
Runtime error
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57817e9
1
Parent(s):
b91d77f
Update run.py
Browse files
run.py
CHANGED
@@ -2,20 +2,36 @@ import gradio as gr
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import requests
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import random
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import json
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def response(message, history,
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url="https://afischer1985-OpenHermes-2-GGUF-API.hf.space/v1/completions"
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if(prompt_type=="Alpaca"):
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body={"prompt":"###Frage: "+message+" ###Antwort:","max_tokens":1000,"stop":"###","stream":True}
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if(prompt_type!="Alpaca"):
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body={"prompt":"""<|im_start|>system
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Du bist
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<|im_start|>user
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"""+message+"""<|im_end|>
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<|im_start|>assistant
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""","max_tokens":1000,"stop":"<|im_end|>","stream":True}
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response=""
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buffer=""
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print("User: "+message+"\nAI: ")
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for text in requests.post(url, json=body, stream=True):
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#print("*** Raw String: "+str(text)+"\n***\n")
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@@ -39,4 +55,4 @@ Du bist OpenHermes2 ein deutschsprachiger KI-basierter Assistent.<|im_end|>
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pass
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yield response
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gr.ChatInterface(response,additional_inputs=[gr.Dropdown(["
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import requests
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import random
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import json
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def response(message, history, model):
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url="https://afischer1985-OpenHermes-2-GGUF-API.hf.space/v1/completions"
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prompt_type="ChatML"
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endstr="<|im_end|>"
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print(model)
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if(model=="WizardLM-13B"):
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url="https://wizardlm-13b-v1-2-q4-0-gguf.hf.space/v1/completions"
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prompt_type="Alpaca"
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if(model=="SauerkrautLM-7B"):
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url="https://SauerkrautLM-GGUF-API.hf.space/v1/completions"
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prompt_type="Alpaca"
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if(model=="OpenHermes2-7B"):
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url="https://AFischer1985-CollectiveCognition-GGUF-API.hf.space/v1/completions"
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prompt_type="ChatML"
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if(model=="CollectiveCognition-7B"):
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url="https://AFischer1985-CollectiveCognition-GGUF-API.hf.space/v1/completions"
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prompt_type="ChatML"
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print(prompt_type)
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if(prompt_type=="Alpaca"):
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body={"prompt":"###Frage: "+message+" ###Antwort:","max_tokens":1000,"stop":"###","stream":True}
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if(prompt_type!="Alpaca"):
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body={"prompt":"""<|im_start|>system
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Du bist ein deutschsprachiger KI-basierter Assistent.<|im_end|>
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<|im_start|>user
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"""+message+"""<|im_end|>
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<|im_start|>assistant
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""","max_tokens":1000,"stop":"<|im_end|>","stream":True}
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response=""
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buffer=""
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print(str(body))
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print("User: "+message+"\nAI: ")
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for text in requests.post(url, json=body, stream=True):
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#print("*** Raw String: "+str(text)+"\n***\n")
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pass
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yield response
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gr.ChatInterface(response,additional_inputs=[gr.Dropdown(["CollectiveCognition-7B", "OpenHermes2-7B"],value="OpenHermes2-7B",label="Model")]).queue().launch(share=True)
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