burak commited on
Commit
b6fc291
1 Parent(s): db4411a

Update app.py

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  1. app.py +77 -23
app.py CHANGED
@@ -1,30 +1,84 @@
 
 
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  import gradio as gr
 
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  import openai
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- def Question(OpenAI_Key, Ask_Question):
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- # pass the generated text to audio
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- openai.api_key = OpenAI_Key
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- # Set up the model and prompt
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- model_engine = "text-davinci-003"
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- #prompt = "who is alon musk?"
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- # Generate a response
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- completion = openai.Completion.create(
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- engine=model_engine,
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- prompt=(f"{Ask_Question}"),
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- max_tokens=1024,
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- n=1,
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- stop=None,
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- temperature=0.5,)
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- response = completion.choices[0].text
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- #out_result=resp['message']
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- return response
 
 
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- demo = gr.Interface(
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- title='OpenAI ChatGPT Application',
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- fn=Question,
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- inputs=["text", "text"],
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- outputs="text",)
 
 
 
 
 
 
 
 
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- demo.launch()
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Benim hesap
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+
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  import gradio as gr
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+ import pinecone
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  import openai
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+ index_name = 'gpt-4-langchain-docs'
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+
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+ # initialize connection to pinecone
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+ pinecone.init(
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+ api_key="08dc4515-1799-4a23-81a0-b9f86975f84f", # app.pinecone.io (console)
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+ environment="us-west4-gcp" # next to API key in console
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+ )
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+
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+ # check if index already exists (it shouldn't if this is first time)
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+ if index_name not in pinecone.list_indexes():
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+ # if does not exist, create index
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+ pinecone.create_index(
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+ index_name,
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+ dimension=len(res['data'][0]['embedding']),
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+ metric='dotproduct'
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+ )
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+ # connect to index
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+ index = pinecone.GRPCIndex(index_name)
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+
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+ def ask(OpenAI_key,query):
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+
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+
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+ openai.api_key = OpenAI_key #platform.openai.com
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+
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+ embed_model = "text-embedding-ada-002"
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+
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+ res = openai.Embedding.create(
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+ input=[
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+ "Sample document text goes here",
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+ "there will be several phrases in each batch"
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+ ], engine=embed_model
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+ )
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+
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+ index_name = 'gpt-4-langchain-docs'
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+
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+
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+
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+
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+ res = openai.Embedding.create(
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+ input=[query],
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+ engine=embed_model
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+ )
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+
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+ # retrieve from Pinecone
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+ xq = res['data'][0]['embedding']
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+
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+ # get relevant contexts (including the questions)
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+ res = index.query(xq, top_k=5, include_metadata=True)
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+
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+ contexts = [item['metadata']['text'] for item in res['matches']]
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+ augmented_query = "\n\n---\n\n".join(contexts)+"\n\n-----\n\n"+query
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+
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+ primer = f"""You are Q&A bot. A highly intelligent system that answers
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+ user questions based on the information provided by the user above
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+ each question. If the information can not be found in the information
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+ provided by the user you truthfully say "I don't know".
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+ """
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+
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+ res = openai.ChatCompletion.create(
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+ model="gpt-3.5-turbo",
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+ messages=[
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+ {"role": "system", "content": primer},
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+ {"role": "user", "content": augmented_query}
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+ ]
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+ )
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+ from IPython.display import Markdown
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+
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+ response = (res['choices'][0]['message']['content'])
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+
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+
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+ return response
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+
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+ demo = gr.Interface(title = 'ShipsGo AI Assistant' , fn=ask, inputs=["text","text"] , outputs="text")
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+ demo.launch()