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048465c
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1 Parent(s): ba6eef8

Update app.py

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  1. app.py +25 -54
app.py CHANGED
@@ -1,64 +1,35 @@
 
 
 
1
  import gradio as gr
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- from huggingface_hub import InferenceClient
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- """
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- For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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- """
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- client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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- def respond(
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- message,
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- history: list[tuple[str, str]],
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- system_message,
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- max_tokens,
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- temperature,
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- top_p,
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- ):
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- messages = [{"role": "system", "content": system_message}]
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- for val in history:
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- if val[0]:
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- messages.append({"role": "user", "content": val[0]})
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- if val[1]:
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- messages.append({"role": "assistant", "content": val[1]})
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-
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- messages.append({"role": "user", "content": message})
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-
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- response = ""
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-
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- for message in client.chat_completion(
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- messages,
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- max_tokens=max_tokens,
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- stream=True,
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- temperature=temperature,
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- top_p=top_p,
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- ):
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- token = message.choices[0].delta.content
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- response += token
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- yield response
 
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- """
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- For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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- """
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- demo = gr.ChatInterface(
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- respond,
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- additional_inputs=[
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- gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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- gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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- gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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- gr.Slider(
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- minimum=0.1,
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- maximum=1.0,
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- value=0.95,
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- step=0.05,
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- label="Top-p (nucleus sampling)",
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- ),
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- ],
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  )
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-
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- if __name__ == "__main__":
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- demo.launch()
 
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+ from dotenv import load_dotenv
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+ from langchain_ollama import ChatOllama
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+ from langchain_core.prompts import ChatPromptTemplate
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  import gradio as gr
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+ import os
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+ load_dotenv()
 
 
 
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+ OLLAMA_BASE_URL = os.getenv("OLLAMA_BASE_URL")
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+ llm = ChatOllama(model="llama3", base_url = OLLAMA_BASE_URL, temperature=0.5)
 
 
 
 
 
 
 
 
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+ #prompt = ChatPromptTemplate.from_template("Tell me a joke about a {subject}")
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+ prompt = ChatPromptTemplate.from_messages(
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+ [
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+ ("system","Generate a list of synonyms for the following word, only give 5 words and no extra messages."),
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+ ("human","{input}")
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+ ]
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+ )
 
 
 
 
 
 
 
 
 
 
 
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+ def synonyms(text):
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+ response = chain.invoke({"input":text})
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+ return response.content
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+ chain = prompt | llm
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+ demo = gr.Interface(
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+ fn = synonyms,
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+ inputs = ["text"],
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+ outputs = ["text"],
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+ title = "Synonym Generator",
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+ description = "Generate a list of synonyms for the following word, only give 5 words with examples i.e use word in the sentences."
 
 
 
 
 
 
 
 
 
 
 
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  )
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+ demo.launch()