app.py

import gradio as gr
from huggingface_hub import InferenceClient
from djezzy import load_data,mot_cle,pip,vector_db

 
"""
For more  information on f `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
"""
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
tableau_de_mots=mot_cle("mots_clés.txt")
mots_a_verifier = tableau_de_mots
docs_text, docs_embeddings = load_data()

def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
):
    messages = [{"role": "system", "content": system_message}]

    for val in history:
        if val[0]:
            messages.append({"role": "user", "content": val[0]})
        if val[1]:
            messages.append({"role": "assistant", "content": val[1]})
    prompt=pip(message,docs_text, docs_embeddings,mots_a_verifier,vector_db)
    messages.append({"role": "user", "content": prompt})

    response = ""
    
    

    for message in client.chat_completion(
        messages,
        max_tokens=max_tokens,
        stream=True,
        temperature=temperature,
        top_p=top_p,
    ):
        token = message.choices[0].delta.content

        response += token
        yield response
        
repo=respond
print(repo)
"""
For information on how to customize the ChatInterface, EB455F peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""

#question={"role": "user", "content": message} 
#prompt=pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db)
#print(prompt)
custom_css = """
.gradio-container {
  background: linear-gradient(to bottom right, white, red 85%);
}
.gradio-title { 
  color: #EF4040;  
}

"""
logo_path = "djezzy-logo-A1B6F6E26F-seeklogo.com.png" 
demo = gr.ChatInterface(
    respond,
    title="Djezzy Bot",
    css=custom_css,
    textbox=gr.Textbox(placeholder="What would you like to know about Dezzy?", container=False, scale=7),
    additional_inputs=[
     
        gr.Textbox(value="You are a friendly Chatbot.",placeholder="What would you like to know about Djezzy "),
        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
        gr.Slider(
            minimum=0.1,
            maximum=1.0,
            value=0.95,
            step=0.05,
            label="Top-p (nucleus sampling)",
        ),
    ],
    

)


if __name__ == "__main__":
        demo.launch(share=True)