ok

app.py

@@ -6,28 +6,37 @@ import gradio as gr
 from gradio_pdf import PDF
 import os
 
-hfkey = os.getenv("HFKEY")
+
 api_key = 'Of59Qz8Enr4fVj11XoKLRkNHENULLpLt'
+my_list=['open-mistral-7b', 'open-mixtral-8x7b', 'mistral-small-latest','mistral-medium-latest','mistral-large-latest']
+mdel= my_list[3]
 
-llm = MistralAI(api_key=api_key, model="mistral-medium-latest")
+llm = MistralAI(api_key=api_key, model=mdel)
 embed_model = MistralAIEmbedding(model_name='mistral-embed', api_key=api_key)
 
 Settings.llm = llm
 Settings.embed_model = embed_model
 
-def qa(question: str, doc: str) -> str:
+def qa(model: str, question: str, doc: str, mdel: str) -> str:
+    if mdel != model:
+      mdel= model
+      llm = MistralAI(api_key=api_key, model=mdel)
+
     my_pdf = SimpleDirectoryReader(input_files=[doc]).load_data()
     my_pdf_index = VectorStoreIndex.from_documents(my_pdf)
     my_pdf_engine = my_pdf_index.as_query_engine()
     question = "repond en francais, " + question
     response = my_pdf_engine.query(question)
+    #response = question + " " + str(response)
     return response
 
 demo = gr.Interface(
     qa,
-    [gr.Textbox(label="Question"), PDF(label="Document")],
+    [ gr.Dropdown(choices=my_list, label="model",value=mdel),
+    gr.Textbox(label="Question"), PDF(label="Document")],
     gr.Textbox())
 
+
 if __name__ == "__main__":
     demo.launch(auth=("username", "password"))