ok

app.py

@@ -22,13 +22,10 @@ model_kwargs = {'device': 'cpu'}
 
 embeddings = HuggingFaceEmbeddings(model_kwargs=model_kwargs)
 
-#tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2")
-#model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2", device_map='auto', quantization_config=quantization_config)
-tokenizer = AutoTokenizer.from_pretrained("cmarkea/bloomz-560m-sft-chat")
-model = AutoModelForCausalLM.from_pretrained("ccmarkea/bloomz-560m-sft-chat", device_map='auto', quantization_config=quantization_config)
+tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2")
+model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2", device_map='auto', quantization_config=quantization_config)
 
-
-pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=150,)
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=150)
 llm = HuggingFacePipeline(pipeline=pipe)
 
 
@@ -85,14 +82,23 @@ def summarize_pdf (input_pdf_question, custom_prompt=""):
 #upload_file=gr.File(label="upload file", sources=['upload'],file_count="multiple")),
 #    input_pdf_name = gr.Dropdown(['testrag.pdf', 'testrag.pdf'], label="file"),
 
-gradio_app = gr.Interface(
+gradio_app1 = gr.Interface(
         fn = summarize_pdf,
         inputs = gr.components.Textbox(label="Entrer la question",value="je dois repeindre un mur de 30 m2 avec de la peinture PEINTURE MATE a lille, quel est le prix final ?"),
         outputs = gr.components.Textbox(label=" "),
         title = "PDF question",
         description = "vous pouvez questionner un pdf.",
     )
-demo = gradio_app.TabbedInterface([gradio_app, gradio_app], ["app1", "app2"])
+
+gradio_app2 = gr.Interface(
+        fn = summarize_pdf,
+        inputs = gr.components.Textbox(label="Entrer la question",value="quel est le prix le moins cher pour une COUCHE ANTI-MOISISSURE"),
+        outputs = gr.components.Textbox(label=" "),
+        title = "PDF question",
+        description = "vous pouvez questionner un pdf.",
+    )
+
+demo = gr.TabbedInterface([gradio_app1, gradio_app2], ["app1", "app2"])
 
 
 if __name__ == "__main__":