Add application file

app.py

@@ -0,0 +1,55 @@
+import gradio as gr
+import os 
+from utils import generate_response, emb2info, pre_prompt, get_embedding
+os.environ['NO_PROXY'] = '127.0.0.1'
+print(os.getcwd())
+
+def predict(user_input, history=[]):
+    # tokenize the new input sentence
+    emb_user = get_embedding(user_input)
+    info_to_add, retrieval_text = emb2info(emb_user)
+
+    response = generate_response(pre_prompt + info_to_add + \
+                                 "\n \n User : " + user_input + "\n Chat bot :")
+    
+    
+    history.append((user_input,response))
+    #response = [(user_input,response)]
+    return history, history
+
+
+with gr.Blocks() as app:
+    gr.Markdown(
+    "## Bienvenue sur l'interface demo de SARA "
+    )
+
+    logo_URL = "file/static/logo_sara.png"
+    image = "<center> <img src= {} width=150px></center>".format(logo_URL)
+
+    gr.HTML(image)
+
+    chatbot = gr.Chatbot()
+    state = gr.State([])
+    
+    with gr.Row():
+        txt = gr.Textbox(show_label=False, placeholder="Entrez votre question").style(container=False)
+
+    gr.Examples(
+        examples=[
+            "Who should I call if I struggle with the GPU ? ",
+            "Who can I call if I need help on diffusion models ? ",
+            "Qui peut m'aider en NLP ?",
+            "Qui est un specialiste de la segmentation d'image dans l'equipe ?",
+        ],
+        inputs=txt,
+    )
+
+    txt.submit(predict, [txt, state], [chatbot, state])
+
+    
+    
+    gr.HTML(
+        "️<center> Created with ❤️ by @louis_ulmer & @aurelien_lac"
+    )
+
+app.launch(share=True, auth=("admin", "pass"))