Update app.py

app.py

@@ -192,22 +192,9 @@ with demo:
 
     gr.Markdown(
         """
-<p align="center">
-    <img width=200 src="https://user-images.githubusercontent.com/5758427/197816413-d9cddad3-ba38-4793-847d-120975e1da11.png">
-</p>
-<h2 align="center">Sentiment Analysis On Encrypted Data Using Homomorphic Encryption</h2>
-<p align="center">
-    <a href="https://github.com/zama-ai/concrete-ml"> <img style="vertical-align: middle; display:inline-block; margin-right: 3px;" width=15 src="https://user-images.githubusercontent.com/5758427/197972109-faaaff3e-10e2-4ab6-80f5-7531f7cfb08f.png">Concrete-ML</a>
-    —
-    <a href="https://docs.zama.ai/concrete-ml"> <img style="vertical-align: middle; display:inline-block; margin-right: 3px;" width=15 src="https://user-images.githubusercontent.com/5758427/197976802-fddd34c5-f59a-48d0-9bff-7ad1b00cb1fb.png">Documentation</a>
-    —
-    <a href="https://zama.ai/community"> <img style="vertical-align: middle; display:inline-block; margin-right: 3px;" width=15 src="https://user-images.githubusercontent.com/5758427/197977153-8c9c01a7-451a-4993-8e10-5a6ed5343d02.png">Community</a>
-    —
-    <a href="https://twitter.com/zama_fhe"> <img style="vertical-align: middle; display:inline-block; margin-right: 3px;" width=15 src="https://user-images.githubusercontent.com/5758427/197975044-bab9d199-e120-433b-b3be-abd73b211a54.png">@zama_fhe</a>
-</p>
-<p align="center">
-  <img src="https://user-images.githubusercontent.com/56846628/219329304-6868be9e-5ce8-4279-9123-4cb1bc0c2fb5.png" width="60%" height="60%">
-</p>
+
+<h2 align="center">Contract Analysis</h2>
+
 """
     )
 
@@ -251,29 +238,29 @@ with demo:
         visible=False
     )
 
-    gr.Markdown("# Step 2: Provide a message")
+    gr.Markdown("# Step 2: Provide a contract or clause")
     gr.Markdown("## Client side")
     gr.Markdown(
-        "Enter a sensitive text message you received and would like to do sentiment analysis on (ideas: the last text message of your boss.... or lover)."
+        "Enter a contract or clause you want to analysis)."
     )
-    text = gr.Textbox(label="Enter a message:", value="I really like your work recently")
+    text = gr.Textbox(label="Enter some words:", value="The Employee is entitled to two weeks of paid vacation annually, to be scheduled at the mutual convenience of the Employee and Employer.")
 
     gr.Markdown("# Step 3: Encode the message with the private key")
     b_encode_quantize_text = gr.Button(
-        "Encode, quantize and encrypt the text with transformer vectorizer, and send to server"
+        "Encode, quantize and encrypt the text with vectorizer, and send to server"
     )
 
     with gr.Row():
         encoding = gr.Textbox(
-            label="Transformer representation:",
+            label="Representation:",
             max_lines=4,
             interactive=False,
         )
         quantized_encoding = gr.Textbox(
-            label="Quantized transformer representation:", max_lines=4, interactive=False
+            label="Quantized  representation:", max_lines=4, interactive=False
         )
         encrypted_quantized_encoding = gr.Textbox(
-            label="Encrypted quantized transformer representation (truncated):",
+            label="Encrypted quantized representation (truncated):",
             max_lines=4,
             interactive=False,
         )
@@ -291,14 +278,14 @@ with demo:
         interactive=False,
     )
 
-    gr.Markdown("# Step 5: Decrypt the sentiment")
+    gr.Markdown("# Step 5: Decrypt the class")
     gr.Markdown("## Client side")
     gr.Markdown(
         "The encrypted sentiment is sent back to client, who can finally decrypt it with its private key. Only the client is aware of the original tweet and the prediction."
     )
     b_decrypt_prediction = gr.Button("Decrypt prediction")
 
-    labels_sentiment = gr.Label(label="Sentiment:")
+    labels_sentiment = gr.Label(label="level:")
 
     # Button for key generation
     b_gen_key_and_install.click(keygen, inputs=[task_checkbox], outputs=[evaluation_key, user_id])