finish nlp

app.py

@@ -16,9 +16,10 @@ with st.sidebar:
         "Onyx AI",
         ["Acceuil", "Documentation"],
         icons=["play-btn", "info-circle"],
-        menu_icon="intersect",
+        menu_icon="rocket",
         default_index=0,
         styles={
+            "container": {"background-color": "transparent"},
             "icon": {"color": "#374151", "font-size": "17px"},
             "nav-link": {
                 "font-size": "17px",
@@ -53,14 +54,20 @@ if menu == "Acceuil":
         default_index=0,
         orientation="horizontal",
         styles={
-            "container": {"background-color": "#fafafa"},
+            "container": {
+                "background-color": "#fafafa",
+                "border-radius": "8px",
+                "background": "#fbfafa",
+            },
             "icon": {"color": "#374151", "font-size": "17px"},
             "nav-link": {
                 "font-size": "17px",
                 "text-align": "left",
                 "--hover-color": "#eee",
             },
-            "nav-link-selected": {"background-color": "#519ba7"},
+            "nav-link-selected": {
+                "background-color": "#519ba7",
+            },
         },
     )
 

modules/chatbot.py

@@ -16,7 +16,7 @@ def show():
     st.markdown(
         """
         <div class='content'>
-            <h1>Chatbot intelligent</h1>
+            <h2>Chatbot intelligent</h2>
         </div>
         <br/>
         <p>Bienvenue dans la section Chatbot intelligent.</p>
@@ -60,8 +60,15 @@ def show():
         # Affiche la requête de l'utilisateur.
         st.chat_message(USER).write(prompt)
         # Génère une réponse en utilisant le modèle de chatbot.
-        generate = model.generate_content(prompt)
-        response: str = generate.text
-        # Ajoute la réponse du chatbot à la liste des messages et l'affiche.
-        st.session_state[MESSAGES].append(Message(actor=ASSISTANT, payload=response))
-        st.chat_message(ASSISTANT).write(response)
+
+        try:
+            generate = model.generate_content(prompt)
+            response: str = generate.text
+            # Ajoute la réponse du chatbot à la liste des messages et l'affiche.
+            st.session_state[MESSAGES].append(
+                Message(actor=ASSISTANT, payload=response)
+            )
+            st.chat_message(ASSISTANT).write(response)
+
+        except Exception as e:
+            st.chat_message(ASSISTANT).text("Erreur bien vouloir recommancer")

modules/image_classification.py

@@ -1,9 +1,11 @@
+import base64
 from attr import dataclass
 from deep_translator import GoogleTranslator
 import pycountry
 import requests
 import streamlit as st
 from langdetect import detect
+from PIL import Image
 
 from .config import HUGGINGFACE_API_KEY
 
@@ -15,7 +17,7 @@ def show():
     st.markdown(
         """
                     <div class='content'>
-                        <h1>Zero shot image classification</h1>
+                        <h2>Zero shot image classification</h2>
                     </div>
                     <br/>
                     <p>Découvrez la classification d'images avec zerp shot.</p>
@@ -47,7 +49,9 @@ def show():
         st.session_state["default_label"] = "voiture,ananas,pastèque,tomate,bouteille"
 
     # Interface utilisateur pour l'entrée de l'image et du libellé
-    uploaded_image = st.file_uploader("Upload an image", type=["jpg", "png", "jpeg"])
+    uploaded_image = st.file_uploader(
+        "Upload an image", type=["jpg", "png", "jpeg"], accept_multiple_files=False
+    )
 
     st.markdown(
         "Veuillez entrer les labels séparés par des virgules (exemple : voiture,ananas,pastèque,tomate,bouteille):"
@@ -71,21 +75,22 @@ def show():
                 source="auto", target="en"
             ).translate(label)
 
-            labels = convert_label_to_english.split(
-                ","
-            )  # Splitting the input label string into a list
+            labels = convert_label_to_english.split(",")
 
             print(labels)
 
             parameters = {"candidate_labels": labels}
 
-            response = query(image_bytes, parameters)
+            try:
 
-            translated = GoogleTranslator(source="auto", target="fr").translate(
-                f"The highest score is {response[0]['score']:.3f} for the label {response[0]['label']}"
-            )
+                response = query(image_bytes, parameters)
+                translated = GoogleTranslator(source="auto", target="fr").translate(
+                    f"The highest score is {response[0]['score']:.3f} for the label {response[0]['label']}"
+                )
+                st.chat_message(ASSISTANT).text(translated)
 
-            st.chat_message(ASSISTANT).text(translated)
+            except Exception as e:
+                st.chat_message(ASSISTANT).text("Erreur bien vouloir recommancer")
 
         else:
             st.write("Please upload an image and enter a label.")

modules/image_to_text.py

@@ -15,7 +15,7 @@ def show():
     st.markdown(
         """
             <div class='content'>
-                <h1>Image to text</h1>
+                <h2>Image to text</h2>
             </div>
             <br/>
             <p>Convertissez des images en texte grâce à notre outil.</p>
@@ -36,7 +36,7 @@ def show():
 
     # Interface utilisateur pour l'entrée de l'image et du libellé
     uploaded_image_ImgTText = st.file_uploader(
-        "Upload an image", type=["jpg", "png", "jpeg"]
+        "Upload an image", type=["jpg", "png", "jpeg"], accept_multiple_files=False
     )
 
     # Bouton pour envoyer l'image et le libellé
@@ -49,20 +49,23 @@ def show():
 
             st.chat_message(ASSISTANT).text("Génération en cours...")
 
-            response = model_pro_vision.generate_content(
-                ["Write a short description of the image", image],
-                stream=True,
-            )
+            try:
 
-            response.resolve()
+                response = model_pro_vision.generate_content(
+                    ["Write a short description of the image", image],
+                    stream=True,
+                )
 
-            print(response.text)
+                response.resolve()
 
-            translated = GoogleTranslator(source="auto", target="fr").translate(
-                response.text
-            )
+                translated = GoogleTranslator(source="auto", target="fr").translate(
+                    response.text
+                )
 
-            st.chat_message(ASSISTANT).text(translated)
+                st.chat_message(ASSISTANT).text(translated)
+
+            except Exception as e:
+                st.chat_message(ASSISTANT).text("Erreur bien vouloir recommancer")
 
         else:
             st.write("Please upload an image and enter a label.")

modules/text_to_speech.py

@@ -16,7 +16,7 @@ def show():
     st.markdown(
         """
                 <div class='content'>
-                    <h1>Text to speech</h1>
+                    <h2>Text to speech</h2>
                 </div>
                 <br/>
                 <p>Bienvenue dans la section Text to speech en espagnol.</p>
@@ -68,8 +68,13 @@ def show():
             f"Langue détecté {lang_name} \n \n {translated} \n \n Génération de l'audio ..."
         )
 
-        parameters = {"inputs": translated}
+        try:
 
-        audio = query(parameters)
+            parameters = {"inputs": translated}
 
-        st.chat_message(ASSISTANT).audio(data=audio)
+            audio = query(parameters)
+
+            st.chat_message(ASSISTANT).audio(data=audio)
+
+        except Exception as e:
+            st.chat_message(ASSISTANT).text("Erreur bien vouloir recommancer")

utils/helpers.py

@@ -76,7 +76,20 @@ def show():
         ```
 
         ### Conversion d'Images en Texte
+        Utilise le modèle gemini-pro-vision de Google pour produire une description détaillé d'une image
 
+        ```python
+        
+        model = genai.GenerativeModel("gemini-pro-vision")
+
+        response = model.generate_content(image)
+
+        print(response.text)
+
+        ```
+
+        <br/>
+        <br/>
 
 
         """,

utils/styles.py

@@ -11,9 +11,58 @@ def apply_styles():
             background: #fbfafa;
             padding : 0 10px 0 20px
         }
+
+        .content h2{
+            text-transform : uppercase;
+            font-size : 25px;
+            font-weight : 700;
+            color: #519ba7
+        }
         .stChatMessage .markdown-text-container {
             word-wrap: break-word;
         }
+
+        [data-testid="stSidebarUserContent"] {
+            background-color: #f0f2f6; /* Couleur de fond de la barre latérale */
+            color: #333; /* Couleur du texte dans la barre latérale */
+            /* Autres styles CSS ici */
+        }
+
+        .menu .container-xxl[data-v-5af006b8] {
+            background-color: transparent;
+            border-radius: 30rem;
+        }
+
+       #MainMenu, header, footer{
+       visibility: hidden;
+       }
+
+
+        section[data-testid="stSidebar"] div:first-child {
+            top: 0;
+            height: 100vh;
+        }
+
+        .block-container {
+            padding-top: 2rem;
+            padding-bottom: 0rem;
+            padding-left: 5rem;
+            padding-right: 5rem;
+        }
+
+       
+        
+        /* Personnaliser l'arrière-plan de la zone de saisie de chat */
+        .stChatInput textarea {
+            background-color: #212121; /* Couleur de fond légère */
+        }
+
+        .stChatInput textarea::placeholder { color:white }
+
+
+        .stChatInput textarea:focus { border : 1px solid #519ba7; color:white }
+
+      
     </style> 
     """,
         unsafe_allow_html=True,