py/api.py

@@ -1,9 +1,9 @@
 import requests
 import json
 from gradio_client import Client
-import os
 from mistralai import Mistral
 
+
 class API:
     @staticmethod
     def process_text_mistralai(prompt, model, system):
@@ -27,6 +27,7 @@ class API:
             ]
         )
         return chat_response.choices[0].message.content
+
     @staticmethod
     def process_text_gradio(prompt, model, system):
         client = Client(model)
@@ -38,7 +39,7 @@ class API:
             top_p=0.95,
             api_name="/chat"
         )
-        return result;
+        return result
 
     # This method processes a message via ollama
     @staticmethod

py/install.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
 
-python3 -m venv venv
+python -m venv venv
 source venv/bin/activate
 pip install flask
 pip install SpeechRecognition
@@ -15,3 +15,5 @@ pip install mistralai
 ollama pull phi3.5
 ollama pull codegemma:2b
 ollama pull gemma2:9b
+
+python web_flask.py

py/static/styles.css

@@ -280,6 +280,7 @@ header a:hover {
     color: white;
     border: none;
     padding: 0;
+    margin: 5px;
     cursor: pointer;
     transition: transform 0.2s ease-in-out;
 }
@@ -326,7 +327,8 @@ header a:hover {
 }
 
 .input button {
-    padding: 12px 20px;
+    padding:1em;
+    margin: 5px;
     background-color: var(--input-button-color);
     color: white;
     border: none;

py/web_flask.py

@@ -1,5 +1,3 @@
-#!venv/bin/python
-
 from flask import Flask, request, render_template
 from api import API
 from voice_recognition import Voice
@@ -40,12 +38,11 @@ def index():
 
         system += "The chat log is now finished."
 
-        ai_response = "AI: " + api.send_message(user_message, 5, system)
+        ai_response = "AI: " + api.send_message(user_message, 4, system)
         messages.append(ai_response)
 
     return render_template('index.html', messages=messages)
 
-
 @APP.route('/faq')
 def faq():
     return render_template('faq.html')