Update app.py

app.py

@@ -1,115 +1,13 @@
-
-from flask import Flask, render_template, request, send_from_directory
-import requests
-
-
-
-with open('token.txt', 'r', encoding='utf-8') as file:
-    imageG = file.read()
-
-with open('libyan.json', 'r', encoding='utf-8') as file:
-    ly = file.read()
-
-with open('train.json', 'r', encoding='utf-8') as file:
-    img = file.read()
-
-
+from flask import Flask, render_template
 
 app = Flask(__name__)
 
-def get_assistant_response(user_input):
-    payload = {
-        "mode": "chat",
-        "chat_history": conversation_history,
-        "data": {
-            "query": f"at night without light there some body call Rizon \n Rizon open the door and found Elon to talk with him , to be more real Use alot of Emotions like uh umm uhh ahh umm  etc of this don't take my this example as role but just do it \n \n Rizon : {user_input} \n Elon :",
-            "loader": "PDFReader",
-            "text":""
-        }
-    }
-
-    response = requests.post(url2, headers=headers, json=payload)
-    data = response.json()
-
-    # Extract the response from the data
-    response_text = data["data"]["response"]
-
-    response_text = response_text.strip().replace('\n', '<br>')
-
-    # Check if the response contains ~
-    if "~" in response_text:
-        conversation_history.append({"\n ALex-9": response_text})
-        # Extract the prompt between ~~
-        prompt_start = response_text.index("~") + 1
-        prompt_end = response_text.index("~", prompt_start)
-        prompt = response_text[prompt_start:prompt_end]
-
-        # Call the text-to-image API
-        image_url = generate_image(prompt)
-        response_text += f"<br><br><img src='{image_url}'>"
-         # Delete the prompt from the response text
-        response_text = response_text.replace("~" + prompt + "~", "")
-        prompt = response_text
-
-    return response_text
-
-def generate_image(prompt):
-    url = "https://api.braininc.net/be/lambda/function/stableai"
-    headers = {
-        "Authorization": "token 72ec00483379076f580eb8126f29da802a5140c3",
-        "Content-Type": "application/json",
-    }
-
-    payload = {
-        "json": True,
-        "prompt": f"{prompt} Realastic Photo 4K",
-        "public_topic": "/studios/516104/wsuid_new-edge-4_nodeid_editor-4/imageGen/1719250632789"
-    }
-
-    response = requests.post(url, headers=headers, json=payload)
-    data = response.json()
-
-    cdn_url = data["cdn_url"]
-    return cdn_url
-
-url2 = "https://api.braininc.net/be/vectordb/indexers/"
-headers = {
-    "Authorization": "token 72ec00483379076f580eb8126f29da802a5140c3",
-    "Content-Type": "application/json;charset=UTF-8",
-
-}
-
-conversation_history = []
-
 @app.route('/')
-def home():
-    global conversation_history
-    conversation_history = []
+def index():
     return render_template('ai-chat-bot.html')
 
-@app.route('/get_response', methods=['POST'])
-def get_response():
-    user_input = request.form['user_input']
-    conversation_history.append({
-        "role": "user",
-        "content":f"Rizon : {user_input}",
-        "additional_kwargs": {}
-    })
-
-    if user_input.lower() == "exit":
-        return "exit"
-
-    response_text = get_assistant_response(user_input)
-    conversation_history.append({
-        "role": "assistant",
-        "content": f"Elon : {response_text}",
-        "additional_kwargs": {}
-    })
-    return response_text
-
-@app.route('/desine/<path:path>')
-def send_static(path):
-    return send_from_directory('desine', path)
+def main():
+    app.run()
 
 if __name__ == '__main__':
-    main()
+    main()