Update app.py

app.py

@@ -1,64 +1,97 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
+from flask import Flask, request, jsonify
+import os
+import json
+import zipfile
+import requests
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+app = Flask(__name__)
 
+class APIService:
+    """ Basisklasse für alle API-Dienste. """
+    def __init__(self, api_key):
+        self.api_key = api_key
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+    def fetch(self, *args, **kwargs):
+        raise NotImplementedError("Diese Methode muss von Unterklassen implementiert werden.")
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+class SynonymAPI(APIService):
+    """ API-Dienst für Synonyme. """
+    def fetch(self, word):
+        url = f"https://lingua-robot.p.rapidapi.com/language/v1/synonyms?word={word}"
+        headers = {
+            'x-rapidapi-key': self.api_key,
+            'x-rapidapi-host': "lingua-robot.p.rapidapi.com"
+        }
+        response = requests.get(url, headers=headers)
+        return response.json()['entries'][0]['synonyms'] if response.status_code == 200 else []
 
-    messages.append({"role": "user", "content": message})
+class AliasManager:
+    """ Verwaltung von Aliasen. """
+    aliases = []
 
-    response = ""
+    @classmethod
+    def add_alias(cls, alias_name, command, description):
+        cls.aliases.append({
+            "alias_name": alias_name,
+            "command": command,
+            "description": description
+        })
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+    @classmethod
+    def list_aliases(cls):
+        return cls.aliases
 
-        response += token
-        yield response
+class BackupManager:
+    """ Backup-Funktionalitäten """
+    @staticmethod
+    def create_backup():
+        backup_filename = "project_backup.zip"
+        with zipfile.ZipFile(backup_filename, 'w') as zipf:
+            for root, dirs, files in os.walk("."):
+                for file in files:
+                    if file not in ["project_backup.zip"]:
+                        zipf.write(os.path.join(root, file))
+        return backup_filename
 
+# API-Routen
+@app.route('/aliases', methods=['GET', 'POST'])
+def manage_aliases():
+    if request.method == 'POST':
+        data = request.json
+        alias_name = data.get('alias_name')
+        command = data.get('command')
+        description = data.get('description')
+        AliasManager.add_alias(alias_name, command, description)
+        return jsonify({"status": "Alias erfolgreich erstellt", "alias_name": alias_name})
+    else:
+        return jsonify(AliasManager.list_aliases())
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
+@app.route('/create-script', methods=['POST'])
+def create_script():
+    data = request.json
+    script_name = data.get('script_name')
+    content = data.get('content')
+    description = data.get('description')
 
+    with open(f"my_scripts/{script_name}.py", "w") as script_file:
+        script_file.write(content)
 
-if __name__ == "__main__":
-    demo.launch()
+    return jsonify({"status": "Skript erfolgreich erstellt", "script_name": script_name})
+
+@app.route('/create-backup', methods=['POST'])
+def create_backup():
+    backup_filename = BackupManager.create_backup()
+    return jsonify({"status": "Backup erfolgreich erstellt", "backup_filename": backup_filename})
+
+@app.route('/tasks', methods=['GET'])
+def get_tasks():
+    if os.path.exists("tasks.json"):
+        with open("tasks.json", "r") as tasks_file:
+            tasks = json.load(tasks_file)
+    else:
+        tasks = []
+    return jsonify(tasks)
+
+# Start des Servers
+if __name__ == '__main__':
+    app.run(debug=True)