Update app.py

app.py

@@ -4,14 +4,12 @@ from bs4 import BeautifulSoup
 from urllib.parse import urljoin
 import os
 import json
-import csv
 import pandas as pd
 
 # Load environment variables
 api_key = os.environ.get('GROQ_API_KEY')
 read_key = os.environ.get('HF_TOKEN', None)
 
-
 # Initialize Groq client
 if api_key:
     from groq import Client as GroqClient
@@ -37,7 +35,6 @@ def ask_llm(ort):
         return f"Error in response generation: {str(e)}"
 
 def parse_links_and_content(ort):
-    
     base_url = "https://vereine-in-deutschland.net"
     all_links = []
     all_links_text = []
@@ -83,7 +80,7 @@ def parse_links_and_content(ort):
 def extract_vereinsname(url):
     parts = url.split('/')
     vereinsname = parts[-1]
-    vereinsname = vereinsname.replace("-"," ")
+    vereinsname = vereinsname.replace("-", " ")
     return vereinsname
 
 def scrape_links(links):
@@ -132,14 +129,13 @@ def clear():
 def load_data():
     return df
 
-
 # Create the Gradio interface
 with gr.Blocks() as demo:
     gr.Markdown("[![Download](https://specialist-it.de/downloadbut.png)](https://specialist-it.de/verein.csv)")
     with gr.Row():
         ort_input = gr.Textbox(label="Ort", placeholder="Gib den Namen des Ortes ein")
     with gr.Row():
-        details_output = gr.TextArea(label="Ausgabe")
+        details_output = gr.DataFrame(label="Ausgabe")
 
     def process_ort(ort):
         links_text, links = parse_links_and_content(ort)
@@ -155,16 +151,17 @@ with gr.Blocks() as demo:
             api_name="/model_chat"
         )
 
-        json_data =result[1][0][1]
-        json_data = json_data.replace("```json","")
-        json_data = json_data.replace("```","")
-        json_data = gr.JSON(json_data)
-        #df = pd.read_json(json_data)
-        #df1 = pd.DataFrame(json_data)
-        # DataFrame in eine CSV-Datei konvertieren
-        #df.to_csv('daten.csv', index=False)
+        json_data = result[1][0][1]
+        json_data = json_data.replace("```json", "")
+        json_data = json_data.replace("```", "")
+        
+        # Convert JSON string to Python dictionary
+        data_dict = json.loads(json_data)
+        
+        # Convert dictionary to DataFrame
+        df = pd.DataFrame(data_dict)
         
-        return json_data
+        return df
 
     with gr.Row():
         clearbutton = gr.Button("Clear")