Update app.py

app.py

@@ -11,8 +11,6 @@ import pandas as pd
 api_key = os.environ.get('GROQ_API_KEY')
 read_key = os.environ.get('HF_TOKEN', None)
 
-df = pd.DataFrame()
-
 
 # Initialize Groq client
 if api_key:
@@ -141,7 +139,7 @@ with gr.Blocks() as demo:
     with gr.Row():
         ort_input = gr.Textbox(label="Ort", placeholder="Gib den Namen des Ortes ein")
     with gr.Row():
-        details_output = gr.Dataframe()
+        details_output = gr.Textbox()
 
     def process_ort(ort):
         links_text, links = parse_links_and_content(ort)
@@ -156,31 +154,18 @@ with gr.Blocks() as demo:
             system="you are a expert for json data and your job is to extract information from text and return a valid json object only. no text no explanations",
             api_name="/model_chat"
         )
-        #result[1]=gr.Markdown()
-        #dict_data = json.loads(result[1])
-        #values = list(result.values())
-        # Return the value at index 1
+
         json_data =result[1][0][1]
-        #json_dat = json_data[1]
-        #json_dat=gr.Markdown()
-        #return result
-        #return result[1]
         json_data = json_data.replace("```json","")
         json_data = json_data.replace("```","")
-        #json_data = gr.JSON(json_data)
-        #json_data = json.loads(json_data)
-        # JSON-Daten in ein DataFrame laden
-        df = pd.read_json(json_data)
-        df1 = pd.DataFrame(json_data)
+        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)
-        return df1
+        
         return json_data
 
-
-
-
-
     with gr.Row():
         clearbutton = gr.Button("Clear")  
         button = gr.Button("Senden")