Update app.py

app.py

@@ -4,7 +4,7 @@ import os
 import json
 import google.generativeai as genai
 from bs4 import BeautifulSoup
-from groq import Groq
+#from groq import Groq
 # Load environment variables
 genai.configure(api_key=os.environ["geminiapikey"])
 read_key = os.environ.get('HF_TOKEN', None)
@@ -21,13 +21,13 @@ custom_css = """
 }
 """
 
-api_key = os.getenv('groq')
+#api_key = os.getenv('groq')
 google_api_key = os.getenv('google_search')
 if api_key is None:
     raise ValueError("groq_whisper environment variable is not set")
 
 # Initialize the Groq client
-client = Groq(api_key=api_key)
+#client = Groq(api_key=api_key)
 
 def perform_search(prompt):
     if prompt.strip() == '':
@@ -39,26 +39,20 @@ def perform_search(prompt):
     try:
         # HTTP GET-Anfrage an die Google Custom Search API
         response = requests.get(url)
-        response.raise_for_status()  # Wirft eine Exception, wenn die Anfrage fehlschlägt
-        #soup = BeautifulSoup(response.content, 'html.parser')
-        #response_text = soup.find('body')
-        #return response_text.text
         # JSON-Antwort parsen
-        data = response.json()
-        
+        data = response.json()       
         # Extrahiere die Suchergebnisse
-        items = data.get('items', [])
-        
+        items = data.get('items', [])       
         results = [item['snippet'] for item in items]
         #return results[0]
         # Kombiniere die Ergebnisse zu einem String
         result_text = '\n'.join(results)
         #return results[0]
         # Formuliere die Antwort
-        search_query = f"{prompt} antworte kurz und knapp. antworte auf deutsch. du findest die antwort hier: {result_text}"
+        #search_query = f"{prompt} antworte kurz und knapp. antworte auf deutsch. du findest die antwort hier: {result_text}"
         #result = predict(search_query)
         #return result
-        return search_query
+        return result_text
 
     except requests.exceptions.RequestException as e:
         print(f"An error occurred: {e}")
@@ -85,42 +79,6 @@ def predict(prompt):
     response = chat_session.send_message(f"{prompt}\n antworte immer auf deutsch")
     response_value = response.candidates[0].content.parts[0].text
     return response_value
-    
-#very simple (and extremly fast) websearch  
-def websearch(search_term):  
-    headers = {
-        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
-    }
-    url = f"https://www.google.com/search?q={search_term}"
-    response = requests.get(url, headers=headers)
-    soup = BeautifulSoup(response.content, 'html.parser')
-    response_text = soup.find('body')
-    prompt = f"{search_term}\n use this result from a google search to answer the question \n {response_text.text}"
-    result = predict(prompt)
-    return result
-    
-
-def process_audio(file_path):
-    try:
-        # Open the audio file
-        with open(file_path, "rb") as file:
-            # Create a translation of the audio file
-            translation = client.audio.transcriptions.create(
-                file=(os.path.basename(file_path), file.read()),  # Correct passing of filename
-                model="whisper-large-v3-turbo",  # Required model to use for translation
-                prompt="transcribe",  # Optional
-                language="de",  # Optional
-                response_format="json",  # Optional
-                temperature=0.0  # Optional
-            )
-            # Return the translation text
-            suche = websearch(translation.text)
-            result = predict(suche)
-            return result
-            return translation.text
-    except Exception as e:
-        return f"An error occurred: {str(e)}"
-
 
 # Create the Gradio interface
 with gr.Blocks(css=custom_css) as demo:
@@ -139,23 +97,3 @@ with gr.Blocks(css=custom_css) as demo:
 # Launch the Gradio application
 demo.launch()
 
-
-
-
-"""
-with gr.Blocks() as speech:  
-    with gr.Row():
-        sr_outputs = gr.Textbox(label="Antwort")
-    with gr.Row():
-        sr_inputs = gr.Microphone(type="filepath") 
-    sr_inputs.change(process_audio, inputs=sr_inputs, outputs=sr_outputs)
-
-speech.launch()
-
-
-
-
-
-"""
-
-