Update app.py

app.py

@@ -43,14 +43,6 @@ def update(message):
     except Exception as e:
         return f"Error in response generation: {str(e)}"
 
-
-#def text_to_speech(text):
-    #engine = pyttsx3.init()
-    #engine.say(text)
-    #engine.runAndWait()
-
-
-
 # Function to transcribe audio data to text
 def transcribe_audio(audio):
     recognizer = sr.Recognizer()
@@ -60,27 +52,8 @@ def transcribe_audio(audio):
             text = recognizer.recognize_google(audio_data, language="de-DE")
             result = update(text)
             #result=gr.Markdown(result)
-            
-            engine = pyttsx3.init()
-            engine.say(result)
-            engine.runAndWait()
             return result
-            result = client.predict(
-                query=text,
-                history=[],
-                system="You are Qwen, created by Alibaba Cloud. You are a helpful assistant.",
-            api_name="/model_chat"
-    )
-            result = result[1]
-            result = result[0][1]
-            result=gr.Markdown(result)
-            #tts = gTTS(text=result, lang='de')
-            #tts.save("./chroma/output.mp3")
-            #os.system("start ./chroma/output.mp3")  # Dies spielt die Audiodatei ab
-            #text_to_speech(result)
-            return result
-            #text = update(text)
-            #return text
+
         except sr.UnknownValueError:
             return "Speech recognition could not understand the audio."
         except sr.RequestError as e:
@@ -172,12 +145,7 @@ def search_similar_documents(prompt):
     #return "\n".join(formatted_results)
    
 with gr.Blocks() as chat:
-    gr.Markdown("### Ask your Docs", elem_classes="tab-header")
-    #with gr.Row():
-        #prompt_input = gr.Textbox(label="Suche nach ähnlichen Dokumenten", placeholder="Gib einen Suchbegriff ein")
-        #search_output = gr.Textbox(label="Ähnliche Dokumente")
-    #with gr.Row():
-        #search_button = gr.Button("Suchen")
+    gr.Markdown("### Ask the RKI Files", elem_classes="tab-header")
     with gr.Row():       
         llm_output = gr.Textbox(label="LLM Answer")
     with gr.Row():
@@ -188,7 +156,7 @@ with gr.Blocks() as chat:
     llm_submit_button.click(ask_llm, inputs=llm_prompt_input, outputs=llm_output)
 
 with gr.Blocks() as upload:
-    gr.Markdown("### upload", elem_classes="tab-header")
+    gr.Markdown("### File upload", elem_classes="tab-header")
     with gr.Row():
         file_input = gr.File(label="Wähle eine PDF-Datei aus", type="filepath")
         upload_output = gr.Textbox(label="Upload Status")
@@ -230,7 +198,7 @@ with gr.Blocks() as speech:
 # Erstelle die Gradio-Schnittstelle
 with gr.Blocks() as demo:
     gr.TabbedInterface(
-        [chat, upload, suche, speech]
+        [chat, upload, suche]
     )