no memory no fr for faster execution

app.py

@@ -80,7 +80,7 @@ def complete_prompt(input_text):
     response = llm(formatted_prompt, max_tokens=80, temperature=0, top_p=0.95, top_k=10)
     text_response = response["choices"][0]["text"]
     token_count += response["usage"]["total_tokens"]
-    memory = f"Prompt: {contextual_prompt}\nResponse: {text_response}"
+    #memory = f"Prompt: {contextual_prompt}\nResponse: {text_response}"
     with open(os.path.join(OUTPUT_PATH, "LLM_response.txt"), 'w') as file:
         file.write(memory)
     return text_response
@@ -154,10 +154,17 @@ def convert_text_to_speech(text):
         tts = gTTS(text, lang=LANGUAGE, tld=tld)
         tts.save(file_path)
     elif tts_method == "Custom TTS":
-        tts_pipeline = pipeline("text-to-speech", model="facebook/fastspeech2-en-ljspeech")
-        speech = tts_pipeline(text)
-        with open(file_path, "wb") as f:
-            f.write(speech["speech"])
+        if LANGUAGE == "fr":
+            tld = "fr"
+        elif LANGUAGE == "en":
+            tld = "us"
+        tts = gTTS(text, lang=LANGUAGE, tld=tld)
+        tts.save(file_path)
+
+        # tts_pipeline = pipeline("text-to-speech", model="facebook/fastspeech2-en-ljspeech")
+        # speech = tts_pipeline(text)
+        # with open(file_path, "wb") as f:
+        #     f.write(speech["speech"])
 
     return file_path
 
@@ -198,7 +205,7 @@ with gr.Blocks(title="Whisper-LLM-TTS") as app:
 
     with gr.Row():
         with gr.Column():
-            language_switch = gr.Radio(choices=["en","fr"], label="Select Language", value=LANGUAGE)
+            language_switch = gr.Radio(choices=["en"], label="Select Language", value=LANGUAGE)
             language_switch.change(update_language, inputs=[language_switch])
         with gr.Column():
             tts_method_switch = gr.Radio(choices=["gTTS", "Custom TTS"], label="Select TTS method", value=tts_method)