add histories as input to transcribe function

app.py

@@ -13,7 +13,7 @@ LLM_MODEL_NAME = "mistralai/Mistral-7B-Instruct-v0.2"
 
 system_prompt = """"<s>[INST] You are Friday, a helpful and conversational AI assistant and You respond with one to two sentences. [/INST] Hello there! I'm friday how can I help you?</s>"""
 
-chat_history = system_prompt + """"""
+instruct_history = system_prompt + """"""
 
 formatted_history = """"""
 
@@ -43,18 +43,17 @@ def generate(user_prompt, temperature=0.1, max_new_tokens=128, top_p=0.95, repet
         seed=42,
     )
 
-    chat_history += f"""<s>[INST] {user_prompt} [/INST] """
+    instruct_history += f"""<s>[INST] {user_prompt} [/INST] """
 
     output = client.text_generation(
-        chat_history, **generate_kwargs, stream=False, details=False, return_full_text=False)
+        instruct_history, **generate_kwargs, stream=False, details=False, return_full_text=False)
 
     print(output)
     return output
 
 
 @spaces.GPU(duration=60)
-def transcribe(audio):
-    global formatted_history, chat_history
+def transcribe(audio, formatted_history, instruct_history):
 
     sr, y = audio
     y = y.astype(np.float32)
@@ -66,14 +65,14 @@ def transcribe(audio):
 
     llm_response = generate(inputs)
 
-    chat_history += f""" {llm_response}</s>"""
+    instruct_history += f""" {llm_response}</s>"""
 
     formatted_history += f"""Friday: {llm_response}\n"""
 
     audio_response = gTTS(llm_response)
     audio_response.save("response.mp3")
 
-    print(chat_history)
+    print(instruct_history)
 
     return "response.mp3", formatted_history
 
@@ -93,7 +92,7 @@ with gr.Blocks() as demo:
     transcription_box = gr.Textbox(
         formatted_history, label="Transcription")
 
-    transcribe_btn.click(fn=transcribe, inputs=audio_input,
+    transcribe_btn.click(fn=transcribe, inputs=[audio_input, formatted_history, instruct_history],
                          outputs=[output_audio, transcription_box])