app1

app.py

@@ -139,14 +139,8 @@ def chat_interface(question, audio_input=None, history=None):
             return transcriber({"sampling_rate": sr, "raw": y})["text"]
 
         # Transcribe the audio input
-        transcribed_text = transcribe(audio_input)
-
-        # Call the chatbot API with the transcribed text
-        client = Client("https://ysharma-explore-llamav2-with-tgi.hf.space/")
-        response = client.predict(
-            transcribed_text,
-            api_name="/chat"
-        )
+        question = transcribe(audio_input)
+
 
         return response
 

requirements.txt

@@ -9,4 +9,5 @@ chromadb
 gradio
 beautifulsoup4
 tensorflow
-soundfile
+soundfile
+numpy