Update app.py

app.py

@@ -1,24 +1,23 @@
 import os
+from flask import Flask, request, jsonify
+import gradio as gr,Client
 import tempfile
-from flask import Flask, request, jsonify, send_file
-from gradio_client import Client
-from openai_chat_module import OpenaiChatModule
-from text2speech import VITSApiTTS
 
 app = Flask(__name__)
 
-@app.route('/process_speech', methods=['POST'])
-def upload_and_return_temp_file():
-    # try:
+def process_input(input_text):
+    # 处理函数
+    result = "Processed: " + input_text
+    return result
+
+@app.route('/api', methods=['POST'])
+def api():
+     # try:
         if 'audio' not in request.files:
             return jsonify({"error": "No audio file provided"})
 
         file = request.files['audio']
         filename = request.form.get('filename')
-        modelid = request.form.get('modelid', default=2)
-
-        if not filename:
-            return jsonify({"error": "No filename parameter provided"})
 
         # Create a temporary directory
         temp_dir = tempfile.mkdtemp()
@@ -27,36 +26,16 @@ def upload_and_return_temp_file():
         destination_path = os.path.join(temp_dir, f"{filename}.wav")
         file.save(destination_path)
         print(destination_path)
-        # from gradio_client import Client
-
-        client = Client()
+        
+        client = Client("https://xxiani-speechbrain-asr-wav2vec2-transformer-aishells.hf.space/")
         result = client.predict(
+             
                         destination_path,	# str (filepath or URL to file) in 'Input' Audio component
                         api_name="/predict"
         )
-
-        openai_chat_module = OpenaiChatModule('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')
-        text = openai_chat_module.chat_with_origin_model(result)
-        print(text)
-        vits_tts = VITSApiTTS(modelid)
-        audio_data = vits_tts.text_to_speech_and_play(text)
-
-        # Save audio data as a file in the temporary directory
-        audio_file_path = os.path.join(temp_dir, ""+filename+".mp3")
-        with open(audio_file_path, "wb") as f:
-            f.write(audio_data)
-        print(audio_file_path)
-        # Return the audio file as a response with the correct content type
-        response = send_file(audio_file_path, mimetype="audio/mp3")
-
-        # # # Cleanup: Delete temporary files and directory
         os.remove(destination_path)
         os.rmdir(temp_dir)
-
-        return response
-
-    # except Exception as e:
-    #     return jsonify({"error": str(e)})
+        return jsonify({'result': result})
 
 if __name__ == '__main__':
-    app.run(host='0.0.0.0', port=5000, debug=True)
+    app.run(host='0.0.0.0', port=5000)